Analyze Requirements for AI-powered Business Solutions AB-100 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which of the following is an example of using an AI agent to automate a repetitive business task?

   • AAn agent that negotiates merger agreements with legal counsel
   • BAn agent that decides employee promotions based on performance reviews
   • CAn agent that designs a new corporate logo based on brand guidelines
   • DAn agent that generates a weekly sales report from structured data
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A transportation company wants to deploy an agent that automatically reroutes delivery trucks based on live traffic conditions. The agent will use traffic data from a third-party provider that updates every 15 minutes. The company's internal route data is updated only once a day. What should the team do to ensure the agent makes effective rerouting decisions?

   • ADelay rerouting decisions until the next daily update.
   • BRely on the daily route data and accept that rerouting may be suboptimal.
   • CIncrease the frequency of internal route data updates to match the traffic data cadence.
   • DUse only the traffic data and ignore the internal route data.
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   An insurance company is building an agent to assist claims adjusters in estimating repair costs. The agent will use historical claims data. The team discovers that some claims were entered with incorrect zip codes, leading to wrong regional cost factors. What should the team do to ensure the agent's estimates are accurate?

   • ACorrect the zip codes in the historical data before using it to train or ground the agent.
   • BRemove all claims with incorrect zip codes from the dataset.
   • CAdjust the agent's output to add a margin for error.
   • DUse the data as-is and rely on the agent to identify and ignore incorrect zip codes.
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5. 19application · medium

   A logistics company wants to deploy an agent that automatically processes shipment exception reports. The agent will flag packages that are likely to be delayed and suggest rerouting options. The data source is a legacy system that stores shipment status codes in free-text fields, and some records contain duplicate entries from manual corrections. The team plans to use the data as-is to avoid delaying the project. What should the team do first to ensure the agent produces reliable recommendations?

   • AAdd more historical shipment data to improve the agent's pattern recognition for delays.
   • BConfigure the agent to only flag shipments that have been delayed for more than 24 hours.
   • CClean the data by removing duplicates and standardizing status codes before training or grounding the agent.
   • DIncrease the frequency of data refreshes so the agent always sees the latest shipment statuses.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A human resources department wants to automate the initial screening of job applications. The AI agent will review resumes and rank candidates based on predefined criteria. The department updates the criteria quarterly. What should the architect configure to ensure the agent's screening remains accurate?

   • AHave the agent learn the criteria from the resumes it processes.
   • BIncrease the agent's processing speed to handle more applications.
   • CUse the original criteria for all applications to maintain consistency.
   • DUpdate the agent's grounding data with the latest criteria each quarter and validate the resume data for cleanliness.
   Reveal Solution Discussion Select an answer first