- A
s3:PutObject
Why wrong: PutObject is for writing, not reading.
- B
s3:DeleteObject
Why wrong: DeleteObject is not needed.
- C
s3:GetObject
GetObject allows Rekognition to read images.
- D
s3:ListBucket
Why wrong: ListBucket is for listing objects, not reading.
Question 1,689 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 wants to use Amazon Rekognition to detect objects in images stored in an S3 bucket. The images are uploaded by users. Which IAM policy statement is necessary to allow Rekognition to read from the bucket?
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
✓
s3:GetObject
Amazon Rekognition needs to read the image files from the S3 bucket to perform object detection. The s3:GetObject permission grants read access to the objects stored in the bucket, which is the minimum required action for Rekognition to retrieve and analyze the images.
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.
- ✗
s3:PutObject
Why it's wrong here
PutObject is for writing, not reading.
- ✗
s3:DeleteObject
Why it's wrong here
DeleteObject is not needed.
- ✓
s3:GetObject
Why this is correct
GetObject allows Rekognition to read images.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
s3:ListBucket
Why it's wrong here
ListBucket is for listing objects, not reading.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse s3:ListBucket with read access, but listing only returns object keys, not the actual data, so Rekognition cannot analyze the image without s3:GetObject.
Detailed technical explanation
How to think about this question
When Rekognition calls the DetectLabels or similar API, it sends an S3 object reference (bucket name and key) to the Rekognition service, which then internally issues an S3 GET request to retrieve the image bytes. This means the IAM policy must explicitly allow s3:GetObject on the specific bucket or objects; without it, Rekognition will receive an AccessDenied error even if the bucket policy allows public listing.
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?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: s3:GetObject — Amazon Rekognition needs to read the image files from the S3 bucket to perform object detection. The s3:GetObject permission grants read access to the objects stored in the bucket, which is the minimum required action for Rekognition to retrieve and analyze the images.
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.
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 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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