AI Concepts CERTIFIED-TECHNOLOGY-SOLUTIONS-PROFESSIONAL Practice Questions (Page 7)

Questions 31–34

1. 31application · medium

   A retail company is building a customer churn prediction model. They have historical purchase data, but the data contains many missing values and inconsistent formats. The data science team wants to ensure the model is reliable. What is the most important step before training?

   • ATraining the model on raw data to avoid bias
   • BSelecting a more complex algorithm to handle messy data
   • CData cleaning and preprocessing to handle missing values and standardize formats
   • DIncreasing the number of training epochs
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2. 32foundation · easy

   Which activity is part of the monitoring stage of the AI model lifecycle?

   • ATracking model performance metrics over time
   • BLabeling new training data
   • CDeploying the model to a production environment
   • DSelecting the model architecture
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4. 33foundation · easy

   Which hardware component is most critical for accelerating the parallel computations required by deep learning training?

   • ANVMe SSD
   • BHigh-core-count CPU
   • CGPU
   • DHigh-speed network interface
   Reveal Solution Discussion Select an answer first
5. 34application · easy

   A data science team is explaining to management the difference between traditional machine learning and deep learning. They are working on a project that involves recognizing objects in images. The team notes that deep learning requires more data and compute but often achieves higher accuracy. Which statement accurately describes the relationship between AI, machine learning, and deep learning?

   • AMachine learning is a subset of deep learning, which is a subset of artificial intelligence
   • BDeep learning is a subset of machine learning, which is a subset of artificial intelligence
   • CArtificial intelligence and machine learning are synonymous terms
   • DDeep learning does not require data or compute resources
   Reveal Solution Discussion Select an answer first