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Azure Services Deep Dive Questions

In depth knowledge of Microsoft Azure platform services, architecture trade offs, operational considerations, and best practices. Candidates should be able to discuss compute options such as Azure Virtual Machines sizing, availability sets and zones, maintenance windows, and scale sets; storage options including Azure Storage account types, redundancy and replication choices, and backup strategies; database offerings such as Azure SQL Database, managed instances, high availability and replication patterns; networking fundamentals including Azure Virtual Network design, subnetting, network security groups, peering, service endpoints and private links, and load balancing with Application Gateway and Azure Load Balancer; container orchestration and related considerations such as Azure Kubernetes Service concepts, cluster sizing, upgrades, and networking models; serverless and platform services such as Azure Functions and event driven architectures; infrastructure as code and deployment pipelines using Azure DevOps and templates; identity and secrets management with Azure Active Directory and Azure Key Vault including secret rotation; monitoring, logging, and cost optimization strategies; and security, compliance, and disaster recovery planning across these services. Interview evaluation focuses on architectural reasoning, trade off analysis, operational runbook concerns, scaling and performance tuning, failure modes and recovery, and automation using provider native tooling.

EasyTechnical
86 practiced
Explain Azure Storage account types and when to use each: General-purpose v2 (GPv2), Blob storage, File storage, Queue, Table, and premium Blob/File tiers. Cover performance tiers, access tiers (hot/cool/archive), durability/replication options (LRS/ZRS/GRS/GZRS), and practical examples such as logs, media assets, and long-term compliance archives.
HardSystem Design
77 practiced
Propose a secure, scalable secret and certificate management strategy for an enterprise using Azure Key Vault, Managed Identities, and CI/CD integration. Cover access control model and least privilege, automated key and secret rotation policies, audit logging and monitoring, disaster recovery/backups for Key Vault, and secure pipeline patterns to avoid exposing secrets.
EasyTechnical
100 practiced
A buyer asks the difference between Azure Active Directory (Azure AD) and Azure AD B2C. Explain primary purposes (organizational identities vs consumer identities), authentication flows supported, integration points for enterprise apps and customer-facing portals, and scenarios where each is the better fit. Also mention licensing considerations relevant to an enterprise procurement conversation.
EasyTechnical
88 practiced
A customer is evaluating Azure SQL Database (single and elastic pools), Azure SQL Managed Instance, and SQL Server on Azure VMs. Explain functional differences, feature compatibility (SQL Agent, cross-database queries, CLR, linked servers), operational responsibilities (patch/backup), HA/DR options, migration complexity, and typical cost/benefit trade-offs for each option. Provide decision criteria to recommend one over the others.
HardTechnical
84 practiced
A customer runs a latency-sensitive, read-heavy relational workload that must scale to millions of daily reads with sub-50ms p99 latency. Compare Azure SQL Hyperscale, Cosmos DB (Core SQL API), and SQL Server on VM for this workload. Discuss read replicas, caching strategies (Redis), indexing, data model trade-offs, and migration complexity for each option.

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