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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	15%	- Defensive prompting and error mitigation - Prompt design principles and best practices - Advanced prompting techniques
Topic 2: Agentic AI	15%	- Agentic AI vs Generative AI use cases - Agent design principles and capabilities - Human-in-the-loop strategies - Model Context Protocol (MCP) framework
Topic 3: Generative AI Models	20%	- Model selection and evaluation in AI hubs - Model hosting options and trade-offs - Context windows, token limits and response management - Generative AI model families and use cases
Topic 4: Data Research and Analysis	15%	- Data visualization and insight generation - Data collection, preparation and preprocessing - Data quality, bias and validation
Topic 5: AI Ethics and Security	20%	- Responsible AI principles - AI-specific threats, risks and misinformation - Data privacy and security in AI systems - Compliance and governance frameworks
Topic 6: AI for Code and Workflow Optimization	15%	- Automation and workflow enhancement - Integration of AI tools in development processes - AI-assisted code generation and improvement

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Cisco AI Technical Practitioner Sample Questions (Q17-Q22):

NEW QUESTION # 17
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

A. expanding the total context window
B. increasing the model temperature
C. increasing the model sampling rate
D. minimizing the input prompt size

Answer: D

Explanation:
Token-based billing is driven by the number of input and output tokens processed, so reducing the prompt size lowers the total tokens consumed across high-volume summarization requests.

NEW QUESTION # 18
What is a purpose of providing a JSON schema when configuring tool use for an AI agent?

A. to encrypt the payload before it is sent to the external service
B. to define the required parameters and data types the agent must return
C. to reduce the token count of the agent's system prompt
D. to map relationships between multiple tools in an agent workflow

Answer: B

Explanation:
A JSON schema defines the structure, required fields, and data types for tool calls, helping the agent provide valid inputs or outputs that the external tool can process reliably.

NEW QUESTION # 19
Which Cisco platform provides AI-powered security analytics?

A. Cisco Packet Tracer
B. Cisco UCS Manager only
C. Cisco IOS ROMMON
D. Cisco SecureX

Answer: D

Explanation:
Cisco SecureX integrates security visibility, analytics, and automation using AI-driven insights.

NEW QUESTION # 20
What is a corporate data privacy risk when using a public AI chatbot?

A. The data will be encrypted at rest instead of in transit.
B. The input data may be used for model training.
C. The AI will provide hallucinated technical specifications.
D. The AI will provide biased technical advice.

Answer: B

Explanation:
A public AI chatbot may retain submitted corporate data or use it to improve model training, which can expose confidential, proprietary, or regulated information outside the organization's control.

NEW QUESTION # 21
What happens when the input provided to an LLM exceeds its context window limit?

A. The model switches to a different algorithm.
B. The model increases its context window size.
C. The model loses the earliest part of the text.
D. The model caches the overflow data.

Answer: C

Explanation:
When input exceeds the context window, the model cannot process all provided text at once, so earlier content may be truncated or pushed out of the active context.

NEW QUESTION # 22
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