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Workload-Specific Database DesigneasyMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

A startup is building a social media application that requires storing user profiles, posts, comments, and likes. The workload has variable traffic, with spikes after marketing campaigns. The team expects to run complex JOIN queries to generate a user's feed. Which AWS database service is MOST suitable for this relational workload?

⚠ Common exam trap

Test-takers frequently choose DynamoDB for its scalability and low latency, overlooking that complex JOINs are not supported in NoSQL databases, making RDS PostgreSQL the correct choice for relational workloads requiring SQL JOIN operations.

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 RDS for PostgreSQL

Amazon RDS for PostgreSQL is the most suitable choice because the workload requires complex JOIN queries on relational data (user profiles, posts, comments, likes). PostgreSQL provides full SQL support, ACID compliance, and robust indexing capabilities (e.g., B-tree, GiST, GIN) that efficiently handle multi-table joins. RDS also offers managed scaling, automated backups, and read replicas to accommodate traffic spikes after marketing campaigns.

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 Neptune

    Why it's wrong here

    Neptune is a graph database, not suited for typical relational queries.

  • Amazon RDS for PostgreSQL

    Why this is correct

    RDS PostgreSQL offers full relational capabilities and managed scaling.

  • Amazon DynamoDB with global secondary indexes

    Why it's wrong here

    DynamoDB cannot perform JOINs; application-level joins would be complex and slow.

  • Amazon ElastiCache for Redis

    Why it's wrong here

    ElastiCache is a cache, not a durable database for primary data.

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