AI and ML Fundamentals CLOUD-DIGITAL-LEADER Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A manufacturing company has a BI system that tracks production metrics like output, defect rates, and downtime. They now want to predict when a machine is likely to fail so they can perform maintenance proactively. What is the key difference between their current BI system and the new ML solution?

   • ABI can automatically take corrective actions, while ML cannot.
   • BBI describes what happened, while ML predicts what will happen.
   • CML requires less data than BI to be effective.
   • DBI is faster than ML at processing data.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   Which scenario best exemplifies machine learning in action?

   • AA system that improves its spam detection accuracy by analyzing new examples of spam emails.
   • BA program that applies a fixed set of rules to approve or reject loan applications.
   • CA calculator that performs arithmetic operations based on user input.
   • DA database that uses SQL queries to retrieve customer records.
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A bank is developing an ML model to approve loan applications. They have historical data that contains many incomplete records and some duplicate entries. What is the most important step before training the model?

   • AIncrease the number of features to make the model more complex.
   • BUse a more powerful ML algorithm to compensate for data issues.
   • CDeploy the model immediately and let it learn from real-time feedback.
   • DClean the data by handling missing values and removing duplicates.
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A media company has millions of user-generated video clips. They want to automatically generate captions and tags for each video to improve search and accessibility. What is the primary business value of using ML for this task?

   • AIt reduces the need for data storage because ML compresses video files.
   • BIt eliminates the need for any human oversight in content moderation.
   • CIt guarantees 100% accuracy in caption generation.
   • DIt can process unstructured data at scale, which would be impractical manually.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   What is a key principle of responsible AI?

   • AUsing AI to replace human decision-making entirely.
   • BPrioritizing speed of deployment over safety and ethics.
   • CEnsuring AI systems are fair, transparent, and accountable.
   • DMaximizing model complexity to achieve the highest possible accuracy.
   Reveal Solution Discussion Select an answer first