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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.

  1. Question 1

    Single answer
    What is a purpose of providing a JSON schema when configuring tool use for an Al agent?
    • Option A:

      to map relationships between multiple tools in an agent workflow

      Correct
    • Option B:

      to define the required parameters and data types the agent must return

      Correct
    • Option C:

      to reduce the token count of the agent's system prompt

      Correct
    • Option D:

      to encrypt the payload before it is sent to the external service

      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

  2. Question 2

    Single answer

    Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?

    • Option A:

      data poisoning

      Correct
    • Option B:

      knowledge cut-off

      Correct
    • Option C:

      disinformation

      Correct
    • Option D:

      misinformation

      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

  3. Question 3

    Single answer

    A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

    • Option A:

      expanding the total context window

      Correct
    • Option B:

      increasing the model temperature

      Correct
    • Option C:

      increasing the model sampling rate

      Correct
    • Option D:

      minimizing the input prompt size

      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

  4. Question 4

    Single answer

    Why are embeddings essential to the retrieval phase of a RAG system?

    • Option A:

      They represent semantic meaning.

      Correct
    • Option B:

      They compress the prompt length.

      Correct
    • Option C:

      They provide a keyword index.

      Correct
    • Option D:

      They reduce model hallucination.

      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

  5. Question 5

    Single answer

    Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?

    • Option A:

      release frequency of the model

      Correct
    • Option B:

      response creativity level of the model

      Correct
    • Option C:

      parameter count of the model

      Correct
    • Option D:

      training duration of the model

      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

  6. Question 6

    Single answer

    Why are embeddings essential to the retrieval phase of a RAG system?

    • Option A:

      They compress the prompt length.

      Correct
    • Option B:

      They provide a keyword index.

      Correct
    • Option C:

      They represent semantic meaning.

      Correct
    • Option D:

      They reduce model hallucination.

      Correct
    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.