DEA-C01 Data Store Management Practice Question
A data engineer is designing a data lake on Amazon S3. Which feature should be used to manage the lifecycle of objects and move them to cheaper storage classes automatically?
⚠ Common exam trap
A common mix-up: candidates confuse S3 Storage Class Analysis (which only recommends transitions) with S3 Lifecycle policies (which actually execute them), leading candidates to pick Option C thinking it automates the move.
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 Lifecycle policies
S3 Lifecycle policies are the correct feature for automatically managing object lifecycles and transitioning objects to cheaper storage classes (e.g., from S3 Standard to S3 Glacier Deep Archive) based on age or other rules. This directly meets the requirement to move objects to cost-optimized storage without manual intervention.
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 Lifecycle policies
Why this is correct
S3 Lifecycle policies define rules that transition objects to cheaper storage classes such as Standard-IA, Intelligent-Tiering or Glacier, and expire them, based on age or prefixes. This automates cost optimisation across the data lake without manual intervention.
- ✗
S3 Object Lock
Why it's wrong here
S3 Object Lock enforces WORM retention and legal holds, preventing deletion or overwrite; it never transitions objects between storage classes. It is tempting because both features are configured on buckets, but Object Lock suits regulatory immutability requirements, whereas lifecycle rules perform the automatic class transitions described.
- ✗
S3 Storage Class Analysis
Why it's wrong here
S3 Storage Class Analysis only generates reports recommending when to transition objects; it takes no action and moves nothing itself. It is tempting because it directly addresses storage-class optimisation, but it is the correct choice when you need data to design a lifecycle policy, not to execute the transitions.
- ✗
S3 Inventory
Why it's wrong here
S3 Inventory produces scheduled CSV or Parquet lists of objects and their metadata; it does not transition objects or change storage classes. It is tempting because it supports lifecycle planning by revealing object age and size, but it is the right tool for auditing bucket contents, not automating tiering.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.