- A
Increase the throughput of the crawler by configuring the 'Schema updates' option
Why wrong: Incorrect. The 'Schema updates' option controls how the crawler handles schema changes, not throughput.
- B
Enable partition indexing on the table to speed up the crawler
Why wrong: Incorrect. Partition indexing improves query performance (e.g., for Athena), not crawler speed.
- C
Decrease the crawler schedule frequency to every 2 hours to avoid overlapping runs
Why wrong: Incorrect. Decreasing the schedule frequency would increase the backlog and may worsen latency; it does not resolve overlapping runs.
- D
Use multiple crawlers, each configured to crawl a different path (e.g., one for year=2023, one for year=2024)
Correct. Using multiple crawlers configured to crawl different paths (e.g., by year) parallelizes the crawling work, reducing overall time and preventing overlaps.
- E
Increase the number of crawler instances by configuring the 'Crawler queue' to process multiple partitions in parallel
Why wrong: Incorrect. AWS Glue does not have a 'Crawler queue' feature to increase crawler instances. This is not a valid configuration option.
Speed Up AWS Glue Crawlers for Partitioned S3 Data
This MLS-C01 practice question tests your understanding of data engineering. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is using AWS Glue to catalog data stored in Amazon S3. The data is partitioned by year, month, day, and hour. The company runs hourly ETL jobs that add new partitions. The Glue crawler is scheduled to run every hour to update the Data Catalog. However, the crawler is taking longer than expected and is not completing before the next crawler run starts. Which THREE actions could the company take to resolve this issue?
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
Use multiple crawlers, each configured to crawl a different path (e.g., one for year=2023, one for year=2024)
Option D is correct: using multiple crawlers to crawl different paths allows parallel processing of partitions, reducing crawler time. Option E is incorrect because AWS Glue does not have a 'Crawler queue' feature to increase crawler instances; this is not a valid configuration. Options A, B, and C are also incorrect as they do not address the root cause of slow crawler performance. Note that the question asks for three actions, but only D is a valid action among the given options; other valid actions (e.g., increasing DPUs) are not listed.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the throughput of the crawler by configuring the 'Schema updates' option
Why it's wrong here
Incorrect. The 'Schema updates' option controls how the crawler handles schema changes, not throughput.
- ✗
Enable partition indexing on the table to speed up the crawler
Why it's wrong here
Incorrect. Partition indexing improves query performance (e.g., for Athena), not crawler speed.
- ✗
Decrease the crawler schedule frequency to every 2 hours to avoid overlapping runs
Why it's wrong here
Incorrect. Decreasing the schedule frequency would increase the backlog and may worsen latency; it does not resolve overlapping runs.
- ✓
Use multiple crawlers, each configured to crawl a different path (e.g., one for year=2023, one for year=2024)
Why this is correct
Correct. Using multiple crawlers configured to crawl different paths (e.g., by year) parallelizes the crawling work, reducing overall time and preventing overlaps.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the number of crawler instances by configuring the 'Crawler queue' to process multiple partitions in parallel
Why it's wrong here
Incorrect. AWS Glue does not have a 'Crawler queue' feature to increase crawler instances. This is not a valid configuration option.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Visual reference
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 |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use multiple crawlers, each configured to crawl a different path (e.g., one for year=2023, one for year=2024) — Option D is correct: using multiple crawlers to crawl different paths allows parallel processing of partitions, reducing crawler time. Option E is incorrect because AWS Glue does not have a 'Crawler queue' feature to increase crawler instances; this is not a valid configuration. Options A, B, and C are also incorrect as they do not address the root cause of slow crawler performance. Note that the question asks for three actions, but only D is a valid action among the given options; other valid actions (e.g., increasing DPUs) are not listed.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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