- A
Use AWS Lambda to manually update the Data Catalog
Why wrong: Manual approach is not automatic and requires custom code.
- B
Enable Amazon S3 event notifications for schema changes
Why wrong: S3 events do not update the Data Catalog automatically.
- C
Enable AWS Glue Data Catalog schema auto-update
Why wrong: There is no such direct setting; crawlers handle schema updates.
- D
Use AWS Glue crawlers to update the Data Catalog
Crawlers automatically discover schemas and update the Data Catalog.
Question 330 of 1,000
mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A company uses AWS Glue ETL jobs to process data…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses AWS Glue ETL jobs to process data from multiple sources and store it in a centralized S3 data lake for ML. They want to ensure that schema changes in source tables are automatically updated in the Glue Data Catalog without manual intervention. Which feature should they enable?
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 AWS Glue crawlers to update the Data Catalog
Option D is correct because AWS Glue crawlers can be configured to automatically detect and apply schema changes from source data stores to the Glue Data Catalog. When a crawler runs, it infers the schema of the data and updates the catalog tables accordingly, enabling schema evolution without manual intervention. This directly addresses the requirement for automatic updates when source table schemas change.
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.
- ✗
Use AWS Lambda to manually update the Data Catalog
Why it's wrong here
Manual approach is not automatic and requires custom code.
- ✗
Enable Amazon S3 event notifications for schema changes
Why it's wrong here
S3 events do not update the Data Catalog automatically.
- ✗
Enable AWS Glue Data Catalog schema auto-update
Why it's wrong here
There is no such direct setting; crawlers handle schema updates.
- ✓
Use AWS Glue crawlers to update the Data Catalog
Why this is correct
Crawlers automatically discover schemas and update the Data Catalog.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse the Glue Data Catalog's 'schema auto-update' with a non-existent feature, or assume that S3 event notifications can directly trigger catalog updates, when in fact only Glue crawlers provide the automated schema detection and update capability required for this use case.
Detailed technical explanation
How to think about this question
AWS Glue crawlers use classifiers to infer the schema of data in various formats (e.g., Parquet, Avro, JSON) and can update the Data Catalog with new partitions, columns, or data types. Under the hood, crawlers compare the current schema in the catalog with the schema of the data in the source location and apply changes based on the configured 'UpdateBehavior' (e.g., 'UPDATE_IN_DATABASE' or 'LOG'). In real-world scenarios, this is critical for streaming or batch pipelines where source schemas evolve frequently, such as adding new columns in a CSV file or changing data types in a Parquet dataset.
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.
TExam Day Tips
- 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.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Use AWS Glue crawlers to update the Data Catalog — Option D is correct because AWS Glue crawlers can be configured to automatically detect and apply schema changes from source data stores to the Glue Data Catalog. When a crawler runs, it infers the schema of the data and updates the catalog tables accordingly, enabling schema evolution without manual intervention. This directly addresses the requirement for automatic updates when source table schemas change.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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