MLA-C01 Practice Question: Refer to the exhibit

Exhibit

2024-01-01 12:00:00 ERROR - Baseline configuration is missing for data quality monitoring. Unable to evaluate constraints.
2024-01-01 12:00:01 ERROR - Monitoring job failed.

Refer to the exhibit. A team receives an error when running a SageMaker Model Monitor schedule for data quality. What should they do to resolve this issue?

⚠ Common exam trap

Candidates often assume the error is a permissions or configuration issue (S3 access or data capture), but the root cause is the mandatory prerequisite of a baseline job before a monitoring schedule can run.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Create a baseline job using the training dataset

The error occurs because SageMaker Model Monitor requires a baseline to compare against live data. Without a baseline job created from the training dataset, the monitoring schedule fails. Option D resolves this by generating the necessary statistics and constraints that define expected data quality.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Update the IAM role to allow S3 access
Why it's wrong here
The error is about missing baseline, not permissions.
✗
Restart the monitoring schedule
Why it's wrong here
Restarting will encounter the same error.
✗
Enable data capture on the endpoint
Why it's wrong here
Data capture is needed for monitoring but does not provide the baseline.
✓
Create a baseline job using the training dataset
Why this is correct
A baseline must be generated from training data to compare inference data against.

Visual reference

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MLA-C01 Practice Question: Refer to the exhibit

Exhibit

Why each option matters

Option-by-option breakdown

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