Deployment Strategies and Environment Configuration
This topic covers aliases, versions, canary releases, blue/green releases, configuration management, validation, rollback, and production safety.
How to study for AWS Developer Associate
Treat each question as an application delivery scenario: identify the service integration, permission boundary, deployment path, and operational signal before choosing an answer.
Core concepts
Concept 1
Deployment Strategies and Environment Configuration questions test AWS developer decisions in code, deployment, security, and operations.
Exam cue: Identify the runtime, integration point, data store, permission boundary, and deployment path in the scenario.
Concept 2
The strongest answer maps the application requirement to the managed AWS service feature that reduces custom code and operational risk.
Exam cue: Choose the AWS service behavior that satisfies the requirement with secure defaults and measurable failure handling.
Concept 3
Eliminate options that expose credentials, bypass least privilege, ignore throttling, or trade observability for convenience.
Exam cue: Prefer managed retries, idempotency, IAM roles, encryption, tracing, and staged release controls when the prompt calls for them.
Risk pitfalls and guardrails
Hard-coding credentials, secrets, or endpoints when AWS provides role-based or managed configuration options.
Guardrail: Avoid answers that hard-code secrets, skip IAM roles, ignore retry behavior, hide failures, or deploy unversioned code directly to production.
Choosing a compute or messaging pattern without considering retry behavior, ordering, idempotency, or concurrency.
Guardrail: Avoid answers that hard-code secrets, skip IAM roles, ignore retry behavior, hide failures, or deploy unversioned code directly to production.
Treating logs, metrics, and traces as afterthoughts instead of exam-tested troubleshooting evidence.
Guardrail: Avoid answers that hard-code secrets, skip IAM roles, ignore retry behavior, hide failures, or deploy unversioned code directly to production.
Memory anchors
Lambda Version
A Lambda version is an immutable snapshot of function code and configuration.
Lambda Alias
A Lambda alias points to a version and can shift traffic between versions.
Canary Deployment
A canary deployment sends a small percentage of traffic to a new version before full rollout.
Blue Green Deployment
A blue green deployment shifts traffic from the old environment to a parallel new environment.
AppConfig
AWS AppConfig deploys application configuration with validation, staged rollout, and rollback controls.
Elastic Beanstalk
Elastic Beanstalk manages application environments while allowing configuration of platform, capacity, and deployment policy.
Rollback
A rollback restores a known-good version or stack state when validation or alarms fail.
CloudWatch Alarm Hook
A deployment can use CloudWatch alarms to stop or roll back unhealthy releases.
Environment Promotion
Environment promotion moves tested artifacts through stages instead of rebuilding different artifacts for each stage.
Parameter Override
Parameter overrides customize deployment settings without changing shared templates.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
A Lambda function update must send 10% of production invocations to the new immutable version for ten minutes before shifting the rest. What should be configured?
A Lambda function has an alias named `prod` pointing to version 12. Version 13 is published but not assigned to the alias. Which code do clients invoking the alias run?
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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