Key Architectural Components and Concepts of LLM-Powered Test Infrastructure CT-GENAI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which of the following is a specific role that LLMs play in test automation?

   • AManaging the underlying cloud infrastructure
   • BReplacing the need for version control systems
   • CAutomatically deploying applications to production
   • DGenerating test scripts from natural language descriptions
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2. 12application · medium

   A company is deploying an LLM-powered test infrastructure in a multi-region setup. They need to ensure low latency for test teams in different geographic locations. What is the best infrastructure consideration?

   • ADeploy LLM inference endpoints in each region to serve local test teams.
   • BUse a single central LLM endpoint and route all traffic through a VPN.
   • CStore all test data in one region and access it remotely.
   • DUse a batch processing system that runs LLM inference nightly.
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4. 13expert · hard · select all that apply

   A company is planning the infrastructure for an LLM-powered test system. They need to consider scalability, latency, and resource management. Which of the following are important infrastructure considerations? (Select all that apply.)

   • AImplementing a feedback loop to improve model performance over time.
   • BMonitoring token usage and response times to manage costs.
   • CDeploying inference endpoints in multiple regions to reduce latency.
   • DUsing a fixed number of instances to simplify management.
   • EAuto-scaling of LLM inference endpoints based on demand.
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5. 14expert · hard · select all that apply

   A team is designing the data flow for an LLM-powered test infrastructure. They need to ensure that the pipeline is efficient and supports continuous improvement. Which of the following stages should be included in the data flow? (Select all that apply.)

   • APrompt generation from test requirements.
   • BFeedback loop to feed results back into prompt generation.
   • CA stage that stores results in a read-only archive.
   • DA stage that deletes all test data after execution.
   • ELLM inference to generate test artifacts.
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6. 15foundation · easy

   What is the primary input to the LLM processing stage in a test generation pipeline?

   • AThe test execution engine's configuration
   • BTest data and context such as requirements or code
   • CTest execution logs
   • DFinal test reports
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