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

1. What configuration options are available for setting up Context Grounding in UiPath?

A) Context Grounding requires default settings without any options for index creation or LLM selection.
B) Context Grounding setup relies entirely on manual indexing and lacks automated sync capabilities.
C) Configuration is limited to enabling Context Grounding without any integration with Orchestrator or folder permissions.
D) You can configure Context Grounding by creating indexes in Orchestrator, managing folder-level permissions, selecting an LLM from the LLM Gateway, and syncing data using the Update Context Grounding Index activity.

2. A developer is working on fine-tuning an LLM for generating step-by-step automation guides. After providing a detailed example prompt, they notice inconsistencies in the way the LLM interprets certain technical terms. What could be the reason for this behavior?

A) The LLM's interpretation is solely based on the frequency of terms within the training dataset, rendering technical nuances irrelevant during generation.
B) The inconsistency is related to the token limit defined for the prompt's length, which affects the LLM's ability to complete a response rather than its understanding of technical terms.
C) The LLM does not rely on tokenization for understanding prompts; instead, misinterpretation arises from inadequate pre-programmed definitions of technical terms.
D) The LLM's tokenization process may have split complex technical terms into multiple tokens, causing slight variations in how the model interprets and weights their relationships within the context of the prompt.

3. Why is an agent story important in the development life-cycle?

A) An unclear agent story helps SMEs and stakeholders understand the potential risks associated with the agent
B) A detailed agent story is only necessary when showcasing the agent's functionality to key stakeholders, rather than guiding the development process
C) A good agent story helps the developers who will build the agent to focus on the essential features that deliver value
D) A poorly defined agent story enables developers to identify improvement opportunities

4. What is one of the key benefits of providing RAG as a service to UiPath generative AI experiences?

A) It directly increases the LLM context window size without any interaction with knowledge bases.
B) It exclusively provides access to historical data sources without supporting real-time updates.
C) It reduces the risk of hallucination by referencing ground truth data stores.
D) It eliminates the need for knowledge bases by integrating all proprietary data directly into generative applications.

5. How long does a key-value pair stored in Agent Memory remain available before it expires by default?

A) 3 months
B) 12 months
C) 6 months
D) Until the agent version is updated, after which key-value pairs are automatically cleared

Solutions: