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Workload-Specific Database DesignmediumMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

A company is running a MongoDB workload on-premises and wants to migrate to AWS with minimal operational overhead. The application uses MongoDB-specific features like aggregation pipelines. Which service is best?

⚠ Common exam trap

Many exam-takers choose Amazon DynamoDB because it is a NoSQL database, but they overlook that DynamoDB lacks MongoDB wire protocol compatibility and aggregation pipeline support, forcing a complete application rewrite.

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 DocumentDB

Amazon DocumentDB is the correct choice because it is a fully managed, MongoDB-compatible document database that supports MongoDB-specific features like aggregation pipelines, indexes, and queries. It minimizes operational overhead by handling hardware provisioning, patching, backups, and replication, making it ideal for migrating an on-premises MongoDB workload to AWS without significant application changes.

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 DynamoDB

    Why it's wrong here

    DynamoDB is not compatible with MongoDB APIs.

  • Amazon DocumentDB

    Why this is correct

    DocumentDB is MongoDB-compatible and fully managed, reducing operational overhead.

  • Amazon RDS for PostgreSQL

    Why it's wrong here

    RDS for PostgreSQL is relational and does not support MongoDB features.

  • Amazon Elasticsearch Service

    Why it's wrong here

    Elasticsearch is a search engine, not a document database.

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