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Domain 2Objective 2

AI Solution Development Methodologies and Lifecycle AAIA Practice Questions (Page 3)

Part of the AI Operations domain, which accounts for 46% of the AAIA exam.

33questions here
7free pages
9concepts
46%of the exam

Questions 11–15

  1. 11foundation · easy

    Which data preparation activity involves transforming raw data into a format that is suitable for model training, such as normalizing numerical values or encoding categorical variables?

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  2. 12expert · hard

    A data science team is developing a model to predict customer lifetime value. They have a dataset with 100,000 customers. During model development, they notice that the model's performance on the validation set is excellent, but the performance on the test set is much worse. The team has already checked for data leakage and confirmed that the splits are correct. What is the most likely cause of this discrepancy?

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  3. 13application · medium

    A government agency is developing an AI system to assist in benefit eligibility determinations. The agency must ensure that the system complies with administrative law requirements for transparency and appeal rights. Which governance practice should be implemented throughout the AI lifecycle?

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  4. 14foundation · easy

    Which deployment strategy involves running the AI model in a separate environment and making it accessible via an API for other systems to call?

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  5. 15foundation · easy

    Which of the following is an example of a non-functional requirement for an AI solution?

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