1. Question 1

How does CloudTrail support monitoring/troubleshooting?

• ❌ Runs commands on EC2

• ✅ Logs API activity + records resource changes

• ❌ Monitors performance metrics

• ❌ Automates patching

Explanation:
CloudTrail logs who did what, when, and from where — essential for audits.

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2. Question 2 — (Select TWO)

Tools to troubleshoot AWS deployment issues

• ❌ AWS X-Ray (application tracing, not deployment debugging)

• ❌ S3 Buckets

• ✅ AWS CodeDeploy Deployment Logs

• ✅ AWS CloudFormation Change Sets

• ❌ Patch Manager

Correct Answers: 3 and 4

Explanation:

• Deployment Logs → show why deployment failed

• Change Sets → preview infra changes before execution

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3. Question 3

Service best for detecting & logging config changes

• ❌ CloudTrail (API calls, not config states)

• ✅ AWS Config

• ❌ Systems Manager

• ❌ CloudWatch

Explanation:
AWS Config tracks configuration drift, compliance, and changes to resources.

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4. Question 4 — (Select TWO)

Essential DevOps practices for deploying generative AI models

• ❌ Single environment, no rollback

• ❌ Replace IaC with manual config

• ✅ Automate model testing across diverse prompts

• ❌ Disable CD

• ✅ Monitor inference performance & resource usage

Correct Answers: 3 and 5

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5. Question 5

Purpose of CodeDeploy lifecycle event hooks

• ✅ Automate deployment actions at specific stages

• ❌ Store env variables

• ❌ Define infrastructure

• ❌ Monitor EC2

Explanation:
Hooks define steps like BeforeInstall, AfterInstall, ApplicationStart, etc.

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6. Question 6 — (Select TWO)

Deployment strategies that minimize release risk

• ❌ In-place

• ✅ Blue/Green Deployment

• ❌ All-at-once

• ✅ Canary Deployment

• ❌ Manual Deployment

Correct Answers: 2 and 4

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7. Question 7

Why is prompt variability important?

• ✅ Small changes produce different outputs

• ❌ Responses are deterministic

• ❌ Tested only after infra

• ❌ Prompts produce identical results

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8. Question 8

Key challenge integrating generative AI in DevOps

• ✅ Testing must handle variability + non-deterministic outputs

• ❌ AI does not require monitoring

• ❌ AI outputs deterministic

• ❌ CI incompatible with AI

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9. Question 9

Major benefit of reviewing CloudFormation templates before execution

• ❌ Monitor resource use

• ❌ Test applications

• ✅ Ensure infra changes match requirements

• ❌ Speed up deployments

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10. Question 10

Why are X-Ray service maps useful?

• ✅ Visualize flow of requests across components

• ❌ Execute commands

• ❌ Log API calls

• ❌ Monitor CPU/memory

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🧾 Summary Table

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