Analyze Requirements for AI-powered Business Solutions AB-100 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A real estate company wants to deploy an AI agent that provides property valuations to clients. The agent will use historical sales data, property characteristics, and current market trends. The historical sales data contains many missing values and duplicate entries. What should the architect do to ensure the agent's valuations are reliable?

   • AUse the data as-is and let the agent handle the missing values.
   • BUse only the most recent sales data to reduce the impact of missing values.
   • CClean the data by removing duplicates and imputing missing values before the agent uses it.
   • DIncrease the agent's confidence threshold to avoid uncertain valuations.
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2. 2application · medium

   A financial services firm is building an AI agent to automate the processing of loan applications. The agent will extract data from application forms, credit reports, and internal customer records. During testing, the agent frequently rejects valid applications because of duplicate customer records and inconsistent date formats. What should the architect do first?

   • AIncrease the agent's confidence threshold so it accepts more applications.
   • BSwitch to a different AI model that is more tolerant of messy data.
   • CAdd more training examples of valid applications to the agent's model.
   • DImplement a data cleaning pipeline that deduplicates records and standardizes date formats before the agent uses the data.
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4. 3application · medium

   A news organization wants to deploy an AI agent that summarizes daily news articles for subscribers. The agent will be grounded on articles from multiple sources. The organization requires that summaries be based on the latest news. What should the architect do to ensure the agent's summaries are timely?

   • ARefresh the article database every hour and ensure the agent only uses articles published within the last 24 hours.
   • BUse a static dataset of articles from the past year to provide a broad context.
   • CUpdate the article database weekly to reduce processing costs.
   • DLet the agent decide which articles are relevant based on its training data.
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5. 4foundation · easy

   What does 'data timeliness' refer to in the context of AI applications?

   • AThe data is stored in a time-series database
   • BThe data is collected at regular intervals
   • CThe data is available only during business hours
   • DThe data is up-to-date and reflects the current state of the business
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6. 5foundation · easy

   Why is data timeliness critical for AI-powered business solutions?

   • ATimely data is always stored in the cloud
   • BTimely data is always more accurate than outdated data
   • COutdated data can lead to decisions based on obsolete information
   • DTimely data is always free from bias
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