DAS-C01 · Question #142
DAS-C01 Question #142: Real Exam Question with Answer & Explanation
The correct answer is C: Isolated namespaces. {"question_number": 8, "correct_answer": "C", "explanation": "Amazon QuickSight namespaces provide logical isolation within a single QuickSight account, making them ideal for multi-tenant SaaS applications. Each namespace has its own pool of users and groups, and data access can
Question
An analytics software as a service (SaaS) provider wants to offer its customers business intelligence (BI) reporting capabilities that are self-service. The provider is using Amazon QuickSight to build these reports. The data for the reports resides in a multi-tenant database, but each customer should only be able to access their own data. The provider wants to give customers two user role options: - Read-only users for individuals who only need to view dashboards - Power users for individuals who are allowed to create and share new dashboards with other users Which QuickSight feature allows the provider to meet these requirements?
Options
- AEmbedded dashboards
- BTable calculations
- CIsolated namespaces
- DSPICE
Explanation
{"question_number": 8, "correct_answer": "C", "explanation": "Amazon QuickSight namespaces provide logical isolation within a single QuickSight account, making them ideal for multi-tenant SaaS applications. Each namespace has its own pool of users and groups, and data access can be scoped to that namespace. Within each namespace, you can assign roles - Readers (read-only dashboard viewers) and Authors (who can create and share dashboards) - which directly maps to the two user roles required. This allows the SaaS provider to onboard each customer into their own isolated namespace while managing everything from a single QuickSight account. Option A (Embedded Dashboards) is a delivery mechanism for embedding content in external apps, not a multi-tenancy isolation feature. Option D (SPICE) is an in-memory query engine, not a security feature.", "generated_by": "claude-sonnet", "llm_judge_score": 4}
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