| Exam Code | 810-110 |
| Exam Name | Cisco AI Technical Practitioner (AITECH) |
| Vendor | Cisco |
| Total Questions | 50 |
| Last Updated | 26-Oct, 2026 |
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Free 810-110 Practice Questions
Explore 6 free practice questions for the Cisco 810-110 exam and review the answers and explanations to support your preparation.
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Question 1
Single answerWhat is a purpose of providing a JSON schema when configuring tool use for an Al agent?
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Option A:Correct
to map relationships between multiple tools in an agent workflow
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Option B:Correct
to define the required parameters and data types the agent must return
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Option C:Correct
to reduce the token count of the agent's system prompt
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Option D:Correct
to encrypt the payload before it is sent to the external service
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Correct Answer: B
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Question 2
Single answerWhich risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?
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Option A:Correct
data poisoning
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Option B:Correct
knowledge cut-off
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Option C:Correct
disinformation
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Option D:Correct
misinformation
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Correct Answer: B
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Question 3
Single answerA practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?
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Option A:Correct
expanding the total context window
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Option B:Correct
increasing the model temperature
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Option C:Correct
increasing the model sampling rate
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Option D:Correct
minimizing the input prompt size
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Correct Answer: D
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Question 4
Single answerWhy are embeddings essential to the retrieval phase of a RAG system?
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Option A:Correct
They represent semantic meaning.
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Option B:Correct
They compress the prompt length.
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Option C:Correct
They provide a keyword index.
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Option D:Correct
They reduce model hallucination.
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Correct Answer: A
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Question 5
Single answerWhich factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?
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Option A:Correct
release frequency of the model
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Option B:Correct
response creativity level of the model
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Option C:Correct
parameter count of the model
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Option D:Correct
training duration of the model
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Correct Answer: C
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Question 6
Single answerWhy are embeddings essential to the retrieval phase of a RAG system?
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Option A:Correct
They compress the prompt length.
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Option B:Correct
They provide a keyword index.
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Option C:Correct
They represent semantic meaning.
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Option D:Correct
They reduce model hallucination.
Show Answer & Explanation Hide Answer & Explanation
Correct Answer: C
Explanation
Embeddings convert text into numerical vectors that capture its meaning and context. During RAG retrieval, the system compares these vectors to find
information that is semantically relevant to the user's query, even when the exact keywords don't match.
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