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Workload-Specific Database DesignmediumMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

A healthcare application requires storing patient records that include structured data (e.g., name, age) and unstructured data (e.g., medical images). The application needs to query structured data with SQL and serve images via HTTPS. Which combination of AWS services provides the MOST efficient design?

⚠ Common exam trap

It's easy for candidates to choose DynamoDB (Option A) thinking it handles both structured and unstructured data, but it lacks SQL support, which is explicitly required for querying structured data in this scenario.

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 for structured data and Amazon S3 for images with Amazon CloudFront

Amazon RDS for PostgreSQL provides full SQL querying capabilities for structured patient data, while Amazon S3 with Amazon CloudFront offers scalable, low-latency HTTPS serving of medical images. CloudFront caches images at edge locations, reducing latency and offloading S3, which is the most efficient design for mixed structured/unstructured workloads.

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 for structured data and Amazon S3 for images with DynamoDB Accelerator (DAX)

    Why it's wrong here

    DynamoDB does not support SQL queries.

  • Amazon RDS for MySQL for structured data and Amazon EFS for images

    Why it's wrong here

    EFS is a file system, not designed for high-throughput image serving.

  • Amazon RDS for PostgreSQL for structured data and Amazon S3 for images with Amazon CloudFront

    Why this is correct

    RDS provides SQL; S3 and CloudFront serve images efficiently.

  • Amazon Redshift for structured data and Amazon S3 for images

    Why it's wrong here

    Redshift is for analytics, not transactional SQL 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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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.