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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.

EasyTechnical
0 practiced
Briefly explain blue-green and canary deployment patterns from an infrastructure perspective and give a concrete infrastructure-level example where each is preferred. Include considerations for traffic routing, resource duplication, cost, and the added complexity around database schema changes during these deployments.
MediumTechnical
0 practiced
Provide an approach to ensure atomic and idempotent infrastructure changes when a single logical change spans multiple resources (for example: updating an RDS instance and modifying associated IAM policies). Discuss orchestration patterns, transactional or pseudo-transactional flows, retry strategies, and how to detect and recover from partial failures.
EasyTechnical
0 practiced
Explain what Infrastructure as Code (IaC) is and why a Solutions Architect should recommend it to clients. Include key benefits, typical tools, and at least three business or operational outcomes (for example: faster provisioning, reproducibility, auditability). Contrast IaC with manual configuration management and give one real-world scenario where IaC delivers measurable value.
EasyTechnical
0 practiced
Explain remote state management and locking for Terraform when operating in a team environment. Include how you would configure a secure remote backend (e.g., S3 + DynamoDB or Terraform Cloud), why state locking matters, how to restrict access, and how you would handle state drift and state corruption recovery.
HardTechnical
0 practiced
For large Terraform stacks that take long to apply and occasionally timeout, propose concrete techniques to speed up runs and improve reliability. Discuss state-splitting (separate stacks), resource targeting, parallelism settings, remote execution options (runners, Terraform Cloud), provider retries/rate-limit handling, and reorganizing monolithic repos into smaller logical units.

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