DEA-C01 Data Store Management Practice Question
A startup is building a real-time analytics application using Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics. The application processes clickstream data from a website. The data is also stored in Amazon S3 for historical analysis. The company uses an S3 bucket with a lifecycle policy that transitions objects to Amazon S3 Glacier Deep Archive after 30 days. The data engineering team has configured a Kinesis Data Firehose delivery stream to write data to the S3 bucket. The team notices that the data in S3 is not being transitioned to Glacier Deep Archive after 30 days. The lifecycle policy is correctly configured and has been verified. What is the most likely cause of this issue?
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 lifecycle rule is configured with a filter that does not match the prefix used by Kinesis Data Firehose.
The most likely cause is that the S3 lifecycle rule has a filter that does not match the prefix used by Kinesis Data Firehose. Firehose writes objects with a specific prefix pattern (e.g., 'year/month/day/hour/...'), and if the lifecycle rule is configured with a different prefix filter, the rule will not apply to those objects. Option A is correct. Option B is incorrect because the minimum 90-day storage period for Glacier Deep Archive is a billing consideration, not a restriction on lifecycle transitions; objects can be transitioned after 30 days, but early deletion fees may apply. Option C is incorrect because S3 Intelligent-Tiering is not required for lifecycle transitions to Glacier Deep Archive; any S3 bucket can have lifecycle rules. Option D is incorrect because S3 Batch Operations are not involved in lifecycle transitions; they are used for bulk operations like copying or restoring objects.
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 lifecycle rule is configured with a filter that does not match the prefix used by Kinesis Data Firehose.
Why this is correct
Correct. If the lifecycle rule's filter (e.g., prefix, tags) does not match the prefix that Kinesis Data Firehose uses when writing objects, the rule will not be applied to those objects. Firehose typically writes objects with a date-based prefix, so ensure the rule filter matches that prefix.
- ✗
The Glacier Deep Archive storage class requires a minimum 90-day storage period, so the lifecycle policy cannot transition objects after 30 days.
Why it's wrong here
Incorrect. While Glacier Deep Archive has a minimum 90-day storage charge, lifecycle rules can still transition objects to that storage class after 30 days. Early deletion will incur a penalty, but the transition itself is allowed.
- ✗
The S3 bucket is not enabled for S3 Intelligent-Tiering, which is required for lifecycle transitions to Glacier Deep Archive.
Why it's wrong here
Incorrect. S3 Intelligent-Tiering is an optional storage class that automatically moves data between access tiers. It is not required for lifecycle transitions to Glacier Deep Archive.
- ✗
The S3 bucket does not have S3 Batch Operations enabled to invoke the lifecycle policy.
Why it's wrong here
Incorrect. S3 Batch Operations is a feature for performing large-scale batch actions on objects, such as copying or restoring. Lifecycle policies are automatically evaluated by S3 and do not require Batch Operations.
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 |
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Written by Johnson Ajibi, MSc IT Security
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