AWS Certified Data Engineer Associate DEA-C01 Practice Question
An IoT company writes 5 TB of compressed Parquet files to an Amazon S3 data lake every day. Dashboards query the most recent 30 days of data many times per hour, while files older than 30 days are rarely accessed but must still be retrievable within a few minutes for regulatory audits during the next 5 years. Which storage approach best balances performance with cost?
Transition objects older than 30 days to S3 Glacier Flexible Retrieval and use Expedited retrieval when audits occur.
Create a lifecycle rule that moves objects to S3 Standard-Infrequent Access after 30 days.
Keep the first 30 days in S3 Standard, then transition objects to S3 Glacier Instant Retrieval after 30 days by using an S3 Lifecycle policy.
Store all files in the S3 Standard storage class for their full 5-year retention period.
S3 Standard provides the low-latency performance needed for the actively queried "hot" portion of the dataset. After 30 days, a lifecycle rule can transition the objects to the S3 Glacier Instant Retrieval storage class. Glacier Instant Retrieval keeps objects on disk so they can still be obtained in milliseconds, but its storage price is significantly lower than S3 Standard-IA while remaining far cheaper than keeping everything in S3 Standard. Glacier Flexible Retrieval would require either paying an Expedited fee or waiting hours, and Standard-IA offers similar latency but higher monthly storage cost. Maintaining all data in S3 Standard would be the most expensive choice.
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What is S3 Glacier Instant Retrieval, and how is it different from other S3 storage classes?
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What is an S3 Lifecycle policy, and how does it work?
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Why does the solution use S3 Standard for the first 30 days instead of another storage class?
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What is S3 Glacier Instant Retrieval?
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How does S3 Lifecycle work?
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Why is S3 Standard used for the most recent 30 days?
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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