MLS-C01 Data Engineering Practice Question
A company uses AWS Glue to run ETL jobs. The data engineer wants to monitor job performance and troubleshoot failures. Which THREE AWS services or features should they use together? (Choose three.)
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
✓
AWS Glue job bookmarks
Correct options: A, D, E. AWS Glue job bookmarks track processed data to avoid reprocessing, Amazon CloudWatch Logs stores Glue job logs for troubleshooting failures, and Amazon CloudWatch metrics provide performance monitoring metrics. Option B (Amazon S3 Event Notifications) can trigger jobs but not monitor performance or troubleshoot. Option C (Amazon Athena) is used for querying data, not for monitoring Glue jobs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AWS Glue job bookmarks
Why this is correct
Job bookmarks track processed data and help identify failures.
- ✗
Amazon S3 Event Notifications
Why it's wrong here
S3 events can trigger Glue jobs but do not help monitor job performance.
- ✗
Amazon Athena
Why it's wrong here
Athena is an interactive query service, not a monitoring tool.
- ✓
Amazon CloudWatch Logs
Why this is correct
Glue jobs send logs to CloudWatch Logs for troubleshooting.
- ✓
Amazon CloudWatch metrics
Why this is correct
CloudWatch metrics provide job duration, DPU usage, and other performance data.
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 MLS-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 MLS-C01 exam.