DEA-C01 Data Operations and Support Practice Question
Exhibit
Refer to the exhibit.
IAM Policy JSON:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject",
"s3:DeleteObject"
],
"Resource": "arn:aws:s3:::data-lake-bucket/*"
},
{
"Effect": "Allow",
"Action": [
"s3:ListBucket"
],
"Resource": "arn:aws:s3:::data-lake-bucket"
},
{
"Effect": "Allow",
"Action": [
"glue:StartJobRun"
],
"Resource": "*"
}
]
}A data engineer is troubleshooting an AWS Glue ETL job that fails intermittently. The job is triggered by an AWS Lambda function that uses the IAM policy shown. The Lambda function invokes the Glue job, but sometimes the job does not start. Which action should the engineer take to ensure the job starts reliably?
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
✓
Add the iam:PassRole permission for the IAM role used by the Glue job.
The Lambda function must have the `iam:PassRole` permission to pass the IAM role used by the AWS Glue job. Without this permission, the Glue job cannot assume the role required for execution, leading to intermittent failures when the job is invoked. Option A is incorrect because the resource `*` already allows starting the job, and the issue is not about resource restriction. Option B is incorrect because while S3 permissions may be necessary for the job's data access, they are not the cause of the job not starting. Option C is incorrect because batching job start requests does not address the underlying permission issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Replace the resource "*" in the Glue action with the specific Glue job ARN.
Why it's wrong here
The wildcard already allows starting any job; the issue is not resource restriction.
- ✗
Add s3:GetObject and s3:PutObject permissions for the Glue job's output bucket.
Why it's wrong here
The Lambda function only triggers the job; it does not directly access S3.
- ✗
Modify the Lambda function to batch multiple job start requests.
Why it's wrong here
Intermittent failures are not due to batching; rate limiting is unlikely.
- ✓
Add the iam:PassRole permission for the IAM role used by the Glue job.
Why this is correct
The Lambda function needs iam:PassRole to pass the Glue job role; missing this causes intermittent failures.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.