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Data Store ManagementmediumMultiple SelectObjective-mapped

DEA-C01 Data Store Management Practice Question

A data engineer is designing a data store for a real-time analytics application that requires sub-millisecond read and write latency for time-series data. The data volume is expected to grow to hundreds of terabytes. Which TWO AWS services should the engineer consider? (Choose TWO.)

⚠ Common exam trap

The trap here is that candidates may overlook Amazon Timestream because it is a newer, specialized service, and instead choose ElastiCache for Redis due to its low latency, failing to consider the hundreds of terabytes storage requirement that makes Redis impractical.

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

Amazon DynamoDB with Time-to-Live (TTL)

Amazon DynamoDB with TTL is correct because it provides single-digit millisecond read and write latency at any scale, making it suitable for real-time time-series data. The TTL feature automatically expires old records, which helps manage the hundreds of terabytes of data without manual intervention, keeping storage costs predictable.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Amazon Redshift

    Why it's wrong here

    Redshift is for analytical queries, not sub-millisecond latency.

  • Amazon DynamoDB with Time-to-Live (TTL)

    Why this is correct

    DynamoDB supports low-latency reads/writes and TTL for automatic expiration of old data.

  • Amazon ElastiCache for Redis

    Why it's wrong here

    ElastiCache is in-memory and limited by cluster memory size; hundreds of terabytes would be costly.

  • Amazon RDS for PostgreSQL

    Why it's wrong here

    RDS is not optimized for time-series and may not achieve sub-millisecond latency at scale.

  • Amazon Timestream

    Why this is correct

    Timestream is purpose-built for time-series data and provides low-latency queries.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Last reviewed: Jul 4, 2026

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