- A
Enable partition indexing on the Glue Data Catalog.
Partition indexing enables automatic updates and efficient querying of new partitions.
- B
Set up an S3 event notification to trigger a Lambda function that updates the Glue Data Catalog.
Why wrong: This is manual and not as scalable as scheduled crawling.
- C
Configure a scheduled AWS Glue crawler to run on a regular basis.
Scheduled crawlers automatically discover new data and update the catalog.
- D
Run Amazon Athena queries with MSCK REPAIR TABLE to add partitions.
Why wrong: MSCK REPAIR TABLE requires manual execution and is not automatic.
- E
Use AWS Glue ETL jobs to write data and update the catalog simultaneously.
Why wrong: ETL jobs do not automatically update the catalog for new partitions.
Question 1,213 of 1,786
Automatically Updating the AWS Glue Data Catalog When New Partitions Are Added to S3
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 in Amazon S3. The data is in CSV format with varying schemas. The Data Engineering team wants to ensure the Glue Data Catalog is updated automatically when new partitions are added to S3. Which TWO actions should be taken? (Choose two.)
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
✓
Enable partition indexing on the Glue Data Catalog.
A is correct because enabling partition indexing in the Glue Data Catalog allows partition pruning and automatic updates. C is correct because configuring a Glue crawler with a schedule will automatically discover new partitions. B is wrong because setting up an S3 event notification to trigger Lambda for manual updates is not as efficient as crawler scheduling. D is wrong because using AWS Glue ETL jobs to update the catalog is not automatic. E is wrong because Amazon Athena does not update the catalog.
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.
- ✓
Enable partition indexing on the Glue Data Catalog.
Why this is correct
Partition indexing enables automatic updates and efficient querying of new partitions.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set up an S3 event notification to trigger a Lambda function that updates the Glue Data Catalog.
Why it's wrong here
This is manual and not as scalable as scheduled crawling.
- ✓
Configure a scheduled AWS Glue crawler to run on a regular basis.
Why this is correct
Scheduled crawlers automatically discover new data and update the catalog.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Run Amazon Athena queries with MSCK REPAIR TABLE to add partitions.
Why it's wrong here
MSCK REPAIR TABLE requires manual execution and is not automatic.
- ✗
Use AWS Glue ETL jobs to write data and update the catalog simultaneously.
Why it's wrong here
ETL jobs do not automatically update the catalog for new partitions.
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.
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 DEA-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.
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Data Ingestion and Transformation — study guide chapter
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable partition indexing on the Glue Data Catalog. — A is correct because enabling partition indexing in the Glue Data Catalog allows partition pruning and automatic updates. C is correct because configuring a Glue crawler with a schedule will automatically discover new partitions. B is wrong because setting up an S3 event notification to trigger Lambda for manual updates is not as efficient as crawler scheduling. D is wrong because using AWS Glue ETL jobs to update the catalog is not automatic. E is wrong because Amazon Athena does not update the catalog.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using AWS Glue to catalog data in Amazon S3. The data is stored in CSV format, but the schema is not consistent across all files. Which TWO actions can the company take to handle schema evolution and ensure the Glue Data Catalog is up to date? (Choose TWO.)
easy- ✓ A.Configure the Glue crawler to update the table schema on each run.
- B.Manually update the Glue Data Catalog tables whenever the schema changes.
- C.Disable schema update in the crawler and add partitions manually.
- ✓ D.Schedule the Glue crawler to run periodically to detect changes.
- E.Require all data producers to use a single fixed schema.
Why A: Options A and D are correct. Configuring the Glue crawler to update the table schema on each run (A) allows automatic schema evolution, while scheduling the crawler to run periodically (D) ensures that changes in the data are captured. Option B (manual update) is not scalable. Option C (disabling schema update) would prevent automatic updates. Option E (fixed schema) is impractical for evolving data.
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Last reviewed: Jun 20, 2026
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.
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