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UiPath Certified Professional Agentic Automation Associate (UiAAA) Sample Questions:
1. A business is looking to automate its workflows and has both structured, repetitive tasks (like data entry) and unstructured, exception-heavy processes (such as responding to diverse customer queries). How should they combine agents and robots (RPA) to achieve optimal automation results?
A) Use robots (RPA) for the structured, repetitive tasks, leveraging their rule-based approach for reliability and precision, while agents handle the unstructured processes by using their adaptive decision-making capabilities.
B) Use agents for the structured, repetitive tasks, as they can follow deterministic rules efficiently while robots (RPA) handle unstructured workflows requiring adaptability, decision-making capabilities and contextual awareness.
C) Use agents exclusively, as they can cover both structured workflows and dynamic environments due to their probabilistic and adaptive nature.
D) Use robots (RPA) exclusively, as they are capable of adapting to dynamic workflows with exception handling and learning capabilities.
2. 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) Options: List words like: "great, okay, bad" and map them to tone.
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) "Text" Use a multiple-choice table with numerical ratings from 1-5.
D) Input: "The app is okay I guess." # Output:
3. How long does a key-value pair stored in Agent Memory remain available before it expires by default?
A) 3 months
B) 6 months
C) Until the agent version is updated, after which key-value pairs are automatically cleared
D) 12 months
4. For what primary reason should you supply a description for every input and output argument in an agent?
A) Argument descriptions are required only for input arguments; output arguments are inherently self- explanatory and do not benefit from them.
B) Descriptions cause Orchestrator triggers to pre-populate the arguments automatically, eliminating manual mapping.
C) Clear descriptions help the agent understand how to use each argument effectively while generating or returning results.
D) Adding descriptions forces Studio Web to treat all arguments as mandatory fields that block deployment if left empty.
5. When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?
A) Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
B) Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
C) Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically.
D) Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |

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