Infrastructure and Reliability Engineering CT-QDO Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A DevOps team wants to integrate Chaos Engineering experiments into their CI/CD pipeline to continuously validate resilience. They are concerned about slowing down the pipeline. What is the best approach?

   • ARun experiments only in a nightly job, not in the CI/CD pipeline
   • BRun all experiments in the production environment after every deployment
   • CSkip experiments in the pipeline and run them manually once a month
   • DRun a small set of experiments in a parallel stage that does not block the main pipeline
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which tool is commonly used for provisioning cloud infrastructure in a declarative way?

   • ATerraform
   • BAnsible
   • CPuppet
   • DChef
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   What is the primary purpose of Infrastructure as Code (IaC)?

   • ATo replace all manual configuration with a single script that runs once
   • BTo automatically fix any infrastructure failure without human intervention
   • CTo eliminate the need for any human involvement in IT operations
   • DTo manage and provision infrastructure through machine-readable definition files
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the primary benefit of storing Infrastructure as Code files in a version control system?

   • AIt encrypts infrastructure code to protect sensitive data
   • BIt eliminates the need for configuration management tools
   • CIt provides a history of changes and enables collaboration through code review
   • DIt automatically deploys infrastructure changes to production
   Reveal Solution Discussion Select an answer first
6. 10expert · hard

   A team wants to integrate Chaos Engineering into their CI/CD pipeline, but they are concerned that running experiments on every commit will be too slow and may cause flaky failures. They want to balance continuous validation with pipeline speed. What is the best strategy?

   • ARun all experiments on every commit to ensure maximum coverage
   • BRun experiments only in production after deployment
   • CRun experiments only on release branches, not on feature branches
   • DRun a small, curated set of experiments on every commit, and a broader set on a nightly schedule
   Reveal Solution Discussion Select an answer first