Analyze Requirements for AI-powered Business Solutions AB-100 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A regional bank wants to deploy an AI agent that answers loan officers' questions about current interest rates and eligibility criteria. The bank's rate sheet is updated daily at 9:00 AM, but the eligibility policy document is revised quarterly. The agent will be grounded in both documents. What should the architect do to ensure the agent provides accurate responses?

   • AIngest both documents once and rely on the agent's training data for any updates.
   • BRefresh both documents daily to be safe, even though the policy rarely changes.
   • CUse only the eligibility policy as the grounding source because it is more stable.
   • DRefresh the rate sheet daily and the eligibility policy quarterly, and verify both are clean and correctly formatted before ingestion.
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2. 12expert · hard

   A retail chain wants to deploy an agent to assist store managers with inventory replenishment decisions. The agent will use sales data, weather forecasts, and local event schedules. The sales data is updated daily, weather forecasts are updated hourly, and event schedules are updated weekly. The managers want the agent to recommend order quantities that minimize both stockouts and overstock. What should the team do to ensure the agent's recommendations are sound?

   • ARun the agent every hour to incorporate the latest weather data.
   • BUse only the sales data because it is the most reliable source.
   • CUse only the weather and event data to predict demand.
   • DIntegrate all data sources with their respective update frequencies and set the agent to run daily after the sales data update.
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4. 13foundation · easy

   Why is data accuracy important for AI-powered business solutions?

   • AAccurate data ensures that AI outputs are reliable and trustworthy
   • BAccurate data is only needed for machine learning, not for rule-based agents
   • CAccurate data eliminates the need for human oversight of AI systems
   • DAccurate data guarantees that AI will make perfect decisions
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5. 14expert · hard

   A manufacturing company wants to deploy an AI agent that automates inventory reordering. The agent will run continuously during business hours and must query an on-premises inventory database. The company's IT team is concerned about the database being unavailable during maintenance windows. What should the architect recommend to ensure the agent can operate reliably?

   • AMove the inventory database to a cloud-based database with high availability and automatic failover.
   • BConfigure the agent to cache the last known inventory levels and use them if the database is unavailable.
   • CSchedule the agent to run only when the database is guaranteed to be available, such as outside maintenance windows.
   • DImplement a retry and fallback mechanism that queues reorder requests during downtime and processes them when the database is back online.
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6. 15application · medium

   A human resources department wants to deploy an agent that screens resumes for open positions. The agent will use a database of resumes that includes inconsistent formatting, missing fields, and duplicate submissions from the same candidate. What should the team do before deploying the agent?

   • ARemove all resumes that have missing fields.
   • BUse the resumes as-is because the agent can handle unstructured data.
   • CAsk candidates to resubmit their resumes in a standard format.
   • DStandardize the resume data by parsing it into consistent fields and removing duplicates.
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