diff --git a/src/sagemaker/debugger/profiler_config.py b/src/sagemaker/debugger/profiler_config.py
index 3d4a24e8d1..561de38b9f 100644
--- a/src/sagemaker/debugger/profiler_config.py
+++ b/src/sagemaker/debugger/profiler_config.py
@@ -32,6 +32,7 @@ def __init__(
         s3_output_path: Optional[Union[str, PipelineVariable]] = None,
         system_monitor_interval_millis: Optional[Union[int, PipelineVariable]] = None,
         framework_profile_params: Optional[FrameworkProfile] = None,
+        disable_profiler: Optional[Union[str, PipelineVariable]] = False,
     ):
         """Initialize a ``ProfilerConfig`` instance.
 
@@ -78,6 +79,7 @@ class and SageMaker Framework estimators.
         self.s3_output_path = s3_output_path
         self.system_monitor_interval_millis = system_monitor_interval_millis
         self.framework_profile_params = framework_profile_params
+        self.disable_profiler = disable_profiler
 
     def _to_request_dict(self):
         """Generate a request dictionary using the parameters provided when initializing the object.
@@ -91,6 +93,8 @@ def _to_request_dict(self):
         if self.s3_output_path is not None:
             profiler_config_request["S3OutputPath"] = self.s3_output_path
 
+        profiler_config_request["DisableProfiler"] = self.disable_profiler
+
         if self.system_monitor_interval_millis is not None:
             profiler_config_request[
                 "ProfilingIntervalInMilliseconds"
diff --git a/src/sagemaker/estimator.py b/src/sagemaker/estimator.py
index e3b06950aa..8ed9b724a5 100644
--- a/src/sagemaker/estimator.py
+++ b/src/sagemaker/estimator.py
@@ -938,26 +938,29 @@ def _prepare_collection_configs(self):
     def _prepare_profiler_for_training(self):
         """Set necessary values and do basic validations in profiler config and profiler rules.
 
-        When user explicitly set rules to an empty list, default profiler rule won't be enabled.
-        Default profiler rule will be enabled in supported regions when either:
-        1. user doesn't specify any rules, i.e., rules=None; or
-        2. user only specify debugger rules, i.e., rules=[Rule.sagemaker(...)]
+        No default profiler rule will be used. The user needs to specify rules explicitly
         """
         if self.disable_profiler:
-            if self.profiler_config:
-                raise RuntimeError("profiler_config cannot be set when disable_profiler is True.")
+            if self.profiler_config and not self.profiler_config.disable_profiler:
+                raise RuntimeError(
+                    "profiler_config.disable_profiler cannot be False"
+                    + " when disable_profiler is True."
+                )
             if self.profiler_rules:
                 raise RuntimeError("ProfilerRule cannot be set when disable_profiler is True.")
         elif _region_supports_profiler(self.sagemaker_session.boto_region_name):
             if self.profiler_config is None:
                 self.profiler_config = ProfilerConfig(s3_output_path=self.output_path)
             if self.rules is None or (self.rules and not self.profiler_rules):
-                self.profiler_rules = [get_default_profiler_rule()]
+                self.profiler_rules = []
 
         if self.profiler_config and not self.profiler_config.s3_output_path:
             self.profiler_config.s3_output_path = self.output_path
 
         self.profiler_rule_configs = self._prepare_profiler_rules()
+        # if profiler_config is still None, it means the job has profiler disabled
+        if self.profiler_config is None:
+            self.profiler_config = ProfilerConfig(disable_profiler=True)
 
     def _prepare_profiler_rules(self):
         """Set any necessary values in profiler rules, if they are provided."""
@@ -1048,7 +1051,7 @@ def latest_job_profiler_artifacts_path(self):
             error_message="""Cannot get the profiling output artifacts path.
         The Estimator is not associated with a training job."""
         )
-        if self.profiler_config is not None:
+        if self.profiler_config is not None and not self.profiler_config.disable_profiler:
             return os.path.join(
                 self.profiler_config.s3_output_path,
                 self.latest_training_job.name,
@@ -1895,8 +1898,8 @@ def enable_default_profiling(self):
         else:
             self.profiler_config = ProfilerConfig(s3_output_path=self.output_path)
 
-        self.profiler_rules = [get_default_profiler_rule()]
-        self.profiler_rule_configs = self._prepare_profiler_rules()
+        self.profiler_rules = []
+        self.profiler_rule_configs = []
 
         _TrainingJob.update(
             self, self.profiler_rule_configs, self.profiler_config._to_request_dict()
diff --git a/tests/integ/sagemaker/workflow/test_workflow.py b/tests/integ/sagemaker/workflow/test_workflow.py
index 44f4e2d26e..bd24b653ae 100644
--- a/tests/integ/sagemaker/workflow/test_workflow.py
+++ b/tests/integ/sagemaker/workflow/test_workflow.py
@@ -1269,8 +1269,6 @@ def test_caching_behavior(
         # create pipeline
         pipeline.create(role)
         definition = json.loads(pipeline.definition())
-        # delete profiler config for assertions as it will contain a timestamp
-        del definition["Steps"][1]["Arguments"]["ProfilerRuleConfigurations"]
 
         # verify input path
         expected_abalone_input_path = f"{pipeline_name}/{step_process.name}" f"/input/abalone_data"
@@ -1295,7 +1293,6 @@ def test_caching_behavior(
 
         # verify no changes
         definition2 = json.loads(pipeline.definition())
-        del definition2["Steps"][1]["Arguments"]["ProfilerRuleConfigurations"]
         assert definition == definition2
 
         # add dummy file to source_dir
@@ -1306,7 +1303,6 @@ def test_caching_behavior(
 
         # verify changes
         definition3 = json.loads(pipeline.definition())
-        del definition3["Steps"][1]["Arguments"]["ProfilerRuleConfigurations"]
         assert definition != definition3
 
     finally:
diff --git a/tests/integ/test_profiler.py b/tests/integ/test_profiler.py
index bddd53e20c..7d3fdb2d7b 100644
--- a/tests/integ/test_profiler.py
+++ b/tests/integ/test_profiler.py
@@ -13,7 +13,6 @@
 from __future__ import absolute_import
 
 import os
-import re
 import time
 import uuid
 
@@ -22,7 +21,6 @@
 from sagemaker.debugger import (
     DebuggerHookConfig,
     FrameworkProfile,
-    get_rule_container_image_uri,
     ProfilerConfig,
     ProfilerRule,
     Rule,
@@ -93,8 +91,6 @@ def test_mxnet_with_default_profiler_config_and_profiler_rule(
         )
 
         job_description = mx.latest_training_job.describe()
-        if "DisableProfiler" in job_description["ProfilerConfig"]:
-            job_description["ProfilerConfig"].pop("DisableProfiler")
         assert (
             job_description["ProfilerConfig"]
             == ProfilerConfig(
@@ -103,13 +99,6 @@ def test_mxnet_with_default_profiler_config_and_profiler_rule(
         )
         assert job_description.get("ProfilingStatus") == "Enabled"
 
-        profiler_rule_configuration = job_description.get("ProfilerRuleConfigurations")[0]
-        assert re.match(r"ProfilerReport-\d*", profiler_rule_configuration["RuleConfigurationName"])
-        assert profiler_rule_configuration["RuleEvaluatorImage"] == get_rule_container_image_uri(
-            mx.sagemaker_session.boto_region_name
-        )
-        assert profiler_rule_configuration["RuleParameters"] == {"rule_to_invoke": "ProfilerReport"}
-
         with pytest.raises(ValueError) as error:
             mx.enable_default_profiling()
         assert "Debugger monitoring is already enabled." in str(error)
@@ -155,18 +144,9 @@ def test_mxnet_with_custom_profiler_config_then_update_rule_and_config(
         )
 
         job_description = mx.latest_training_job.describe()
-        if "DisableProfiler" in job_description["ProfilerConfig"]:
-            job_description["ProfilerConfig"].pop("DisableProfiler")
         assert job_description.get("ProfilerConfig") == profiler_config._to_request_dict()
         assert job_description.get("ProfilingStatus") == "Enabled"
 
-        profiler_rule_configuration = job_description.get("ProfilerRuleConfigurations")[0]
-        assert re.match(r"ProfilerReport-\d*", profiler_rule_configuration["RuleConfigurationName"])
-        assert profiler_rule_configuration["RuleEvaluatorImage"] == get_rule_container_image_uri(
-            mx.sagemaker_session.boto_region_name
-        )
-        assert profiler_rule_configuration["RuleParameters"] == {"rule_to_invoke": "ProfilerReport"}
-
         _wait_until_training_can_be_updated(sagemaker_session.sagemaker_client, training_job_name)
 
         mx.update_profiler(
@@ -178,13 +158,6 @@ def test_mxnet_with_custom_profiler_config_then_update_rule_and_config(
         assert job_description["ProfilerConfig"]["S3OutputPath"] == profiler_config.s3_output_path
         assert job_description["ProfilerConfig"]["ProfilingIntervalInMilliseconds"] == 500
 
-        profiler_report_rule_config = job_description.get("ProfilerRuleConfigurations")[0]
-        assert re.match(r"ProfilerReport-\d*", profiler_report_rule_config["RuleConfigurationName"])
-        assert profiler_report_rule_config["RuleEvaluatorImage"] == get_rule_container_image_uri(
-            mx.sagemaker_session.boto_region_name
-        )
-        assert profiler_report_rule_config["RuleParameters"] == {"rule_to_invoke": "ProfilerReport"}
-
 
 def test_mxnet_with_built_in_profiler_rule_with_custom_parameters(
     sagemaker_session,
@@ -225,8 +198,6 @@ def test_mxnet_with_built_in_profiler_rule_with_custom_parameters(
         )
 
         job_description = mx.latest_training_job.describe()
-        if "DisableProfiler" in job_description["ProfilerConfig"]:
-            job_description["ProfilerConfig"].pop("DisableProfiler")
         assert job_description.get("ProfilingStatus") == "Enabled"
         assert (
             job_description.get("ProfilerConfig")
@@ -298,8 +269,6 @@ def test_mxnet_with_profiler_and_debugger_then_disable_framework_metrics(
         )
 
         job_description = mx.latest_training_job.describe()
-        if "DisableProfiler" in job_description["ProfilerConfig"]:
-            job_description["ProfilerConfig"].pop("DisableProfiler")
         assert job_description["ProfilerConfig"] == profiler_config._to_request_dict()
         assert job_description["DebugHookConfig"] == debugger_hook_config._to_request_dict()
         assert job_description.get("ProfilingStatus") == "Enabled"
@@ -387,13 +356,6 @@ def test_mxnet_with_enable_framework_metrics_then_update_framework_metrics(
             == updated_framework_profile.profiling_parameters
         )
 
-        profiler_rule_configuration = job_description.get("ProfilerRuleConfigurations")[0]
-        assert re.match(r"ProfilerReport-\d*", profiler_rule_configuration["RuleConfigurationName"])
-        assert profiler_rule_configuration["RuleEvaluatorImage"] == get_rule_container_image_uri(
-            mx.sagemaker_session.boto_region_name
-        )
-        assert profiler_rule_configuration["RuleParameters"] == {"rule_to_invoke": "ProfilerReport"}
-
 
 def test_mxnet_with_disable_profiler_then_enable_default_profiling(
     sagemaker_session,
@@ -431,12 +393,10 @@ def test_mxnet_with_disable_profiler_then_enable_default_profiling(
         )
 
         job_description = mx.latest_training_job.describe()
-        assert job_description.get("ProfilerConfig") is None
         assert job_description.get("ProfilerRuleConfigurations") is None
         assert job_description.get("ProfilingStatus") == "Disabled"
 
         _wait_until_training_can_be_updated(sagemaker_session.sagemaker_client, training_job_name)
-
         mx.enable_default_profiling()
 
         job_description = mx.latest_training_job.describe()
diff --git a/tests/unit/sagemaker/huggingface/test_estimator.py b/tests/unit/sagemaker/huggingface/test_estimator.py
index 0088e34c58..072eefeb83 100644
--- a/tests/unit/sagemaker/huggingface/test_estimator.py
+++ b/tests/unit/sagemaker/huggingface/test_estimator.py
@@ -143,14 +143,8 @@ def _create_train_job(version, base_framework_version):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/sagemaker/tensorflow/test_estimator.py b/tests/unit/sagemaker/tensorflow/test_estimator.py
index fea80b7ea9..771b18b35a 100644
--- a/tests/unit/sagemaker/tensorflow/test_estimator.py
+++ b/tests/unit/sagemaker/tensorflow/test_estimator.py
@@ -136,14 +136,8 @@ def _create_train_job(tf_version, horovod=False, ps=False, py_version="py2", smd
         "metric_definitions": None,
         "environment": None,
         "experiment_config": None,
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/sagemaker/training_compiler/test_huggingface_pytorch_compiler.py b/tests/unit/sagemaker/training_compiler/test_huggingface_pytorch_compiler.py
index d35c0a51dd..656730a47c 100644
--- a/tests/unit/sagemaker/training_compiler/test_huggingface_pytorch_compiler.py
+++ b/tests/unit/sagemaker/training_compiler/test_huggingface_pytorch_compiler.py
@@ -145,14 +145,8 @@ def _create_train_job(
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/sagemaker/training_compiler/test_huggingface_tensorflow_compiler.py b/tests/unit/sagemaker/training_compiler/test_huggingface_tensorflow_compiler.py
index 7645c4fe23..c3684ac649 100644
--- a/tests/unit/sagemaker/training_compiler/test_huggingface_tensorflow_compiler.py
+++ b/tests/unit/sagemaker/training_compiler/test_huggingface_tensorflow_compiler.py
@@ -143,14 +143,8 @@ def _create_train_job(
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/sagemaker/training_compiler/test_pytorch_compiler.py b/tests/unit/sagemaker/training_compiler/test_pytorch_compiler.py
index 0fe2402695..068bb4e4b9 100644
--- a/tests/unit/sagemaker/training_compiler/test_pytorch_compiler.py
+++ b/tests/unit/sagemaker/training_compiler/test_pytorch_compiler.py
@@ -137,14 +137,10 @@ def _create_train_job(version, instance_type, training_compiler_config, instance
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
-        "profiler_config": {"S3OutputPath": "s3://{}/".format(BUCKET_NAME)},
+        "profiler_config": {
+            "DisableProfiler": False,
+            "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
+        },
     }
 
 
diff --git a/tests/unit/sagemaker/training_compiler/test_tensorflow_compiler.py b/tests/unit/sagemaker/training_compiler/test_tensorflow_compiler.py
index 1ce58a19b4..a5c14b1626 100644
--- a/tests/unit/sagemaker/training_compiler/test_tensorflow_compiler.py
+++ b/tests/unit/sagemaker/training_compiler/test_tensorflow_compiler.py
@@ -145,14 +145,8 @@ def _create_train_job(framework_version, instance_type, training_compiler_config
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "503895931360.dkr.ecr.us-east-1.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/sagemaker/workflow/test_step_collections.py b/tests/unit/sagemaker/workflow/test_step_collections.py
index 2bf47a79d0..95738c99ca 100644
--- a/tests/unit/sagemaker/workflow/test_step_collections.py
+++ b/tests/unit/sagemaker/workflow/test_step_collections.py
@@ -796,6 +796,7 @@ def test_register_model_with_model_repack_with_estimator(
                         "CollectionConfigurations": [],
                         "S3OutputPath": f"s3://{BUCKET}/",
                     },
+                    "ProfilerConfig": {"DisableProfiler": True},
                     "HyperParameters": {
                         "inference_script": '"dummy_script.py"',
                         "dependencies": f'"{dummy_requirements}"',
@@ -923,6 +924,7 @@ def test_register_model_with_model_repack_with_model(model, model_metrics, drift
                         "CollectionConfigurations": [],
                         "S3OutputPath": f"s3://{BUCKET}/",
                     },
+                    "ProfilerConfig": {"DisableProfiler": True},
                     "HyperParameters": {
                         "inference_script": '"dummy_script.py"',
                         "model_archive": '"s3://my-bucket/model.tar.gz"',
@@ -1052,6 +1054,7 @@ def test_register_model_with_model_repack_with_pipeline_model(
                         "CollectionConfigurations": [],
                         "S3OutputPath": f"s3://{BUCKET}/",
                     },
+                    "ProfilerConfig": {"DisableProfiler": True},
                     "HyperParameters": {
                         "dependencies": "null",
                         "inference_script": '"dummy_script.py"',
@@ -1243,6 +1246,7 @@ def test_estimator_transformer_with_model_repack_with_estimator(estimator):
                     "TrainingImage": "246618743249.dkr.ecr.us-west-2.amazonaws.com/"
                     + "sagemaker-scikit-learn:0.23-1-cpu-py3",
                 },
+                "ProfilerConfig": {"DisableProfiler": True},
                 "OutputDataConfig": {"S3OutputPath": "s3://my-bucket/"},
                 "StoppingCondition": {"MaxRuntimeInSeconds": 86400},
                 "ResourceConfig": {
diff --git a/tests/unit/sagemaker/workflow/test_steps.py b/tests/unit/sagemaker/workflow/test_steps.py
index ba712d11d7..f2046cc00f 100644
--- a/tests/unit/sagemaker/workflow/test_steps.py
+++ b/tests/unit/sagemaker/workflow/test_steps.py
@@ -329,6 +329,7 @@ def test_training_step_base_estimator(sagemaker_session):
                 "CollectionConfigurations": [],
             },
             "ProfilerConfig": {
+                "DisableProfiler": False,
                 "ProfilingIntervalInMilliseconds": 500,
                 "S3OutputPath": {"Std:Join": {"On": "/", "Values": ["s3:/", "a", "b"]}},
             },
@@ -438,7 +439,7 @@ def test_training_step_tensorflow(sagemaker_session):
                 "sagemaker_instance_type": {"Get": "Parameters.InstanceType"},
                 "sagemaker_distributed_dataparallel_custom_mpi_options": '""',
             },
-            "ProfilerConfig": {"S3OutputPath": "s3://my-bucket/"},
+            "ProfilerConfig": {"DisableProfiler": False, "S3OutputPath": "s3://my-bucket/"},
         },
         "CacheConfig": {"Enabled": True, "ExpireAfter": "PT1H"},
     }
diff --git a/tests/unit/sagemaker/workflow/test_training_step.py b/tests/unit/sagemaker/workflow/test_training_step.py
index 3e8b57b069..7f8e6b0c62 100644
--- a/tests/unit/sagemaker/workflow/test_training_step.py
+++ b/tests/unit/sagemaker/workflow/test_training_step.py
@@ -401,10 +401,6 @@ def test_training_step_with_estimator(
     }
     step_definition = json.loads(pipeline.definition())["Steps"][0]
 
-    # delete profiler rule configurations because of timestamp collision
-    del step_definition["Arguments"]["ProfilerRuleConfigurations"]
-    del step_args["ProfilerRuleConfigurations"]
-
     assert step_definition == {
         "Name": "MyTrainingStep",
         "Description": "TrainingStep description",
@@ -428,7 +424,6 @@ def test_training_step_with_estimator(
 
     # test idempotency
     step_def2 = json.loads(pipeline.definition())["Steps"][0]
-    del step_def2["Arguments"]["ProfilerRuleConfigurations"]
     assert step_definition == step_def2
 
 
@@ -537,10 +532,6 @@ def test_training_step_with_framework_estimator(
     del expected_step_args["OutputDataConfig"]["S3OutputPath"]
     del step_def["Arguments"]["OutputDataConfig"]["S3OutputPath"]
 
-    # delete profiler rule configurations because of timestamp collision
-    del step_def["Arguments"]["ProfilerRuleConfigurations"]
-    del expected_step_args["ProfilerRuleConfigurations"]
-
     if "sagemaker_s3_output" in step_args["HyperParameters"]:
         del expected_step_args["HyperParameters"]["sagemaker_s3_output"]
         del step_def["Arguments"]["HyperParameters"]["sagemaker_s3_output"]
@@ -555,7 +546,6 @@ def test_training_step_with_framework_estimator(
     step_def2 = json.loads(pipeline.definition())["Steps"][0]
     del step_def2["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
     del step_def2["Arguments"]["OutputDataConfig"]["S3OutputPath"]
-    del step_def2["Arguments"]["ProfilerRuleConfigurations"]
     if "sagemaker_s3_output" in step_def2["Arguments"]["HyperParameters"]:
         del step_def2["Arguments"]["HyperParameters"]["sagemaker_s3_output"]
     assert step_def == step_def2
@@ -608,10 +598,6 @@ def test_training_step_with_framework_estimator_local_code(
     del expected_step_args["OutputDataConfig"]["S3OutputPath"]
     del step_def["Arguments"]["OutputDataConfig"]["S3OutputPath"]
 
-    # delete profiler rule configurations because of timestamp collision
-    del step_def["Arguments"]["ProfilerRuleConfigurations"]
-    del expected_step_args["ProfilerRuleConfigurations"]
-
     if "sagemaker_s3_output" in step_args["HyperParameters"]:
         del expected_step_args["HyperParameters"]["sagemaker_s3_output"]
         del step_def["Arguments"]["HyperParameters"]["sagemaker_s3_output"]
@@ -626,7 +612,6 @@ def test_training_step_with_framework_estimator_local_code(
     step_def2 = json.loads(pipeline.definition())["Steps"][0]
     del step_def2["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
     del step_def2["Arguments"]["OutputDataConfig"]["S3OutputPath"]
-    del step_def2["Arguments"]["ProfilerRuleConfigurations"]
     if "sagemaker_s3_output" in step_def2["Arguments"]["HyperParameters"]:
         del step_def2["Arguments"]["HyperParameters"]["sagemaker_s3_output"]
     assert step_def == step_def2
@@ -701,10 +686,6 @@ def test_training_step_with_algorithm_base(algo_estimator, training_input, pipel
     del step_args["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
     del step_def["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
 
-    # delete profiler rule configurations because of timestamp collision
-    del step_def["Arguments"]["ProfilerRuleConfigurations"]
-    del step_args["ProfilerRuleConfigurations"]
-
     assert step_def == {
         "Name": "MyTrainingStep",
         "Type": "Training",
@@ -714,7 +695,6 @@ def test_training_step_with_algorithm_base(algo_estimator, training_input, pipel
     # test idempotency
     step_def2 = json.loads(pipeline.definition())["Steps"][0]
     del step_def2["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
-    del step_def2["Arguments"]["ProfilerRuleConfigurations"]
     assert step_def == step_def2
 
 
@@ -789,10 +769,6 @@ def test_training_step_with_algorithm_base_local_code(
     del step_args["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
     del step_def["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
 
-    # delete profiler rule configurations because of timestamp collision
-    del step_def["Arguments"]["ProfilerRuleConfigurations"]
-    del step_args["ProfilerRuleConfigurations"]
-
     assert step_def == {
         "Name": "MyTrainingStep",
         "Type": "Training",
@@ -802,7 +778,6 @@ def test_training_step_with_algorithm_base_local_code(
     # test idempotency
     step_def2 = json.loads(pipeline.definition())["Steps"][0]
     del step_def2["Arguments"]["InputDataConfig"][0]["DataSource"]["S3DataSource"]["S3Uri"]
-    del step_def2["Arguments"]["ProfilerRuleConfigurations"]
     assert step_def == step_def2
 
 
diff --git a/tests/unit/sagemaker/workflow/test_utils.py b/tests/unit/sagemaker/workflow/test_utils.py
index c8d86c5866..d1b81f3148 100644
--- a/tests/unit/sagemaker/workflow/test_utils.py
+++ b/tests/unit/sagemaker/workflow/test_utils.py
@@ -107,6 +107,7 @@ def test_repack_model_step(estimator):
                 }
             ],
             "OutputDataConfig": {"S3OutputPath": f"s3://{BUCKET}/"},
+            "ProfilerConfig": {"DisableProfiler": True},
             "ResourceConfig": {
                 "InstanceCount": 1,
                 "InstanceType": "ml.m5.large",
@@ -188,6 +189,7 @@ def test_repack_model_step_with_source_dir(estimator, source_dir):
                 }
             ],
             "OutputDataConfig": {"S3OutputPath": f"s3://{BUCKET}/"},
+            "ProfilerConfig": {"DisableProfiler": True},
             "ResourceConfig": {
                 "InstanceCount": 1,
                 "InstanceType": "ml.m5.large",
diff --git a/tests/unit/test_chainer.py b/tests/unit/test_chainer.py
index 7cc973440f..eca4a9bf80 100644
--- a/tests/unit/test_chainer.py
+++ b/tests/unit/test_chainer.py
@@ -150,14 +150,8 @@ def _create_train_job(version, py_version):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/test_estimator.py b/tests/unit/test_estimator.py
index 868da88d78..8b771f9184 100644
--- a/tests/unit/test_estimator.py
+++ b/tests/unit/test_estimator.py
@@ -25,7 +25,10 @@
 from botocore.exceptions import ClientError
 from mock import ANY, MagicMock, Mock, patch, PropertyMock
 from sagemaker.huggingface.estimator import HuggingFace
-from sagemaker.jumpstart.constants import JUMPSTART_BUCKET_NAME_SET, JUMPSTART_RESOURCE_BASE_NAME
+from sagemaker.jumpstart.constants import (
+    JUMPSTART_BUCKET_NAME_SET,
+    JUMPSTART_RESOURCE_BASE_NAME,
+)
 from sagemaker.jumpstart.enums import JumpStartTag
 
 import sagemaker.local
@@ -106,7 +109,11 @@
         "training_steps": "100",
     },
     "RoleArn": "arn:aws:iam::366:role/SageMakerRole",
-    "ResourceConfig": {"VolumeSizeInGB": 30, "InstanceCount": 1, "InstanceType": "ml.c4.xlarge"},
+    "ResourceConfig": {
+        "VolumeSizeInGB": 30,
+        "InstanceCount": 1,
+        "InstanceType": "ml.c4.xlarge",
+    },
     "EnableNetworkIsolation": False,
     "StoppingCondition": {"MaxRuntimeInSeconds": 24 * 60 * 60},
     "TrainingJobName": "neo",
@@ -143,7 +150,10 @@
 }
 MOCKED_S3_URI = "s3://mocked_s3_uri_from_source_dir"
 MOCKED_PIPELINE_CONFIG = _PipelineConfig(
-    "test-pipeline", "test-training-step", "code-hash-0123456789", "config-hash-0123456789"
+    "test-pipeline",
+    "test-training-step",
+    "code-hash-0123456789",
+    "config-hash-0123456789",
 )
 
 
@@ -247,7 +257,9 @@ def pipeline_session():
     session_mock.resource.return_value = resource_mock
     session_mock.client.return_value = client_mock
     return PipelineSession(
-        boto_session=session_mock, sagemaker_client=client_mock, default_bucket=BUCKET_NAME
+        boto_session=session_mock,
+        sagemaker_client=client_mock,
+        default_bucket=BUCKET_NAME,
     )
 
 
@@ -322,7 +334,11 @@ def test_framework_all_init_args(sagemaker_session):
         },
         "metric_definitions": [{"Name": "validation-rmse", "Regex": "validation-rmse=(\\d+)"}],
         "encrypt_inter_container_traffic": True,
-        "environment": {"env_key1": "env_val1", "env_key2": "env_val2", "env_key3": "env_val3"},
+        "environment": {
+            "env_key1": "env_val1",
+            "env_key2": "env_val2",
+            "env_key3": "env_val3",
+        },
         "experiment_config": None,
         "checkpoint_s3_uri": "s3://bucket/checkpoint",
         "checkpoint_local_path": "file://local/checkpoint",
@@ -379,7 +395,8 @@ def test_framework_with_debugger_and_built_in_rule(sagemaker_session):
         rule_parameters={"threshold": "120", "stop_training_on_fire": "True"},
         collections_to_save=[
             CollectionConfig(
-                name="losses", parameters={"train.save_interval": "50", "eval.save_interval": "10"}
+                name="losses",
+                parameters={"train.save_interval": "50", "eval.save_interval": "10"},
             )
         ],
     )
@@ -405,18 +422,23 @@ def test_framework_with_debugger_and_built_in_rule(sagemaker_session):
         "CollectionConfigurations": [
             {
                 "CollectionName": "losses",
-                "CollectionParameters": {"train.save_interval": "50", "eval.save_interval": "10"},
+                "CollectionParameters": {
+                    "train.save_interval": "50",
+                    "eval.save_interval": "10",
+                },
             }
         ],
     }
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
     }
 
 
 def test_framework_with_debugger_and_custom_rule(sagemaker_session):
     hook_config = DebuggerHookConfig(
-        s3_output_path="s3://output", collection_configs=[CollectionConfig(name="weights")]
+        s3_output_path="s3://output",
+        collection_configs=[CollectionConfig(name="weights")],
     )
     debugger_custom_rule = Rule.custom(
         name="CustomRule",
@@ -536,7 +558,8 @@ def test_framework_with_debugger_rule_and_multiple_actions(sagemaker_session):
 
 def test_framework_with_only_debugger_hook_config(sagemaker_session):
     hook_config = DebuggerHookConfig(
-        s3_output_path="s3://output", collection_configs=[CollectionConfig(name="weights")]
+        s3_output_path="s3://output",
+        collection_configs=[CollectionConfig(name="weights")],
     )
     f = DummyFramework(
         entry_point=SCRIPT_PATH,
@@ -574,15 +597,9 @@ def test_framework_without_debugger_and_profiler(time, sagemaker_session):
     }
     assert "debugger_rule_configs" not in args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
     }
-    assert args["profiler_rule_configs"] == [
-        {
-            "RuleConfigurationName": "ProfilerReport-1510006209",
-            "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-        }
-    ]
 
 
 def test_framework_with_debugger_and_profiler_rules(sagemaker_session):
@@ -591,7 +608,8 @@ def test_framework_with_debugger_and_profiler_rules(sagemaker_session):
         rule_parameters={"threshold": "120", "stop_training_on_fire": "True"},
         collections_to_save=[
             CollectionConfig(
-                name="losses", parameters={"train.save_interval": "50", "eval.save_interval": "10"}
+                name="losses",
+                parameters={"train.save_interval": "50", "eval.save_interval": "10"},
             )
         ],
     )
@@ -639,18 +657,25 @@ def test_framework_with_debugger_and_profiler_rules(sagemaker_session):
         "CollectionConfigurations": [
             {
                 "CollectionName": "losses",
-                "CollectionParameters": {"train.save_interval": "50", "eval.save_interval": "10"},
+                "CollectionParameters": {
+                    "train.save_interval": "50",
+                    "eval.save_interval": "10",
+                },
             }
         ],
     }
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
     }
     assert args["profiler_rule_configs"] == [
         {
             "RuleConfigurationName": "CustomProfilerReportRule",
             "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport", "CPUBottleneck_threshold": "90"},
+            "RuleParameters": {
+                "rule_to_invoke": "ProfilerReport",
+                "CPUBottleneck_threshold": "90",
+            },
         },
         {
             "InstanceType": "c4.4xlarge",
@@ -679,6 +704,7 @@ def test_framework_with_only_profiler_rule_specified(sagemaker_session):
     sagemaker_session.train.assert_called_once()
     _, args = sagemaker_session.train.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
     }
     assert args["profiler_rule_configs"] == [
@@ -711,16 +737,10 @@ def test_framework_with_profiler_config_without_s3_output_path(time, sagemaker_s
     sagemaker_session.train.assert_called_once()
     _, args = sagemaker_session.train.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         "ProfilingIntervalInMilliseconds": 1000,
     }
-    assert args["profiler_rule_configs"] == [
-        {
-            "RuleConfigurationName": "ProfilerReport-1510006209",
-            "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-        }
-    ]
 
 
 @pytest.mark.parametrize("region", PROFILER_UNSUPPORTED_REGIONS)
@@ -745,7 +765,9 @@ def test_framework_with_no_default_profiler_in_unsupported_region(region):
     f.fit("s3://mydata")
     sms.train.assert_called_once()
     _, args = sms.train.call_args
-    assert args.get("profiler_config") is None
+    # assert args.get("profiler_config") == {"DisableProfiler": True}
+    # temporarily check if "DisableProfiler" flag is true until s3_output is changed to optional in service
+    assert args.get("profiler_config")["DisableProfiler"] is True
     assert args.get("profiler_rule_configs") is None
 
 
@@ -865,7 +887,10 @@ def test_framework_with_profiler_config_and_profiler_disabled(sagemaker_session)
             disable_profiler=True,
         )
         f.fit("s3://mydata")
-    assert "profiler_config cannot be set when disable_profiler is True." in str(error)
+    # assert "profiler_config cannot be set when disable_profiler is True." in str(error)
+    assert "profiler_config.disable_profiler cannot be False when disable_profiler is True." in str(
+        error
+    )
 
 
 def test_framework_with_profiler_rule_and_profiler_disabled(sagemaker_session):
@@ -927,15 +952,9 @@ def test_framework_with_enabling_default_profiling(
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
     }
-    assert args["profiler_rule_configs"] == [
-        {
-            "RuleConfigurationName": "ProfilerReport-1510006209",
-            "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-        }
-    ]
 
 
 @patch("time.time", return_value=TIME)
@@ -960,15 +979,9 @@ def test_framework_with_enabling_default_profiling_with_existed_s3_output_path(
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "S3OutputPath": "s3://custom/",
     }
-    assert args["profiler_rule_configs"] == [
-        {
-            "RuleConfigurationName": "ProfilerReport-1510006209",
-            "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-        }
-    ]
 
 
 def test_framework_with_disabling_profiling_when_profiler_is_already_disabled(
@@ -1001,7 +1014,9 @@ def test_framework_with_disabling_profiling(sagemaker_session, training_job_desc
     f.disable_profiling()
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
-    assert args["profiler_config"] == {"DisableProfiler": True}
+    # assert args["profiler_config"] == {"DisableProfiler": True}
+    # temporarily check if "DisableProfiler" flag is true until s3_output is changed to optional in service
+    assert args.get("profiler_config")["DisableProfiler"] is True
 
 
 def test_framework_with_update_profiler_when_no_training_job(sagemaker_session):
@@ -1058,6 +1073,7 @@ def test_framework_with_update_profiler_config(sagemaker_session):
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "ProfilingIntervalInMilliseconds": 1000,
     }
     assert "profiler_rule_configs" not in args
@@ -1086,7 +1102,7 @@ def test_framework_with_update_profiler_report_rule(sagemaker_session):
             "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
         }
     ]
-    assert "profiler_config" not in args
+    assert args["profiler_config"]["DisableProfiler"] is False
 
 
 def test_framework_with_disable_framework_metrics(sagemaker_session):
@@ -1101,11 +1117,16 @@ def test_framework_with_disable_framework_metrics(sagemaker_session):
     f.update_profiler(disable_framework_metrics=True)
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
-    assert args["profiler_config"] == {"ProfilingParameters": {}}
+    assert args["profiler_config"] == {
+        "DisableProfiler": False,
+        "ProfilingParameters": {},
+    }
     assert "profiler_rule_configs" not in args
 
 
-def test_framework_with_disable_framework_metrics_and_update_system_metrics(sagemaker_session):
+def test_framework_with_disable_framework_metrics_and_update_system_metrics(
+    sagemaker_session,
+):
     f = DummyFramework(
         entry_point=SCRIPT_PATH,
         role=ROLE,
@@ -1118,13 +1139,16 @@ def test_framework_with_disable_framework_metrics_and_update_system_metrics(sage
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
     assert args["profiler_config"] == {
+        "DisableProfiler": False,
         "ProfilingIntervalInMilliseconds": 1000,
         "ProfilingParameters": {},
     }
     assert "profiler_rule_configs" not in args
 
 
-def test_framework_with_disable_framework_metrics_and_update_framework_params(sagemaker_session):
+def test_framework_with_disable_framework_metrics_and_update_framework_params(
+    sagemaker_session,
+):
     with pytest.raises(ValueError) as error:
         f = DummyFramework(
             entry_point=SCRIPT_PATH,
@@ -1160,7 +1184,10 @@ def test_framework_with_update_profiler_config_and_profiler_rule(sagemaker_sessi
     f.update_profiler(rules=[profiler_custom_rule], system_monitor_interval_millis=1000)
     sagemaker_session.update_training_job.assert_called_once()
     _, args = sagemaker_session.update_training_job.call_args
-    assert args["profiler_config"] == {"ProfilingIntervalInMilliseconds": 1000}
+    assert args["profiler_config"] == {
+        "DisableProfiler": False,
+        "ProfilingIntervalInMilliseconds": 1000,
+    }
     assert args["profiler_rule_configs"] == [
         {
             "InstanceType": "c4.4xlarge",
@@ -1659,7 +1686,10 @@ def test_start_new_wait_called(strftime, sagemaker_session):
 
 
 def test_attach_framework(sagemaker_session, training_job_description):
-    training_job_description["VpcConfig"] = {"Subnets": ["foo"], "SecurityGroupIds": ["bar"]}
+    training_job_description["VpcConfig"] = {
+        "Subnets": ["foo"],
+        "SecurityGroupIds": ["bar"],
+    }
     training_job_description["EnableNetworkIsolation"] = True
 
     framework_estimator = DummyFramework.attach(
@@ -1753,7 +1783,8 @@ def test_attach_framework_with_inter_container_traffic_encryption_flag(
 def test_attach_framework_base_from_generated_name(sagemaker_session, training_job_description):
     base_job_name = "neo"
     framework_estimator = DummyFramework.attach(
-        training_job_name=utils.name_from_base("neo"), sagemaker_session=sagemaker_session
+        training_job_name=utils.name_from_base("neo"),
+        sagemaker_session=sagemaker_session,
     )
 
     assert framework_estimator.base_job_name == base_job_name
@@ -1948,7 +1979,8 @@ def test_git_support_bad_repo_url_format(sagemaker_session):
 @patch(
     "sagemaker.git_utils.git_clone_repo",
     side_effect=subprocess.CalledProcessError(
-        returncode=1, cmd="git clone https://github.com/aws/no-such-repo.git /tmp/repo_dir"
+        returncode=1,
+        cmd="git clone https://github.com/aws/no-such-repo.git /tmp/repo_dir",
     ),
 )
 def test_git_support_git_clone_fail(git_clone_repo, sagemaker_session):
@@ -1973,7 +2005,11 @@ def test_git_support_git_clone_fail(git_clone_repo, sagemaker_session):
     ),
 )
 def test_git_support_branch_not_exist(git_clone_repo, sagemaker_session):
-    git_config = {"repo": GIT_REPO, "branch": "branch-that-does-not-exist", "commit": COMMIT}
+    git_config = {
+        "repo": GIT_REPO,
+        "branch": "branch-that-does-not-exist",
+        "commit": COMMIT,
+    }
     fw = DummyFramework(
         entry_point="entry_point",
         git_config=git_config,
@@ -1994,7 +2030,11 @@ def test_git_support_branch_not_exist(git_clone_repo, sagemaker_session):
     ),
 )
 def test_git_support_commit_not_exist(git_clone_repo, sagemaker_session):
-    git_config = {"repo": GIT_REPO, "branch": BRANCH, "commit": "commit-sha-that-does-not-exist"}
+    git_config = {
+        "repo": GIT_REPO,
+        "branch": BRANCH,
+        "commit": "commit-sha-that-does-not-exist",
+    }
     fw = DummyFramework(
         entry_point="entry_point",
         git_config=git_config,
@@ -2137,7 +2177,11 @@ def test_git_support_with_token_2fa(git_clone_repo, sagemaker_session):
     },
 )
 def test_git_support_ssh_no_passphrase_needed(git_clone_repo, sagemaker_session):
-    git_config = {"repo": PRIVATE_GIT_REPO_SSH, "branch": PRIVATE_BRANCH, "commit": PRIVATE_COMMIT}
+    git_config = {
+        "repo": PRIVATE_GIT_REPO_SSH,
+        "branch": PRIVATE_BRANCH,
+        "commit": PRIVATE_COMMIT,
+    }
     entry_point = "entry_point"
     fw = DummyFramework(
         entry_point=entry_point,
@@ -2159,7 +2203,11 @@ def test_git_support_ssh_no_passphrase_needed(git_clone_repo, sagemaker_session)
     ),
 )
 def test_git_support_ssh_passphrase_required(git_clone_repo, sagemaker_session):
-    git_config = {"repo": PRIVATE_GIT_REPO_SSH, "branch": PRIVATE_BRANCH, "commit": PRIVATE_COMMIT}
+    git_config = {
+        "repo": PRIVATE_GIT_REPO_SSH,
+        "branch": PRIVATE_BRANCH,
+        "commit": PRIVATE_COMMIT,
+    }
     entry_point = "entry_point"
     fw = DummyFramework(
         entry_point=entry_point,
@@ -2457,7 +2505,9 @@ def test_estimator_transformer_creation_with_optional_params(create_model, sagem
     )
 
     create_model.assert_called_with(
-        vpc_config_override=new_vpc_config, model_kms_key=kms_key, enable_network_isolation=True
+        vpc_config_override=new_vpc_config,
+        model_kms_key=kms_key,
+        enable_network_isolation=True,
     )
 
     assert transformer.strategy == strategy
@@ -2635,14 +2685,7 @@ def test_unsupported_type_in_dict():
     "input_config": None,
     "input_mode": "File",
     "output_config": {"S3OutputPath": OUTPUT_PATH},
-    "profiler_config": {"S3OutputPath": OUTPUT_PATH},
-    "profiler_rule_configs": [
-        {
-            "RuleConfigurationName": "ProfilerReport-1510006209",
-            "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-            "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-        }
-    ],
+    "profiler_config": {"DisableProfiler": False, "S3OutputPath": OUTPUT_PATH},
     "resource_config": {
         "InstanceCount": INSTANCE_COUNT,
         "InstanceType": INSTANCE_TYPE,
@@ -2749,7 +2792,11 @@ def test_fit_deploy_tags_in_estimator(name_from_base, sagemaker_session):
 @patch("sagemaker.estimator.name_from_base")
 def test_fit_deploy_tags(name_from_base, sagemaker_session):
     estimator = Estimator(
-        IMAGE_URI, ROLE, INSTANCE_COUNT, INSTANCE_TYPE, sagemaker_session=sagemaker_session
+        IMAGE_URI,
+        ROLE,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        sagemaker_session=sagemaker_session,
     )
 
     estimator.fit()
@@ -3197,7 +3244,10 @@ def test_generic_training_job_analytics(sagemaker_session):
                 "TrainingInputMode": "File",
                 "MetricDefinitions": [
                     {"Name": "train:loss", "Regex": "train_loss=([0-9]+\\.[0-9]+)"},
-                    {"Name": "validation:loss", "Regex": "valid_loss=([0-9]+\\.[0-9]+)"},
+                    {
+                        "Name": "validation:loss",
+                        "Regex": "valid_loss=([0-9]+\\.[0-9]+)",
+                    },
                 ],
             },
         },
@@ -3228,7 +3278,11 @@ def test_generic_create_model_vpc_config_override(sagemaker_session):
     vpc_config_b = {"Subnets": ["foo", "bar"], "SecurityGroupIds": ["baz"]}
 
     e = Estimator(
-        IMAGE_URI, ROLE, INSTANCE_COUNT, INSTANCE_TYPE, sagemaker_session=sagemaker_session
+        IMAGE_URI,
+        ROLE,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        sagemaker_session=sagemaker_session,
     )
     e.fit({"train": "s3://bucket/training-prefix"})
     assert e.get_vpc_config() is None
@@ -3254,7 +3308,11 @@ def test_generic_deploy_vpc_config_override(sagemaker_session):
     vpc_config_b = {"Subnets": ["foo", "bar"], "SecurityGroupIds": ["baz"]}
 
     e = Estimator(
-        IMAGE_URI, ROLE, INSTANCE_COUNT, INSTANCE_TYPE, sagemaker_session=sagemaker_session
+        IMAGE_URI,
+        ROLE,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        sagemaker_session=sagemaker_session,
     )
     e.fit({"train": "s3://bucket/training-prefix"})
     e.deploy(INSTANCE_COUNT, INSTANCE_TYPE)
@@ -3274,7 +3332,11 @@ def test_generic_deploy_vpc_config_override(sagemaker_session):
 
 def test_generic_deploy_accelerator_type(sagemaker_session):
     e = Estimator(
-        IMAGE_URI, ROLE, INSTANCE_COUNT, INSTANCE_TYPE, sagemaker_session=sagemaker_session
+        IMAGE_URI,
+        ROLE,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        sagemaker_session=sagemaker_session,
     )
     e.fit({"train": "s3://bucket/training-prefix"})
     e.deploy(INSTANCE_COUNT, INSTANCE_TYPE, accelerator_type=ACCELERATOR_TYPE)
@@ -3617,7 +3679,13 @@ def test_file_output_path_not_supported_outside_local_mode(session_class):
     session_class.return_value = session
 
     with pytest.raises(RuntimeError):
-        Estimator(IMAGE_URI, ROLE, INSTANCE_COUNT, INSTANCE_TYPE, output_path="file:///tmp/model")
+        Estimator(
+            IMAGE_URI,
+            ROLE,
+            INSTANCE_COUNT,
+            INSTANCE_TYPE,
+            output_path="file:///tmp/model",
+        )
 
 
 def test_prepare_init_params_from_job_description_with_image_training_job():
@@ -3726,7 +3794,10 @@ def test_prepare_for_training_with_name_based_on_image(sagemaker_session):
 
 
 @patch("sagemaker.algorithm.AlgorithmEstimator.validate_train_spec", Mock())
-@patch("sagemaker.algorithm.AlgorithmEstimator._parse_hyperparameters", Mock(return_value={}))
+@patch(
+    "sagemaker.algorithm.AlgorithmEstimator._parse_hyperparameters",
+    Mock(return_value={}),
+)
 def test_prepare_for_training_with_name_based_on_algorithm(sagemaker_session):
     estimator = AlgorithmEstimator(
         algorithm_arn="arn:aws:sagemaker:us-west-2:1234:algorithm/scikit-decision-trees-1542410022",
@@ -3741,7 +3812,9 @@ def test_prepare_for_training_with_name_based_on_algorithm(sagemaker_session):
 
 
 @patch("sagemaker.workflow.utilities._pipeline_config", MOCKED_PIPELINE_CONFIG)
-def test_prepare_for_training_with_pipeline_name_in_s3_path_no_source_dir(pipeline_session):
+def test_prepare_for_training_with_pipeline_name_in_s3_path_no_source_dir(
+    pipeline_session,
+):
     # script_uri is NOT provided -> use new cache key behavior that builds path using pipeline name + code_hash
     image_uri = "763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:1.9.0-gpu-py38"
     model_uri = "s3://someprefix2/models/model.tar.gz"
@@ -4211,7 +4284,10 @@ def test_script_mode_estimator_tags_jumpstart_models_with_no_estimator_js_tags(
 @patch("sagemaker.model.Model._upload_code")
 @patch("sagemaker.utils.repack_model")
 def test_all_framework_estimators_add_jumpstart_tags(
-    patched_repack_model, patched_upload_code, patched_tar_and_upload_dir, sagemaker_session
+    patched_repack_model,
+    patched_upload_code,
+    patched_tar_and_upload_dir,
+    sagemaker_session,
 ):
 
     sagemaker_session.boto_region_name = REGION
@@ -4240,13 +4316,20 @@ def test_all_framework_estimators_add_jumpstart_tags(
             "transformers_version": "4.6.1",
             "instance_type": "ml.p2.xlarge",
         },
-        MXNet: {"framework_version": "1.7.0", "py_version": "py3", "instance_type": "ml.p2.xlarge"},
+        MXNet: {
+            "framework_version": "1.7.0",
+            "py_version": "py3",
+            "instance_type": "ml.p2.xlarge",
+        },
         SKLearn: {"framework_version": "0.23-1", "instance_type": "ml.m2.xlarge"},
         XGBoost: {"framework_version": "1.3-1", "instance_type": "ml.m2.xlarge"},
     }
     jumpstart_model_uri = f"s3://{list(JUMPSTART_BUCKET_NAME_SET)[0]}/model_dirs/model.tar.gz"
     jumpstart_model_uri_2 = f"s3://{list(JUMPSTART_BUCKET_NAME_SET)[1]}/model_dirs/model.tar.gz"
-    for framework_estimator_class, kwargs in framework_estimator_classes_to_kwargs.items():
+    for (
+        framework_estimator_class,
+        kwargs,
+    ) in framework_estimator_classes_to_kwargs.items():
         estimator = framework_estimator_class(
             entry_point=ENTRY_POINT,
             role=ROLE,
@@ -4362,7 +4445,10 @@ def test_script_mode_estimator_uses_jumpstart_base_name_with_js_models(
 @patch("sagemaker.model.Model._upload_code")
 @patch("sagemaker.utils.repack_model")
 def test_all_framework_estimators_add_jumpstart_base_name(
-    patched_repack_model, patched_upload_code, patched_tar_and_upload_dir, sagemaker_session
+    patched_repack_model,
+    patched_upload_code,
+    patched_tar_and_upload_dir,
+    sagemaker_session,
 ):
 
     sagemaker_session.boto_region_name = REGION
@@ -4391,13 +4477,20 @@ def test_all_framework_estimators_add_jumpstart_base_name(
             "transformers_version": "4.6.1",
             "instance_type": "ml.p2.xlarge",
         },
-        MXNet: {"framework_version": "1.7.0", "py_version": "py3", "instance_type": "ml.p2.xlarge"},
+        MXNet: {
+            "framework_version": "1.7.0",
+            "py_version": "py3",
+            "instance_type": "ml.p2.xlarge",
+        },
         SKLearn: {"framework_version": "0.23-1", "instance_type": "ml.m2.xlarge"},
         XGBoost: {"framework_version": "1.3-1", "instance_type": "ml.m2.xlarge"},
     }
     jumpstart_model_uri = f"s3://{list(JUMPSTART_BUCKET_NAME_SET)[0]}/model_dirs/model.tar.gz"
     jumpstart_model_uri_2 = f"s3://{list(JUMPSTART_BUCKET_NAME_SET)[1]}/model_dirs/model.tar.gz"
-    for framework_estimator_class, kwargs in framework_estimator_classes_to_kwargs.items():
+    for (
+        framework_estimator_class,
+        kwargs,
+    ) in framework_estimator_classes_to_kwargs.items():
         estimator = framework_estimator_class(
             entry_point=ENTRY_POINT,
             role=ROLE,
diff --git a/tests/unit/test_mxnet.py b/tests/unit/test_mxnet.py
index 9ba3e17ff3..f12d8e160f 100644
--- a/tests/unit/test_mxnet.py
+++ b/tests/unit/test_mxnet.py
@@ -160,14 +160,8 @@ def _get_train_args(job_name):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:1.4.0-cpu-py3",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/test_pytorch.py b/tests/unit/test_pytorch.py
index c8aad13774..5691834c3a 100644
--- a/tests/unit/test_pytorch.py
+++ b/tests/unit/test_pytorch.py
@@ -158,14 +158,8 @@ def _create_train_job(version, py_version):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/test_rl.py b/tests/unit/test_rl.py
index 2035636e76..0c0a9c6d64 100644
--- a/tests/unit/test_rl.py
+++ b/tests/unit/test_rl.py
@@ -153,14 +153,8 @@ def _create_train_job(toolkit, toolkit_version, framework):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
         "retry_strategy": None,
diff --git a/tests/unit/test_sklearn.py b/tests/unit/test_sklearn.py
index c3e984e0b7..430cb484b4 100644
--- a/tests/unit/test_sklearn.py
+++ b/tests/unit/test_sklearn.py
@@ -140,14 +140,8 @@ def _create_train_job(version):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }
diff --git a/tests/unit/test_xgboost.py b/tests/unit/test_xgboost.py
index d58c4992cd..87a853d5d0 100644
--- a/tests/unit/test_xgboost.py
+++ b/tests/unit/test_xgboost.py
@@ -154,14 +154,8 @@ def _create_train_job(version, instance_count=1, instance_type="ml.c4.4xlarge"):
             "CollectionConfigurations": [],
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
-        "profiler_rule_configs": [
-            {
-                "RuleConfigurationName": "ProfilerReport-1510006209",
-                "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
-                "RuleParameters": {"rule_to_invoke": "ProfilerReport"},
-            }
-        ],
         "profiler_config": {
+            "DisableProfiler": False,
             "S3OutputPath": "s3://{}/".format(BUCKET_NAME),
         },
     }