Describe Machine Learning Benefits CERTIFIED-AI-EXPERT Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is a direct benefit of machine learning's scalability?

   • AScalability allows models to run without any computational resources.
   • BScalability ensures that models never require retraining as new data arrives.
   • CModels can process and learn from increasing volumes of data without manual code changes for each new pattern.
   • DModels automatically reduce the amount of data needed for training as they scale.
   Reveal Solution Discussion Select an answer first
2. 17application · medium · select all that apply

   A company wants to build a system to detect fraudulent transactions. They are comparing machine learning to traditional rule-based programming. Select all of the following that are advantages of machine learning over traditional programming in this context.

   • AProvides a clear, auditable trail of every decision made.
   • BCan learn complex patterns from transaction data without explicit rules.
   • CCan adapt to new fraud patterns as they emerge with minimal manual intervention.
   • DCan handle high-dimensional data with many interacting features.
   • ERequires less historical data to make accurate predictions.
   Check answers Discussion Select an answer first
4. 18expert · hard

   A social media platform wants to automatically flag hate speech in user posts. The language is constantly evolving with slang and coded terms, and the platform processes millions of posts daily. Which approach best demonstrates machine learning's advantage over traditional programming?

   • AMaintain a blacklist of offensive words and phrases that is updated by moderators.
   • BUse a rule-based system that flags posts containing certain keywords and exclamation marks.
   • CHire more human moderators to review all posts manually.
   • DTrain a natural language processing model on labeled examples of hate speech, allowing it to learn evolving language patterns.
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A retail company wants to automatically categorize thousands of customer support tickets by urgency and topic. The team currently uses a set of if-then rules that require manual updates whenever new product lines are added. Which approach best demonstrates the benefit of machine learning over traditional programming in this scenario?

   • AExpand the existing rule set with more conditions to cover each new product line, ensuring deterministic classification.
   • BDeploy a machine learning model trained on historical tickets to classify new tickets, allowing the system to adapt as more data is collected.
   • CUse a simple keyword search to match tickets to predefined categories, updating the keyword list monthly.
   • DOutsource ticket categorization to a third-party service that uses human reviewers, with no automated system.
   Reveal Solution Discussion Select an answer first
6. 20application · medium · select all that apply

   A manufacturing company wants to implement machine learning for quality control on an assembly line. Select all of the following that are valid machine learning applications for this scenario.

   • ARule-based system that rejects products based on weight thresholds.
   • BPredictive maintenance to forecast equipment failures and reduce downtime.
   • CComputer vision to detect surface defects on products in real time.
   • DNatural language processing to interpret machine error logs and suggest fixes.
   • EManual inspection by trained quality engineers for every product.
   Check answers Discussion Select an answer first