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Domain 2Objective 5

Determine the Requirements Needed for Model Generation CERTIFIED-AI-EXPERT Practice Questions (Page 3)

Part of the AI Lifecycle domain, which accounts for 27% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–16 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here
5free pages
5concepts
27%of the exam

Questions 11–15

  1. 11application · medium

    A university is building a model to predict student dropout rates. The administration wants the model to identify at-risk students early, but the faculty union is concerned about the model being used to evaluate teaching performance. The data available includes grades, attendance, and financial aid records. What is the first step the project team should take?

    Select an answer first
  2. 12application · medium

    A retail chain is planning to build a demand-forecasting model. The sales team wants the model to predict weekly demand for each product, while the supply chain team needs daily predictions to manage inventory. The IT department has a budget for one model deployment. What should the project team do first?

    Select an answer first
  3. 13application · medium

    A transportation company is building a model to predict traffic congestion. The data sources include real-time GPS feeds from vehicles, historical traffic patterns, and weather data. The GPS feeds arrive every 5 seconds, while the weather data is updated hourly. The model must produce predictions every 10 minutes. What is the most important data velocity consideration?

    Select an answer first
  4. 14application · medium

    A retail company is training a recommendation model on 10 TB of clickstream data. The training job must complete within 24 hours, and the team has a limited budget. The data is stored in an on-premises NetApp AFF array, and the training will run on a small GPU cluster. The data scientists want to use a distributed training framework. What is the most important infrastructure consideration before starting?

    Select an answer first
  5. 15application · medium

    A research lab is training a computer-vision model on 20 TB of high-resolution images. The training cluster has 16 GPUs, and the data is stored on a NetApp FAS storage system. The data scientists report that GPU utilization is only 40% during training. What is the most likely cause?

    Select an answer first
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