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Workload-Specific Database DesignhardMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

A company is designing a multi-tenant SaaS application using Amazon Aurora PostgreSQL. Each tenant's data must be isolated for security and compliance. The application has a few large tenants and many small tenants. Queries must be able to access data across tenants for reporting, but with strict access controls. Which design best meets these requirements?

⚠ Common exam trap

Watch out — candidates often assume that physical separation (separate clusters or databases) is always required for compliance, but Aurora PostgreSQL's row-level security can provide logical isolation that meets security requirements while enabling efficient cross-tenant reporting.

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

Use a single Aurora cluster with a separate schema per tenant and implement row-level security policies.

It uses a single Aurora cluster with a separate schema per tenant and row-level security (RLS) policies. This design provides strong tenant isolation at the schema level while allowing cross-tenant reporting queries with strict access controls enforced by RLS policies, which automatically filter rows based on the current session's tenant context. It balances security, compliance, and operational efficiency for a mix of large and small tenants.

Answer analysis

Option-by-option breakdown

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

  • Use a single Aurora cluster with a separate schema per tenant and implement row-level security policies.

    Why this is correct

    Schemas provide logical isolation and RLS enforces access controls per tenant.

  • Create a separate database per tenant in the same Aurora cluster.

    Why it's wrong here

    Too many databases for small tenants leads to management overhead and connection limits.

  • Create a separate Aurora cluster per tenant.

    Why it's wrong here

    Cost prohibitive for many small tenants.

  • Use a single Aurora cluster with a single schema but add a tenant_id column to every table.

    Why it's wrong here

    Without RLS, queries can inadvertently access other tenants' data; also reporting becomes complex.

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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.