Designing Microsoft Azure Infrastructure Solutions
Who this exam is for
The Designing Microsoft Azure Infrastructure Solutions certification is designed for professionals who work with or want to work with Microsoft technologies in a professional capacity. It is taken by cloud engineers, DevOps practitioners, IT administrators, and technical professionals looking to validate their expertise.
You do not need extensive prior experience to attempt it, but you will benefit from hands-on familiarity with the subject matter. The exam tests applied knowledge and architectural judgment, not just memorization. If you can reason about trade-offs and real-world scenarios, structured practice will handle the rest.
Domain breakdown
The AZ-305 exam is built around official domains, each with a fixed percentage of the question pool. This distribution should directly inform how you allocate your study time.
Note the domain with the highest weight — many candidates under-invest here because it feels conceptual. In practice, this is where the exam is most precise, with scenario-based questions that test specifics.
What the exam actually tests
This is not a memorization exam. Questions require applied judgment under constraints. Almost every question includes a scenario with explicit requirements and asks you to select the most appropriate solution.
Here are examples of the question types you will encounter:
How to prepare — 4-week study plan
This plan assumes one hour per weekday and roughly 30 minutes of lighter review on weekends. It is calibrated for someone with some relevant experience. If you are starting from zero, add an extra week before Week 1 to familiarise yourself with the basics.
- Design Microsoft Entra ID topologies: single tenant vs multi-tenant, B2B (guest access for partners), B2C (customer-facing identity), External Identities federation options
- Study hybrid identity: Entra Connect sync vs cloud sync, password hash sync vs pass-through authentication vs ADFS federation — trade-offs for each
- Design governance hierarchies: Management Group structure (max 6 levels), Policy initiative assignment at appropriate scope, resource tagging taxonomy for cost allocation and RBAC
- Study Azure Monitor workspace design: centralized vs decentralized Log Analytics, workspace RBAC, data export rules, cross-workspace queries for enterprise-wide visibility
- Design relational data solutions: Azure SQL DB (DTU vs vCore), SQL Managed Instance (near 100% compatibility for migration), elastic pools for multi-tenant SaaS cost optimization
- Design Cosmos DB at scale: multi-region write configuration, consistency level selection per workload (financial = Strong, social = Eventual), partition key design to avoid hot partitions
- Study analytics architecture: Synapse dedicated SQL pool (complex analytics, petabyte scale), serverless SQL pool (pay-per-query exploration), Data Lake Gen2 hierarchical namespace design for POSIX ACLs
- Design data migration paths: Azure Database Migration Service (online vs offline mode), Azure Migrate for holistic assessment, Data Box for offline large-scale transfers
- Master HA patterns: zonal deployment (pin to specific AZ) vs zone-redundant deployment (automatically spread), multi-region active-passive vs active-active cost and complexity trade-offs
- Study DR metrics in depth: RTO (recovery time objective), RPO (recovery point objective) — know what each Azure service achieves: Site Recovery ~5min RPO, SQL geo-replication <5sec RPO
- Design AKS architecture: system vs user node pools, Azure CNI vs kubenet, private cluster with private API server endpoint, workload identity with federated credentials, KEDA for event-driven scaling
- Study hub-spoke networking: Azure Firewall Standard vs Premium (IDPS, TLS inspection), Private DNS zone design for private endpoint resolution, Azure Virtual WAN for managed large-scale hub-spoke
- Study Azure Migrate: server assessment (dependency analysis, right-sizing recommendations), agentless vs agent-based replication, database migration assessment for SQL workloads
- Design integration architecture: API Management tier selection (Consumption/Developer/Basic/Standard/Premium), Event Grid vs Service Bus vs Event Hubs decision criteria
- Memorize the load balancer decision tree: Load Balancer (L4, regional) vs Application Gateway (L7, regional, WAF) vs Azure Front Door (L7, global, WAF, CDN) vs Traffic Manager (DNS, global, no data path)
- Take all 6 mock exams; case study questions require holistic multi-service architecture decisions with trade-off justification — practice explaining why you chose each component
Common mistakes candidates make
These patterns appear repeatedly among candidates who resit this exam. Knowing them in advance is worth several percentage points.
Is Certsqill right for you?
Honestly: Certsqill is built for candidates who have already done some studying and want to convert knowledge into exam performance. If you have never touched the subject, start with a foundational course first — then come to Certsqill when you are ready to practice.
Where Certsqill is strong: question depth, AI-powered explanations, and domain analytics. Every question is mapped to the exam blueprint. When you get something wrong, the AI tutor explains why the right answer is right and why each wrong answer fails under the specific constraints in the question.
Where Certsqill is not a replacement: video courses and hands-on labs. Use Certsqill to test and sharpen — not as your first exposure to a topic you have never encountered.