MLS-C01 Data Engineering Practice Question
Exhibit
Refer to the exhibit.
```yaml
Resources:
GlueJob:
Type: AWS::Glue::Job
Properties:
Command:
Name: glueetl
ScriptLocation: s3://my-bucket/scripts/etl.py
PythonVersion: 3
Role: arn:aws:iam::123456789012:role/GlueServiceRole
MaxRetries: 0
Timeout: 60
NumberOfWorkers: 10
WorkerType: G.1X
```A data engineer created a CloudFormation template for a Glue ETL job as shown. The job processes 500 GB of data and takes 90 minutes to complete. However, the job fails after 60 minutes. What is the MOST likely cause?
⚠ Common exam trap
It's easy for candidates to confuse the `Timeout` property with the `MaxRetries` property, assuming that a job failing after a specific duration must be due to a retry limit rather than a timeout limit, or they overlook the exact 60-minute failure point as a clear indicator of a timeout being reached.
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
✓
The Timeout property is set to 60 minutes, but the job requires more time.
The Glue ETL job has a `Timeout` property set to 60 minutes, but the job requires 90 minutes to complete. When the timeout is reached, AWS Glue forcibly terminates the job, causing it to fail. This is the most direct cause of the failure after exactly 60 minutes of execution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The IAM role does not have sufficient permissions.
Why it's wrong here
Permission issues would cause immediate failure, not after 60 minutes.
- ✗
The ScriptLocation S3 bucket is in a different region.
Why it's wrong here
If the bucket were in a different region, the job would fail immediately, not after 60 minutes.
- ✓
The Timeout property is set to 60 minutes, but the job requires more time.
Why this is correct
The job is killed when it exceeds the timeout, causing failure.
- ✗
The MaxRetries property is set to 0, so the job does not retry on failure.
Why it's wrong here
MaxRetries affects retry behavior, but the job fails due to timeout, not a transient error.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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