Determine the Requirements Needed for Model Generation CERTIFIED-AI-EXPERT Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A media company wants to build a content-recommendation model. The marketing team wants the model to increase click-through rate (CTR) by 20%, while the engineering team requires that the model's inference time stay under 50 ms to avoid user-perceived lag. The data team has access to 5 TB of user interaction history. What should the team define as the primary success metric?

   • AThe size of the training dataset (5 TB), because more data always leads to better recommendations.
   • BAn inference time under 50 ms, because the engineering team's constraint is non-negotiable.
   • CA combined target of 20% CTR improvement while maintaining inference time under 50 ms.
   • DA 20% increase in CTR, because that is the business outcome the marketing team cares about.
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2. 7application · medium

   An e-commerce company is building a churn-prediction model. The available data includes customer demographics, purchase history, and support tickets, but the support tickets are free-text and have inconsistent formatting. The business wants the model to identify customers likely to churn within the next 30 days. What is the most important data requirement to address?

   • AChange the prediction window from 30 days to 90 days to make the model easier to train.
   • BIgnore the support tickets and train only on structured data like demographics and purchase history.
   • CStandardize the support-ticket text so it can be used as a feature in the model.
   • DCollect more demographic data from external sources to increase the dataset size.
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4. 8application · medium

   A multinational corporation is developing a facial-recognition model for employee access control. The model will be deployed in the EU, where the General Data Protection Regulation (GDPR) applies. The HR department wants to use photos of all employees, but the legal team has raised concerns about biometric data processing. What is the most critical compliance requirement?

   • AUse a third-party vendor to process the data so the company is not responsible for compliance.
   • BEnsure the training data is stored on-premises to avoid any cross-border data transfer.
   • CObtain explicit consent from each employee before processing their biometric data.
   • DAnonymize the photos so they no longer count as personal data.
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5. 9foundation · easy

   Which infrastructure component is most critical for training a deep learning model that uses large matrices and requires high-throughput parallel computation?

   • ALow-latency network switches
   • BGPU-accelerated compute
   • CHigh-capacity object storage
   • DHigh-speed NVMe storage
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6. 10foundation · easy

   Which of the following is a non-functional requirement for a model generation project?

   • AThe model must output a confidence score for each prediction.
   • BThe model must accept input in CSV and JSON formats.
   • CThe model must achieve at least 95% accuracy on the validation dataset.
   • DThe model must classify customer emails into at least 10 predefined categories.
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