AI Tools in Workplace Workflows AIE Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A project management office wants to automate the summarization of weekly status reports from multiple teams. The reports are submitted as text in a shared document. Which AI tool is best suited for this task?

   • AA natural language processing tool that performs extractive or abstractive summarization.
   • BA predictive analytics tool that forecasts project completion dates.
   • CA computer vision tool that analyzes charts and graphs in the reports.
   • DA speech-to-text tool that transcribes team meetings.
   Reveal Solution Discussion Select an answer first
2. 17expert · hard

   A customer service department implemented an AI chatbot to reduce call volume. After three months, call volume is unchanged, but the chatbot is handling 40% of chats. The team also sees a 20% increase in average handling time for human agents. What is the most likely explanation?

   • AThe chatbot is not working correctly and is transferring all chats to humans.
   • BThe chatbot is handling simple queries, but the remaining calls are more complex, increasing handling time.
   • CThe chatbot is creating more work by generating incorrect answers that agents must correct.
   • DThe chatbot is not integrated with the CRM, so agents must re-enter data.
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A logistics company uses an AI route optimization tool. They want to evaluate whether the tool is improving delivery efficiency. Which comparison best assesses the tool's effectiveness?

   • ACompare the tool's cost to the cost of a competitor's tool
   • BCompare the number of routes generated by the tool to the number of drivers
   • CCompare the tool's uptime to the company's server uptime
   • DCompare average delivery time and fuel cost before and after implementing the tool
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A finance team wants to integrate an AI expense-report auditing tool. The tool flags unusual expenses for review. The team is worried about privacy of employee data. Which integration step is most important?

   • AShare all expense data with the AI vendor for training
   • BStore all expense data in a public cloud folder
   • CEnsure the AI tool complies with data protection regulations and anonymizes personal data where possible
   • DDisable the AI tool and audit expenses manually
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A manufacturing company wants to adopt an AI tool for predictive maintenance on its equipment. The plant operates 24/7, and unplanned downtime is very costly. The data science team proposes a model that requires retraining every week, but the IT department is concerned about the computational cost and the need for constant monitoring. Which approach best balances the benefits and challenges?

   • ARetrain the model only when a failure occurs, to reduce cost.
   • BDeploy the model across all machines immediately to maximize savings.
   • CStart with a pilot on a few critical machines, monitor performance, and gradually expand if the model proves reliable.
   • DUse a simpler model that does not require weekly retraining, even if accuracy is lower.
   Reveal Solution Discussion Select an answer first