MLS-C01 Data Engineering Practice Question

Exhibit

Refer to the exhibit.

CloudFormation template snippet:

Resources:
  MyGlueJob:
    Type: AWS::Glue::Job
    Properties:
      Command:
        Name: glueetl
        ScriptLocation: s3://my-bucket/scripts/etl.py
        PythonVersion: "3"
      DefaultArguments:
        --TempDir: s3://my-bucket/temp/
        --job-bookmark-option: job-bookmark-enable
      ExecutionProperty:
        MaxConcurrentRuns: 1
      MaxRetries: 0
      Name: my-glue-job
      Role: arn:aws:iam::123456789012:role/GlueServiceRole

The Glue job my-glue-job fails after a few successful runs. The error log shows 'Job run exceeds max concurrent runs limit'. The CloudFormation template is shown in the exhibit. What change should be made to allow multiple runs to execute concurrently?

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

✓

Set the MaxConcurrentRuns property to 3

The 'MaxConcurrentRuns' is set to 1, which prevents parallel executions. Setting it to a higher value (e.g., 3) allows concurrent runs. MaxRetries is for retry count, not concurrency. Role and TempDir are not relevant.

Answer analysis

Option-by-option breakdown

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

✗
Change the IAM role to one with more permissions
Why it's wrong here
Permissions do not affect concurrency limits.
✗
Increase the MaxRetries property to 3
Why it's wrong here
MaxRetries controls how many times a failed job is retried, not concurrency.
✗
Remove the --job-bookmark-option argument
Why it's wrong here
Job bookmarks track state, not concurrency.
✓
Set the MaxConcurrentRuns property to 3
Why this is correct
This allows up to 3 concurrent job runs.

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MLS-C01 Data Engineering Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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