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Azure Interview Questions & Answer

▣ 24th Sept 2026
◷ 09:00 PM - 10:00 PM (IST)
▣ Live on Zoom

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Detailed Syllabus

Comprehensive, up-to-date and industry-focused content
Module 1: Microservices Interview Questions. +
  1. What are Microservices? Explain Microservices architecture. (TCS, INFY, CTS, CAP, WIP, VIR, LTI, ACN, GL)
  2. What is the difference between Monolithic and Microservices architecture? (TCS, INFY, CTS, CAP, WIP, VIR, GL, LTI, PER)
  3. How do Microservices communicate with each other? (CTS, GL, VIR, EPAM, DEL, TCS)
  4. Synchronous vs Asynchronous communication in Microservices? (CTS, EPAM, DEL, VIR)
  5. REST API vs Message Queue/Event Bus — when would you use each? (VIR, CTS, GL)
  6. What are the advantages and disadvantages/challenges of Microservices? (INFY, CTS, VIR, CAP)
  7. How do you identify or define Microservice boundaries? (VIR, EPAM, DEL)
  8. What is Domain-Driven Design (DDD), and how is it related to Microservices? (EPAM, DEL, PS)
  9. What is a Bounded Context and how does it help define Microservices? (EPAM, TW, DEL)
  10. What is an API Gateway and why is it required? (CTS, TCS, ACN, EPAM, CAP)
  11. What is Service Discovery / Service Registry? (CTS, INFY, EPAM, CAP)
  12. How do you handle distributed transactions in Microservices? (DEL, TCS, VIR, CTS, EPAM)
  13. What is the Saga Pattern? (EPAM, DEL, ACN, CTS, VIR)
  14. Saga Choreography vs Orchestration? (EPAM, DEL, ACN, CTS)
  15. What is CQRS and why/when would you use it? (EPAM, DEL, PS, ACN)
  16. How do you maintain data consistency / eventual consistency across Microservices? (CTS, GL, EPAM, DEL)
  17. How do you handle failures and fault tolerance in Microservices? (GL, CTS, INFY, EPAM)
  18. Explain Retry and Circuit Breaker patterns. (INFY, CTS, EPAM, ACN, CAP)
  19. How do you handle duplicate messages / idempotency / retry failures? (CTS, EPAM, DEL)
  20. How do you secure/authenticate Microservices? Explain JWT/OAuth. (CTS, HEX, ACN, DEL)
  21. How do you deploy Microservices? (INFY, CAP, VIR, CTS)
  22. How do Docker and Kubernetes help Microservices? (CTS, INFY, CAP, TCS)
  23. How do you implement logging and monitoring in Microservices? (INFY, EPAM, CTS, ACN)
  24. How do you migrate a Monolithic application to Microservices? (CTS, VIR, INFY)
  25. What challenges have you faced while working with Microservices? (VIR, CTS, EPAM, DEL)
Module 2: Azure Interview Questions. +
  1. ​What is Azure App Service and how do you deploy a .NET application to it?
  2. ​What are the different options to deploy a .NET Web API on Azure (App Service, AKS, Azure Container Apps, VM)?
  3. ​Why did you choose Azure App Service instead of AKS or Azure VM?
  4. ​What is the difference between Azure App Service and Azure Virtual Machine?
  5. ​What is Azure Functions and when would you use it?
  6. ​How do you secure Azure Functions using Azure AD and JWT?
  7. ​How do you implement Role-Based Access Control (RBAC) in Azure Functions?
  8. ​How do you handle JWT token expiration and refresh tokens in Azure?
  9. ​What are Durable Functions and when should they be used?
  10. ​How do you monitor Azure Functions and receive alerts when they fail?
  11. ​What is Azure Storage Account and what are its different storage types?
  12. ​How do you secure an Azure Storage Account from unauthorized access?
  13. ​What is Azure Key Vault and why is it important?
  14. ​How do you connect an ASP.NET Core application to Azure Key Vault?
  15. ​What is Managed Identity and how does it work with Azure Key Vault?
  16. ​How do you implement CI/CD using Azure DevOps?
  17. ​Explain the stages of an Azure DevOps pipeline.
  18. ​How do you deploy Docker containers to Azure App Service?
  19. ​What is Azure Container Registry (ACR)?
  20. ​What is Azure Kubernetes Service (AKS) and when would you use it?
  21. ​How do you configure autoscaling in Azure App Service?
  22. ​What is Azure Service Bus?
  23. ​What is the difference between Queue and Topic in Azure Service Bus?
  24. ​When would you choose Azure Service Bus over REST API communication?
  25. ​What is Azure Event Grid?
  26. ​What is Azure Event Hub?
  27. ​What is the difference between Azure Event Grid and Azure Event Hub?
  28. ​What is Azure API Management (APIM) and why is it used?
  29. ​How do you secure an ASP.NET Core Web API hosted in Azure?
  30. ​How do you authenticate Azure APIs using Azure AD?
  31. ​What is Azure Monitor?
  32. ​What is Application Insights?
  33. ​How do you configure centralized logging using Application Insights?
  34. ​How do you write KQL (Kusto Query Language) queries for troubleshooting?
  35. ​How do you troubleshoot performance issues in Azure App Service?
  36. ​How do you implement distributed caching in Azure?
  37. ​What is Azure Redis Cache and when would you use it?
  38. ​How do you store secrets without using appsettings.json?
  39. ​What are Private Endpoints and VNet Integration?
  40. ​How do you secure communication between Azure services?
  41. ​What are deployment slots in Azure App Service?
  42. ​What is Blue-Green Deployment in Azure?
  43. ​What is Canary Deployment in Azure?
  44. ​How do you roll back a failed deployment in Azure?
  45. ​What Azure AI services have you worked with?
  46. ​How do you integrate Azure OpenAI or Azure AI Services into a .NET application?
  47. ​How do you optimize Azure cloud costs?
  48. ​How do you design a highly available Azure architecture?
  49. ​How do you implement disaster recovery in Azure?
  50. ​Describe the Azure architecture used in your current project.
Module 3: Most Asked AI ML Interview Questions. +
  1. What is Artificial Intelligence?
  2. What are the different types of Artificial Intelligence?
Module 4: Kubernetes Fundamentals +

Introduction to Containerization

  • Physical Servers → Virtualization → Containerization evolution
  • Linux Namespaces & cgroups — how containers work under the hood
  • VMs vs Containers: resource utilisation, startup time, footprint
  • Docker Engine, Desktop, Daemon & Client-Server Architecture

Working with Containers & Images

  • Container lifecycle: run, stop, start, restart, inspect
  • Commands: docker run, exec, ps, logs, inspect
  • Port binding, Detached & Foreground modes
  • Image layers, copy-on-write, storage drivers & caching
  • Docker Hub: pull, push, tagging & private registries

Deep Dive into Dockerfile

  • Key instructions: FROM, RUN, CMD, ENTRYPOINT, COPY, ADD, ENV, ARG, EXPOSE, WORKDIR
  • Multi-stage builds, minimising layers, leveraging build cache
  • Hands-on: Node.js, Python, Java Spring Boot environments

Docker Storage & Networking

  • Anonymous Volumes, Named Volumes, Bind Mounts
  • Network drivers: Bridge, Host, None, Overlay
  • Linking containers & custom user-defined bridge networks

Multi-Container Orchestration — Docker Compose

  • Writing docker-compose.yml; Frontend / Backend / Database tiers
  • Environment variables, secrets management & volume mounts
  • Health checks, depends_on & service dependencies

Kubernetes Architecture & Setup

  • Control Plane: API Server, etcd, Controller Manager, Scheduler
  • Worker Nodes: Kubelet, Kube-Proxy, Container Runtime (CRI)
  • kubectl, Minikube & Kind (Kubernetes in Docker)

Core Kubernetes Objects & Workloads

  • Pods: lifecycle, Sidecar pattern, Init Containers
  • Imperative vs. Declarative — kubectl & YAML manifests
  • ReplicaSets: self-healing & manual scaling
  • Deployments: rolling updates & rollback strategies

Networking & Service Discovery

  • Services: ClusterIP, NodePort, LoadBalancer deep dive
  • Ingress & Ingress Controllers: path-based & domain-based routing
  • CoreDNS — service discovery inside the cluster

Application Configuration & Storage

  • ConfigMaps & Secrets: API keys, passwords, decoupled config
  • PersistentVolumes (PV), PersistentVolumeClaims (PVC), StorageClasses
  • StatefulSets — managing stateful applications & Databases

Advanced Cluster Management

  • Scheduling: Node Selectors, Affinity, Taints & Tolerations
  • Health checks: Liveness, Readiness & Startup Probes
  • Resource Requests & Limits (CPU & Memory)
  • Horizontal Pod Autoscaler (HPA) — CPU & memory-based scaling

▣ Upcoming Session Schedule

Date
Time (IST)
Topic
Mode
29th August 2026
10:00 AM - 1:00 PM
Docker & Kubernetes (Part 1)
Live on Zoom
30th August 2026
10:00 AM - 1:00 PM
Docker & Kubernetes (Part 2)
Live on Zoom

▣ How to Join?

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Enroll for the training (5-Year QuestPond Subscribers Only)
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You will receive a confirmation email with Zoom link
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Join the session at the scheduled time
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Participate in live demos, doubt clearing and hands-on labs

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