- A
The S3 bucket is not registered with Lake Formation
If the bucket is not registered, Lake Formation cannot control access, and the default S3 permissions apply, which may deny access.
- B
The S3 bucket is encrypted with a KMS key that the analyst does not have access to
Why wrong: KMS permissions might cause an error, but it would be a different error message.
- C
The table does not have any partitions defined
Why wrong: Lack of partitions would cause a query to scan all data, but not an Access Denied error.
- D
The IAM role used by Athena does not have lakeformation:GetDataAccess permission
Why wrong: This is a possible cause, but typically Lake Formation automatically grants this via the registered bucket.
MLS-C01 Data Engineering Practice Question
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 uses AWS Lake Formation to manage permissions on a data lake stored in Amazon S3. A data analyst tries to query a table using Amazon Athena but receives an 'Access Denied' error. The analyst has SELECT permission on the table in Lake Formation. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The S3 bucket is not registered with Lake Formation
When Lake Formation manages permissions on a data lake, it requires that the underlying S3 bucket be registered with Lake Formation. If the bucket is not registered, Lake Formation cannot enforce its fine-grained access controls, and Athena will fail with an 'Access Denied' error even if the analyst has SELECT permission on the table in Lake Formation. Registering the bucket allows Lake Formation to integrate with S3 and apply its permission model.
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.
- ✓
The S3 bucket is not registered with Lake Formation
Why this is correct
If the bucket is not registered, Lake Formation cannot control access, and the default S3 permissions apply, which may deny access.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The S3 bucket is encrypted with a KMS key that the analyst does not have access to
Why it's wrong here
KMS permissions might cause an error, but it would be a different error message.
- ✗
The table does not have any partitions defined
Why it's wrong here
Lack of partitions would cause a query to scan all data, but not an Access Denied error.
- ✗
The IAM role used by Athena does not have lakeformation:GetDataAccess permission
Why it's wrong here
This is a possible cause, but typically Lake Formation automatically grants this via the registered bucket.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume 'Access Denied' errors are always due to missing IAM permissions or encryption issues, but in Lake Formation, the most common root cause is the S3 bucket not being registered, which prevents Lake Formation from enforcing its permissions.
Detailed technical explanation
How to think about this question
Lake Formation uses a 'register path' operation to link an S3 bucket to its resource catalog, enabling it to manage permissions via its Data Catalog and IAM policies. When a bucket is not registered, Lake Formation cannot intercept S3 requests, so Athena's queries fail with an access denied error even if the user has table-level SELECT permissions. In practice, this is a common misconfiguration when setting up a new data lake, as the registration step is often overlooked.
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.
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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: The S3 bucket is not registered with Lake Formation — When Lake Formation manages permissions on a data lake, it requires that the underlying S3 bucket be registered with Lake Formation. If the bucket is not registered, Lake Formation cannot enforce its fine-grained access controls, and Athena will fail with an 'Access Denied' error even if the analyst has SELECT permission on the table in Lake Formation. Registering the bucket allows Lake Formation to integrate with S3 and apply its permission model.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
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