AWS Certified Data Engineer Associate DEA-C01 Practice Question
An AWS data engineer stores compressed IoT telemetry in an Amazon S3 bucket. Analysts query the objects hourly for the first 14 days. After that period the data is rarely accessed, but compliance rules require that it remain available within minutes for up to 5 years. What is the most cost-effective way to meet these requirements?
Configure an S3 Lifecycle rule to transition objects to S3 Glacier Flexible Retrieval 14 days after creation.
Create an S3 Lifecycle rule that transitions objects to S3 Glacier Instant Retrieval 14 days after creation and retains them for 5 years.
Enable S3 Intelligent-Tiering on the bucket and rely on automatic tier placement.
Use S3 Batch Operations to move the objects to S3 Glacier Deep Archive after 14 days.
S3 Glacier Instant Retrieval (GIR) is designed for long-lived, infrequently accessed data that still needs millisecond-level access. A lifecycle rule can automatically transition objects to GIR 14 days after creation and leave them there for 5 years. This provides lower storage cost than Standard-IA or Intelligent-Tiering while still meeting the minutes-level retrieval requirement. Glacier Flexible Retrieval and Glacier Deep Archive are less expensive but have retrieval times measured in hours, so they do not satisfy the access-within-minutes constraint.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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