EEdukron DevOps Library
Microsoft AzureIntermediate8 submodules

Azure Compute Services

Interviewers expect a decision framework: control versus operational burden, state, scaling, networking, deployment unit, availability, security, and price.

Interview focus

Answer with mechanism, evidence, and trade-offs

Interviewers expect a decision framework: control versus operational burden, state, scaling, networking, deployment unit, availability, security, and price.

Strong-answer signals

  • Compare IaaS, PaaS, serverless, containers, and Kubernetes
  • Design availability and scaling
  • Match workloads to Azure compute services
  • Plan identity, networking, deployment, and monitoring
  • Explain operational trade-offs

Flow diagram

Azure Compute Services answer flow

Use this flow to structure design and scenario answers from context through evidence and recovery.

  1. 01
    Profile workloadAzure Compute Services stage 1: profile workload with an auditable result before the next stage begins.
  2. 02
    Select compute modelAzure Compute Services stage 2: select compute model with an auditable result before the next stage begins.
  3. 03
    Design availabilityAzure Compute Services stage 3: design availability with an auditable result before the next stage begins.
  4. 04
    Deploy securelyAzure Compute Services stage 4: deploy securely with an auditable result before the next stage begins.
  5. 05
    Scale and observeAzure Compute Services stage 5: scale and observe with an auditable result before the next stage begins.
  6. 06
    Optimize operationsAzure Compute Services stage 6: optimize operations with an auditable result before the next stage begins.

Practical interview scenario

Design, diagnose, and defend your decision

A platform contains a legacy stateful service, an HTTP API, an event-driven worker, and many microservices. Choose Azure compute targets and justify migration and operational trade-offs.

A complete response should include
  • Business impact and technical constraints
  • Architecture or execution sequence
  • Identity, security, and evidence
  • Failure handling and recovery
  • Metrics and next improvement

Module question spotlight

Five questions to practise first

Model answers included
01Virtual MachinesWhat problem does Virtual Machines solve, how does it work in Azure Compute Services, and what is it commonly confused with?

Define the mechanism and ownership boundary first. Explain that it provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle, then contrast it with the adjacent responsibilities represented by the module prerequisites and the following VM Scale Sets concept. Close with a concrete validation signal.

02VM Scale SetsHow would you implement and validate VM Scale Sets for a production workload?

Start from workload constraints and existing state. State the requirement, configure the smallest working unit, connect its dependencies, test success and failure, and document operational ownership. Include identity, dependencies, normal and failure tests, monitoring, and an explicit recovery decision.

03Availability SetsA change involving Availability Sets causes a production symptom. What evidence would you inspect and how would you recover safely?

Establish scope and recent change, inspect the native configuration and event or log evidence, test the dependency boundary, apply the smallest reversible mitigation, verify user impact has recovered, and retain the findings for permanent prevention.

04App ServiceWhat problem does App Service solve, how does it work in Azure Compute Services, and what is it commonly confused with?

Define the mechanism and ownership boundary first. Explain that it provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle, then contrast it with the adjacent responsibilities represented by the preceding Availability Sets concept and the following Azure Functions concept. Close with a concrete validation signal.

05Azure FunctionsHow would you implement and validate Azure Functions for a production workload?

Start from workload constraints and existing state. Define inputs and types, validate assumptions, execute an idempotent change, expose outputs, handle failure, and retain a clear log. Include identity, dependencies, normal and failure tests, monitoring, and an explicit recovery decision.

Complete question bank

24 topic-aware interview questions

8 submodules
04

App Service

Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.

Open question set
08

AKS

Concept, implementation, and troubleshooting questions with model answers, evaluation points, follow-ups, and weak-answer warnings.

Open question set