Objective 1.4 Analyze Machine Learning System Use Cases AIP-210 Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A streaming service wants to implement a recommendation system to increase user engagement. They estimate that a 5% increase in engagement will lead to higher subscription retention. What is the most direct business impact metric to track?

   • AUser engagement rate and subscription retention
   • BServer uptime
   • CNumber of features in the model
   • DModel training time
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A utility company wants to predict energy consumption for the next week to optimize power generation. They have historical consumption data and weather forecasts. Which ML use case and task best fits this scenario?

   • ARecommendation systems, classification
   • BCustomer segmentation, clustering
   • CFraud detection, classification
   • DDemand forecasting, regression
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A retail company wants to implement an ML system to recommend products to customers. They expect it to increase sales by 10%. The project will require significant investment in data infrastructure and model development. What should the company evaluate to justify the investment?

   • AThe number of customers who will see the recommendations
   • BThe time required to train the model
   • CThe accuracy of the model on historical data
   • DThe potential increase in revenue against the total cost of implementation and maintenance
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A financial services firm wants to use ML to approve loan applications. They must comply with regulations that require explanations for credit decisions. Which constraint is most critical to address during the design phase?

   • AThe number of features used in the model
   • BThe choice of programming language
   • CModel interpretability to provide explanations for decisions
   • DThe speed of model training
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A manufacturer wants to implement predictive maintenance on their machines. They expect to reduce downtime by 20%. The project requires installing sensors on all machines and building a monitoring system. What should they include in their business impact analysis?

   • AThe number of data scientists hired
   • BThe number of machines in the factory
   • CThe cost of sensors and monitoring systems compared to the savings from reduced downtime
   • DThe type of machine learning algorithm used
   Reveal Solution Discussion Select an answer first