The Role of LLM-Powered Agents in Automating Test Processes CT-GENAI Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is a typical output of an LLM-powered agent when it analyzes a failed test?

   • AA detailed report of the failure with a suggested root cause and possible next steps
   • BA list of all test cases that passed in the same run
   • CA confirmation that the test failure is not important
   • DA new test case that replaces the failed one
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2. 22application · medium

   A software company wants to integrate an LLM-powered testing agent into its existing Jenkins CI/CD pipeline. The agent should automatically trigger a specific subset of regression tests when a pull request is merged, and then post a summary of results back to the team's Jira tickets. Which integration approach BEST satisfies this requirement?

   • AConfigure a Jenkins webhook that calls the agent's API on the post-merge event, and have the agent invoke the test runner and update Jira via its respective APIs
   • BAsk a developer to manually run the agent after each merge and copy the results into Jira
   • CHave Jenkins run the full test suite on every commit and store the raw output in a shared folder for the agent to read later
   • DReplace the Jenkins pipeline with a standalone agent that runs on a schedule and manually emails test reports to the QA team
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4. 23application · medium

   A company uses Azure DevOps for its CI/CD pipelines and Azure Test Plans for test management. The team wants to deploy an LLM-powered agent that can automatically create test cases in Azure Test Plans and trigger a pipeline run when a new build is available. What is the PRIMARY integration mechanism the agent should use?

   • AThe Azure DevOps REST API to create test cases and queue pipeline runs
   • BAn email server that sends test case details to a human operator to enter manually
   • CA shared network drive where the agent drops test files and the pipeline picks them up
   • DA custom UI that replicates the Azure DevOps interface for the agent to interact with
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   What is a key advantage of using an LLM-powered agent to generate test cases from code?

   • AIt eliminates the need for any human review of the generated tests
   • BIt can analyze the code structure and suggest test cases that target specific functions or branches
   • CIt guarantees that all test cases will pass on the first run
   • DIt automatically fixes any bugs found in the code during generation
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6. 25foundation · easy

   Which of the following best describes the role of an LLM-powered agent in automating test processes?

   • AA tool that only executes pre-written test scripts without any intelligent decision-making
   • BA database that stores test results and generates reports for human testers
   • CA system that uses large language models to understand context and perform testing tasks with some degree of autonomy
   • DA programming framework that compiles test code into executable binaries
   Reveal Solution Discussion Select an answer first