AI Concepts CERTIFIED-TECHNOLOGY-SOLUTIONS-PROFESSIONAL Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is the primary purpose of checkpointing in AI training?

   • ATo compress the model for faster inference
   • BTo increase the learning rate during training
   • CTo reduce the amount of training data needed
   • DTo save the model's state periodically so training can resume after a failure
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Why is data quality critical in AI projects?

   • AHigh-quality data guarantees the model will be 100% accurate.
   • BData quality is irrelevant if the model is deep learning.
   • CData quality only affects the speed of training, not the model's accuracy.
   • DPoor data quality can lead to biased or inaccurate model predictions.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   Which stage of the AI model lifecycle involves evaluating the model's performance on a separate dataset that was not used during training?

   • ADeployment
   • BData collection
   • CValidation
   • DTraining
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which storage architecture is specifically designed to provide high aggregate bandwidth for large-scale AI training by distributing data across multiple servers?

   • AParallel file system
   • BDirect-attached storage (DAS)
   • CObject storage
   • DNetwork-attached storage (NAS)
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   Which AI deployment model combines on-premises infrastructure with public cloud services?

   • APublic cloud
   • BEdge
   • CHybrid
   • DOn-premises
   Reveal Solution Discussion Select an answer first