AWS Certified Data Engineer Associate DEA-C01 Practice Question
You manage an Amazon S3 data lake that stores 250 GB of IoT sensor files every day. Yesterday's data is queried heavily, but data older than 90 days is accessed only once a month for compliance audits that can tolerate up to 12 hours of retrieval time. The data must be kept for 7 years. Which approach minimizes storage cost while meeting these access requirements?
Move objects to S3 Glacier Instant Retrieval after 90 days and keep them in that class until they expire after 7 years.
Enable S3 Intelligent-Tiering with automatic archive tiers and rely on it to move objects between access tiers for the full 7-year retention.
Transition objects from S3 Standard directly to S3 One Zone-IA after 30 days and retain them there for 7 years.
Create an S3 Lifecycle rule that keeps objects in S3 Standard for 30 days, transitions them to S3 Standard-IA until 90 days, and then moves them to S3 Glacier Deep Archive for the remainder of the 7-year retention period.
Keeping recent data in S3 Standard avoids any retrieval fee for the period of frequent analytics. Moving objects to S3 Standard-IA after 30 days cuts storage cost by about 40 % while preserving millisecond access for occasional reads before the 90-day mark. Transitioning the files to S3 Glacier Deep Archive after 90 days provides the lowest price per GB in S3 and still allows Standard retrieval in ≤12 hours, which satisfies the monthly audit window. The other options leave data in more expensive classes (Instant Retrieval or One Zone-IA) or pay continuous monitoring fees for Intelligent-Tiering without gaining the deeper cost savings of Glacier Deep Archive.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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