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Azure AZ-305 Sample Questions with Explanations

April 25, 2026

Azure AZ-305 sample questions with explanations, traps, topic labels, and IT Mastery route links.

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These original sample questions are designed to help you check how the exam topics appear in decision-style prompts. They are not taken from the live exam.

Use these sample questions as a guided self-assessment for Azure Solutions Architect (AZ-305) topics such as landing zones, identity governance, private connectivity, data platform selection, disaster recovery, migration strategy, monitoring, and architecture trade-offs. The prompts emphasize design justification rather than administrator-level procedure.

Where these questions fit in the AZ-305 guide

The sample set below is part of the Microsoft Azure AZ-305 guide path:

AZ-305 Azure architecture sample questions

Work through each prompt before opening the explanation. AZ-305 questions usually reward answers that satisfy the stated constraint with the simplest governed Azure design.

Question 1

Topic: Landing-zone governance

An enterprise is standardizing Azure subscriptions for multiple business units. Platform teams need consistent region restrictions, required tags, security baselines, and centralized policy reporting across subscriptions. Which design is strongest?

  • A. Ask each application team to document standards in a wiki and apply them manually.
  • B. Apply Azure Policy initiatives at the appropriate management group scope and organize subscriptions under a landing-zone hierarchy that matches governance boundaries.
  • C. Use resource locks as the only governance mechanism for all subscriptions.
  • D. Put every workload in one subscription so policy scope is simpler.

Best answer: B

Explanation: AZ-305 governance questions reward scope design. Management groups and Azure Policy initiatives let platform teams apply and report standards consistently across subscriptions while preserving workload isolation.

Why the other choices are weaker:

  • A is manual and hard to enforce or audit.
  • C locks prevent accidental changes but do not express compliance standards such as allowed regions or tags.
  • D weakens subscription-level isolation and scale.

What this tests: Management groups, Azure Policy, landing zones, tags, and governance scope.

Related topics: Governance; Management groups; Azure Policy; Landing zone

Question 2

Topic: Private access to PaaS

A regulated workload must access Azure SQL Database without exposing the database over the public internet. The application runs in a virtual network, and the design must keep name resolution reliable. Which architecture is strongest?

  • A. Keep the public endpoint open and rely on developers to use strong passwords.
  • B. Move the application to a larger VM size so database traffic is more secure.
  • C. Use a Private Endpoint for Azure SQL Database and configure the required private DNS zone integration for the virtual network.
  • D. Use a storage account firewall because all Azure PaaS services share the same firewall rules.

Best answer: C

Explanation: Private Endpoint is the strong private-access pattern for supported PaaS services. The DNS part matters because clients must resolve the service name to the private endpoint path.

Why the other choices are weaker:

  • A leaves the public exposure the scenario wants to avoid.
  • B changes compute size, not network exposure.
  • D confuses unrelated service firewalls.

What this tests: Private Endpoint, private DNS, PaaS access, and regulated network design.

Related topics: Private Endpoint; Private DNS; Azure SQL; Networking

Question 3

Topic: Continuity target selection

A business application has a strict recovery time objective measured in minutes and cannot lose more than a few minutes of committed data. Which design instinct is strongest?

  • A. Use only weekly backups because backups always satisfy disaster recovery requirements.
  • B. Document the architecture so engineers can rebuild it manually after a regional outage.
  • C. Increase the SKU of the primary instance without designing a recovery path.
  • D. Choose a replication or failover design that matches the RTO and RPO, then test failover and dependency readiness.

Best answer: D

Explanation: AZ-305 continuity questions begin with RTO and RPO. Strict targets usually require replication, failover design, and testing rather than backup-only recovery.

Why the other choices are weaker:

  • A is likely too slow and loses too much data for the stated targets.
  • B is useful documentation, not an executable recovery design.
  • C may improve primary performance but does not create a recovery path.

What this tests: RTO, RPO, replication, failover, backup limits, and recovery validation.

Related topics: Business continuity; RTO; RPO; Failover

Question 4

Topic: Choosing a data platform

A global application stores user profile documents and must serve low-latency reads close to users in several regions. The data model is JSON-like, and the team needs tunable consistency. Which Azure data platform is the strongest fit?

  • A. Azure Cosmos DB with an appropriate partition key, multi-region configuration, and consistency choice aligned to the application requirement.
  • B. Azure Files because it provides SMB file shares.
  • C. Azure SQL Database on a single regional deployment because every global app should use relational storage.
  • D. Blob Storage static website hosting because the data is JSON-like.

Best answer: A

Explanation: Cosmos DB is the strong Azure fit for globally distributed document workloads where partitioning, regional replication, latency, and consistency are first-class design decisions.

Why the other choices are weaker:

  • B solves shared file semantics, not globally distributed document access.
  • C may fit relational workloads but ignores the document model and global low-latency clue.
  • D hosts static content; it is not a transactional profile store.

What this tests: Cosmos DB, document workloads, partitioning, multi-region design, and consistency trade-offs.

Related topics: Cosmos DB; Data design; Global distribution; Consistency

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Revised on Sunday, May 10, 2026
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