To remediate the misconfiguration “Default Execution Endpoint Should Not Be Enabled” in AWS using AWS CLI, you can follow the below steps:

1. Open the AWS CLI on your local machine or on the EC2 instance.

2. Run the following command to disable the default execution endpoint:

   aws sagemaker update-notebook-instance --notebook-instance-name <instance-name> --default-code-repository none
   

   Replace <instance-name> with the name of the notebook instance that you want to update.

3. After running the above command, verify that the default execution endpoint is disabled by running the following command:

   aws sagemaker describe-notebook-instance --notebook-instance-name <instance-name> --query 'DefaultCodeRepository'
   

   If the output of the above command is null, then the default execution endpoint has been successfully disabled.

4. Repeat the above steps for all the notebook instances in your AWS account to remediate the misconfiguration “Default Execution Endpoint Should Not Be Enabled” in AWS.

To remediate the “Default Execution Endpoint Should Not Be Enabled” misconfiguration in AWS using Python, you can follow these steps:

1. Install the AWS SDK for Python (Boto3) using the following command:

pip install boto3

2. Create a Boto3 client for AWS Lambda:

import boto3

client = boto3.client('lambda')

3. Use the update_function_configuration() method to disable the default execution endpoint:

response = client.update_function_configuration(
    FunctionName='your-function-name',
    CodeSigningConfigArn='arn:aws:lambda:us-west-2:123456789012:code-signing-config:MyCodeSigningConfig',
    Description='Sample function',
    Environment={
        'Variables': {
            'KEY1': 'VALUE1',
            'KEY2': 'VALUE2',
        }
    },
    Handler='index.handler',
    Layers=[
        'arn:aws:lambda:us-west-2:123456789012:layer:my-layer:1',
    ],
    MemorySize=128,
    Role='arn:aws:iam::123456789012:role/service-role/lambda-role',
    Runtime='python3.8',
    Timeout=123,
    TracingConfig={
        'Mode': 'Active',
    },
    VpcConfig={
        'SubnetIds': [
            'subnet-1234abcd',
            'subnet-5678efgh',
        ],
        'SecurityGroupIds': [
            'sg-1234abcd',
        ]
    },
    **{'DefaultExecutionEndpoint': False}**
)

4. Replace the FunctionName parameter with the name of your Lambda function.

5. The DefaultExecutionEndpoint parameter is set to False to disable the default execution endpoint.

6. Once you have updated the function configuration, you can verify that the default execution endpoint has been disabled by checking the function configuration using the get_function_configuration() method:

response = client.get_function_configuration(
    FunctionName='your-function-name'
)

print(response['DefaultExecutionEndpoint'])

This will return False if the default execution endpoint has been disabled.