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Infrastructure Automation and Provisioning Questions

Covers designing, implementing, and operating automated infrastructure provisioning and configuration using Infrastructure as Code practices and complementary automation patterns. Candidates should be able to select and author declarative infrastructure definitions with tools such as Terraform, CloudFormation, and Azure Resource Manager templates, and discuss configuration management tools such as Ansible, Puppet, or Chef. Core skills include modular and reusable code organization for multiple environments, variable and output management, remote state management and locking, idempotency and atomicity of operations, and version control integration for infrastructure artifacts. Candidates should understand testing and validation practices including linting, plan or dry run validation, unit and integration testing of infrastructure changes, and drift detection and remediation. The topic includes strategies for safe changes and rollbacks, change coordination, error handling and recovery, and deployment patterns such as canary and blue green where applicable. It also encompasses automation and orchestration patterns, immutable infrastructure and self healing practices, autoscaling and scaling policies, automated patching and updates, secrets handling patterns using secret managers, and integrating observability and monitoring into automated workflows. Finally, candidates should be able to reason about trade offs between imperative and declarative approaches, scaling Infrastructure as Code across large projects and teams, and security and compliance considerations for automated provisioning.

HardTechnical
60 practiced
Explain Terraform internals at an advanced level: how Terraform constructs the dependency graph from resource references, how it generates a plan, how providers are invoked during refresh and apply, how resource addressing and state keys are formed, and why Terraform sometimes replaces resources instead of mutating them. Give concrete examples.
HardSystem Design
66 practiced
Design an immutable infrastructure pipeline using Packer, a golden image lifecycle, and automated instance refresh for a fleet behind a load balancer. Describe how to build and test images, promote images across environments, perform instance replacement with health checks and draining, and ensure minimal disruption during OS and security patch rollouts.
EasyTechnical
56 practiced
Define idempotency in the context of infrastructure automation. Why is idempotency important for repeatable provisioning and CI/CD pipelines? Give concrete examples of idempotent operations and non-idempotent operations and explain strategies to make non-idempotent operations safer.
MediumTechnical
44 practiced
During a cross-provider apply, an operation partially fails leaving some resources modified and others not. As the cloud engineer, describe steps to recover to a consistent state, ensure idempotency for subsequent retries, and avoid data loss. Include best practices for state locking, batching changes, and manual reconciliation when automated recovery is insufficient.
MediumSystem Design
59 practiced
Design a CI/CD pipeline for Infrastructure-as-Code stored in Git. The pipeline must include linting, plan/dry-run, automated tests (unit and integration), PR-based review with human approval for production, secure secrets handling, and an auditable apply step. Describe pipeline stages, tooling choices, branching strategy, and how to support deployments to multiple cloud accounts or subscriptions.

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