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ISQI ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0 Sample Questions:

1. What are the three key phases in adopting GenAI in a test organization?

A) Training; certification; outsourcing
B) Prototype; pilot; decommission
C) Discovery; initiation and usage definition; utilization and iteration
D) Planning; execution; sign-off

2. You are using an LLM to assist in analyzing test execution trends to predict potential risks. Which of the following improvements would BEST enhance the LLM's ability to predict risks and provide actionable alerts?

A) Emphasize constraints that focus on deviations that could impact release timelines or quality gates.
B) Expand the output format to include risk predictions with severity levels, recommended actions, and a timeline for team intervention based on trend analysis.
C) Specify that the role is a test analyst with expertise in predictive analytics and risk management.
D) Add an instruction to calculate statistical variance and highlight tests that deviate by more than 20% from baseline metrics.

3. You must generate test cases for a new payments rule. The system includes API specifications stored in a vector database and prior tests in a relational database. Which of the following sequences BEST represents the correct order for applying a Retrieval-Augmented Generation (RAG) workflow?
i. Retrieve semantically similar specification chunks from the vector database ii. Feed both retrieved datasets as context for the LLM to generate new test cases iii. Retrieve relevant historical cases from the relational database iv. Submit a focused query describing the new test requirement

A) i -> iv -> iii -> ii
B) iv -> i -> iii -> ii
C) iv -> iii -> i -> ii
D) iii -> iv -> i -> ii

4. The model flags anomalies in logs and also proposes partitions for input validation tests. Which metrics BEST evaluate these two outcomes together?

A) Precision for anomaly identification and recall for coverage of valid/invalid partitions
B) Diversity for anomaly identification and precision for partitions
C) Accuracy for anomaly detection and Precision for coverage of valid/invalid partitions
D) Time efficiency for anomaly detection and accuracy for coverage of valid/invalid partitions

5. Which factor MOST influences the overall energy consumption of a Generative AI model used in software testing tasks?

A) The duration of user sessions primarily affects latency but not power efficiency
B) The location of the data center determines model bias and accuracy levels
C) The number of tokens processed directly determines the carbon intensity of each query
D) The type of cloud platform affects processing speed but not total energy draw

Solutions: