Describe Machine Learning Benefits CERTIFIED-AI-EXPERT Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   Which of the following is a common machine learning application in the healthcare industry?

   • AReplacing all doctors with automated systems that make treatment decisions.
   • BAnalyzing medical images to assist radiologists in detecting tumors.
   • CGuaranteeing that all diagnoses are 100% accurate.
   • DEliminating the need for patient records by predicting health outcomes directly.
   Reveal Solution Discussion Select an answer first
2. 22application · medium · select all that apply

   A logistics company is considering using machine learning to optimize delivery routes. Select all of the following that are genuine benefits of machine learning for this scenario.

   • AAutomatically adapt to changing traffic conditions using real-time data.
   • BImprove decision-making by identifying patterns in historical delivery data that are not obvious to humans.
   • CScale to handle an increasing number of delivery vehicles and routes without manual reprogramming.
   • DProvide a deterministic output that is identical for the same input every time.
   • EEliminate the need for any historical data to make predictions.
   Check answers Discussion Select an answer first
4. 23application · medium

   A healthcare provider wants to reduce patient readmission rates by identifying high-risk patients before discharge. They have electronic health records, lab results, and historical readmission data. Which machine learning use case best addresses this goal?

   • AUse a rule-based system that flags patients with specific diagnoses as high-risk.
   • BImplement a patient portal to improve communication and patient engagement.
   • CBuild a predictive model that scores each patient's readmission risk based on historical data, enabling targeted follow-up care.
   • DAnalyze readmission rates by department using historical averages to identify trends.
   Reveal Solution Discussion Select an answer first
5. 24expert · hard

   A retail chain wants to forecast demand for thousands of products across multiple stores to optimize inventory. They have historical sales data, promotions, and local events. The forecasting must be accurate enough to reduce stockouts and overstock, but the data includes seasonal trends and irregular spikes. Which machine learning approach is most appropriate?

   • AUse a rule-based system that increases orders for products with above-average sales last month.
   • BUse a simple moving average of the last 30 days of sales for each product.
   • CApply a classification model to predict whether sales will be high, medium, or low.
   • DTrain a time series forecasting model that captures seasonality and external factors like promotions and events.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   How does machine learning typically drive business value through cost reduction?

   • ABy eliminating the need for any IT infrastructure, since ML runs entirely in the cloud.
   • BBy guaranteeing that all business decisions become free of error, avoiding any financial loss.
   • CBy automating routine tasks that previously required manual effort, reducing operational labor costs.
   • DBy replacing all human employees in the organization, leading to zero labor costs.
   Reveal Solution Discussion Select an answer first