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UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:

1. A company is integrating an Agent into its customer support workflow to detect sentiment and classify complaints (e.g., "Billing issue", "Product defect"). However, the Agent's responses often miss subtle emotional cues like frustration or urgency. What change to the prompt design would most improve the quality of sentiment detection?

A) Provide vague constraints in an emotional tone.
B) Focus only on complaint categorization and rely on post-processing to handle emotional nuance.
C) Include explicit context explaining the goal of sentiment analysis and define constraints for identifying urgency.
D) Remove detailed task instructions to give the Agent more freedom in interpreting customer messages.

2. You are part of a Procurement team that often struggles with manually reviewing and comparing quotations from different vendors. This process is time-consuming, prone to human errors, and lacks real-time price validation. Keeping up with internal rules and market standards makes things even more difficult. This can cause problems and cost overruns. How agents can help?

A) Agents automate price validation by extracting item details from quotations, use tools to research market prices, checking policy compliance, and cross-verifying prices against benchmarks before sharing results with procurement officers for better decision-making.
B) Agents focus on sending reminders for deadlines but do not automate price analysis, extract item details, or validate compliance with internal rules, slowing down decision-making for procurement officers.
C) Agents only store vendor quotations without cross-verifying prices, researching market trends, or checking compliance with policies, leaving procurement officers to manually manage the entire validation process.
D) Agents rely on preloaded prices set by vendors and do not research market rates, verify compliance, or provide detailed validation, leading to potential errors and inefficiencies during quotation reviews.

3. When would it be most appropriate to use Web Search instead of Web Reader in an agent workflow?

A) When extracting time-sensitive data from a secure internal system.
B) When the user needs a summarized overview from multiple public sources without a specific URL.
C) When accessing and filtering information already embedded within a private enterprise knowledge base.
D) When detailed, structured data is required from a known supplier's webpage.

4. When adding an index for querying data stored in CSV files, what advanced feature does UiPath Context Grounding provide to optimize retrieval?

A) Automatic conversion of CSV data into native XLSX files for enhanced compatibility.
B) Support for structured queries tailored specifically for CSV data.
C) Streaming support for real-time ingestion and CSV query execution without indexing.
D) Embedding data from CSV files into JSON templates for improved semantic similarity.

5. An agent is built to extract customer feedback sentiment. You want to show the LLM how to classify it as
'Positive', 'Neutral', or 'Negative'. Which few-shot design is most helpful?

A) Input: "The app is okay I guess." # Output:
B) Input: "I love the new design, very intuitive!" Output: "Positive"
Input: "Nothing special, just works." Output: "Neutral"
Input: "Terrible experience, won't use again." Output: "Negative"
C) Options: List words like: "great, okay, bad" and map them to tone.
D) "Text" Use a multiple-choice table with numerical ratings from 1-5.

Solutions: