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

1. 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 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.
B) 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.
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.

2. How does adjusting the "Number of results" setting affect the agent's use of context from indexes?

A) It makes the agent ignore all context completely, resulting in outputs that are entirely disconnected from the indexed data, regardless of its relevance to the query or prompt provided.
B) It changes the number of chunks returned, impacting both the size of the grounding payload and the filtering of relevant information.
C) It modifies the similarity threshold for chunk retrieval and lowers the number of tokens used.
D) It selects which Orchestrator folder to use, determining the location of stored workflows and deciding which set of predefined rules will apply during data retrieval and processing.

3. A team is building an AI agent that drafts personalized marketing emails. The quality of the drafts depends on tone, alignment with brand voice, and personalization. What evaluation approach is best?

A) Evaluation using a character count threshold to assess message quality.
B) Deterministic evaluation using a checklist of key phrases.
C) Random sampling with A/B testing.
D) Model-graded evaluation to capture nuanced style and relevance.

4. A team is designing an agent to convert plain text meeting notes into a formatted agenda (e.g., structured bullet points). Despite providing a few example transformations in the prompt, the agent generates agendas in inconsistent formats. What critical step was likely overlooked?

A) Adding randomized formatting examples to test the agent's creativity.
B) Including constraints to limit the length of the agenda for simplicity.
C) Adding clear instructions detailing the output format.
D) Providing only examples without additional context about the task.

5. When you want a connector field value to be inferred dynamically at run time, which input method should you select in the activity tool?

A) Clear value
B) Argument
C) Static value
D) Prompt

Solutions: