Describe Machine Learning Benefits CERTIFIED-AI-EXPERT Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A logistics company wants to reduce fuel costs by optimizing delivery routes. They have years of historical delivery data including traffic patterns, weather, and delivery times. Which machine learning application would most directly deliver the business value of cost reduction?

   • AGenerate weekly reports of fuel usage using descriptive statistics from the historical data.
   • BTrain a model to predict delivery delays based on historical data, then use those predictions to adjust routes dynamically.
   • CImplement a fixed routing schedule based on the average delivery time for each region.
   • DPurchase more fuel-efficient vehicles to lower fuel consumption per mile.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which of the following is a typical machine learning application in the finance industry?

   • AEnsuring that no financial loss ever occurs by predicting market movements perfectly.
   • BAssessing credit risk by analyzing a borrower's financial history and transaction patterns.
   • CApplying a fixed interest rate to all loans regardless of borrower profile.
   • DStoring all financial transactions in a spreadsheet for manual review.
   Reveal Solution Discussion Select an answer first
4. 8expert · hard

   A telecommunications company wants to reduce customer churn by identifying subscribers likely to cancel. They have call detail records, billing history, and customer support interactions. The marketing team needs to target interventions efficiently, but the data is noisy and contains many irrelevant features. Which approach best balances accuracy and interpretability for this business problem?

   • ATrain a gradient boosting model with feature importance analysis to identify key churn drivers and predict at-risk customers.
   • BUse a deep neural network with all available features for maximum predictive accuracy, accepting lower interpretability.
   • CUse a rule-based system that flags customers with more than two late payments.
   • DApply a simple decision tree with a few hand-picked features for full interpretability, ignoring most of the data.
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   A financial services firm wants to automate the review of legal contracts to identify clauses that deviate from standard terms. The contracts vary in length and structure, and the firm wants to reduce manual review time. Which machine learning application would deliver the most business value?

   • AUse a keyword search to find contracts containing the word 'indemnification'.
   • BUse a rule-based system that flags contracts longer than 20 pages.
   • CCreate a template with standard clauses and manually compare each contract to the template.
   • DTrain a document classification model to categorize clauses and flag anomalies using natural language processing.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company wants to automatically approve or reject loan applications. The approval criteria involve complex, non-linear relationships among income, debt, credit history, and employment stability. Which approach best leverages machine learning's advantage over traditional programming?

   • ATrain a machine learning model on historical loan outcomes to learn the complex patterns that indicate creditworthiness.
   • BManually review each application using a team of financial analysts.
   • CUse a linear regression model that assumes a simple linear relationship between variables.
   • DWrite a set of if-then rules based on expert knowledge of credit risk.
   Reveal Solution Discussion Select an answer first