Describe Convergence of AI, High-Performance Computing, and Analytics CERTIFIED-AI-EXPERT Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is the primary role of high-performance computing (HPC)?

   • ATo provide a user interface for interacting with software applications
   • BTo manage and organize data in relational databases
   • CTo solve complex computational problems that are beyond the capability of standard computers
   • DTo secure networks from unauthorized access
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A defense contractor uses AI to analyze radar signals. The AI model is trained on a small GPU server, but they need to train on a much larger dataset to improve accuracy. They have access to a classified HPC environment. What is the primary benefit of using the HPC environment for this AI training?

   • AIt provides the massive parallel compute needed to train on the larger dataset in a reasonable time
   • BIt automatically improves the accuracy of the AI model without any code changes
   • CIt provides a secure storage location for the radar data
   • DIt allows the AI model to run in real time on the radar system
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   How does high-performance computing (HPC) contribute to AI workloads?

   • AHPC is used only for AI inference, not training
   • BHPC automatically generates AI models without human input
   • CHPC replaces the need for data storage in AI systems
   • DHPC provides the computational power needed to train complex AI models
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A retail company wants to move from describing past sales trends to predicting future demand and automatically adjusting inventory orders. They currently use a business intelligence (BI) dashboard that shows historical sales. What should they implement to achieve this shift?

   • AUse a data warehouse to store more granular transaction data for ad-hoc querying
   • BIntegrate a machine learning model that forecasts demand and recommends order quantities, feeding the BI dashboard
   • CAdd more historical data to the existing BI dashboard to improve the accuracy of past sales reports
   • DReplace the BI dashboard with a high-performance computing cluster to run complex simulations of customer behavior
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A social media company analyzes user behavior data to improve engagement. The data is massive and grows rapidly. Their current analytics infrastructure is struggling to keep up. They need a solution that can scale with the data. What is the best way to use HPC principles to solve this?

   • AArchive older data to reduce the volume that needs to be processed
   • BImplement a horizontally scalable analytics platform that distributes data and computation across many nodes
   • CUse a machine learning model to predict user behavior without analyzing all the data
   • DPurchase a larger server with more memory and faster CPUs to handle the data
   Reveal Solution Discussion Select an answer first