The answer is to use Amazon S3 Inventory to create a daily or weekly CSV or Parquet report of all object metadata, which can then be queried with Athena or SQL. This is correct because when you have millions of small objects, repeatedly calling the ListObjects API for prefix-based queries becomes extremely slow and expensive due to API rate limits and the sheer volume of requests. Instead, S3 Inventory provides a flat file you can query directly, bypassing the need for iterative API calls and drastically improving listing performance. On the AWS Certified Developer Associate DVA-C02 exam, this scenario tests your understanding of how to avoid ListObjects bottlenecks at scale—a common trap is to suggest parallelizing ListObjects calls, which still hits API limits, or using S3 Select, which only filters within a single object. The key insight is that S3 Inventory offloads the listing to an external query engine. Memory tip: “Inventory for infinity” — when you have infinite small objects, inventory the bucket instead of listing it.
DVA-C02 Troubleshooting and Optimization Practice Question
This DVA-C02 practice question tests your understanding of troubleshooting and optimization. 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 developer is optimizing an Amazon S3 bucket that stores millions of small objects. The application frequently lists objects with prefix-based queries. Which THREE strategies should the developer implement to improve performance?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon S3 Inventory to generate a daily list of objects and query that list.
Option A is correct because Amazon S3 Inventory provides a daily or weekly CSV/Parquet report listing all objects and their metadata. By querying this inventory file (e.g., with Athena or SQL), you avoid making thousands of individual ListObjects API calls, which is far more efficient for prefix-based queries on millions of small objects.
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 Amazon S3 Inventory to generate a daily list of objects and query that list.
Why this is correct
S3 Inventory provides a CSV/Parquet file of objects, avoiding List API calls.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use Amazon S3 Select or Amazon Athena to query objects instead of listing.
Why this is correct
Athena and S3 Select can retrieve data without listing all objects.
Related concept
Read the scenario before looking for a memorised answer.
✗
Move infrequently accessed objects to Amazon S3 Glacier Deep Archive.
Why it's wrong here
This reduces storage cost but does not improve list performance.
✗
Increase the TPS limit for ListObjects requests by requesting a quota increase.
Why it's wrong here
S3 ListObjects has a hard limit of 5,500 requests per second per prefix.
✓
Use AWS Glue to create a catalog of object metadata for faster querying.
Why this is correct
Glue Data Catalog enables SQL-like queries on object metadata.
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 might think increasing API rate limits (Option D) is possible, but AWS S3 does not allow requesting a higher ListObjects TPS limit; instead, you must use alternative strategies like S3 Inventory or partitioning.
Detailed technical explanation
How to think about this question
S3 ListObjects API calls are rate-limited to about 5,500 requests per second per prefix, but each call returns up to 1,000 keys, so listing millions of objects requires many sequential or parallel requests. S3 Inventory generates a flat file that can be queried with Athena using SQL, enabling fast prefix-based searches without hitting API rate limits. In real-world scenarios, this pattern is critical for data lakes with billions of objects where frequent listing would otherwise cause throttling or high latency.
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.
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.
Troubleshooting and Optimization — This question tests Troubleshooting and Optimization — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Amazon S3 Inventory to generate a daily list of objects and query that list. — Option A is correct because Amazon S3 Inventory provides a daily or weekly CSV/Parquet report listing all objects and their metadata. By querying this inventory file (e.g., with Athena or SQL), you avoid making thousands of individual ListObjects API calls, which is far more efficient for prefix-based queries on millions of small objects.
What should I do if I get this DVA-C02 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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Question Discussion
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