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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q69-Q74):

NEW QUESTION # 69
In an AI-powered automation workflow, what is the function of an approval gate?

A. to ensure the internal logic of AI remains closed for modification
B. to apply human judgement before high-impact actions are executed
C. to trigger automated completion notifications to project stakeholders
D. to automatically block deployments if system health alerts are active

Answer: B

Explanation:
An approval gate adds human review before an automated workflow performs a high-impact action, helping ensure that AI-driven decisions are checked for correctness, risk, and business impact before execution.

NEW QUESTION # 70
What is a purpose of providing a JSON schema when configuring tool use for an AI agent?

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

Answer: D

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 # 71
What is a corporate data privacy risk when using a public AI chatbot?

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

Answer: D

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 # 72
What is hallucination in generative AI?

A. AI generating incorrect or fabricated information
B. GPU overheating
C. Network congestion
D. Database replication

Answer: A

Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.

NEW QUESTION # 73
What is the role of an MCP server in the MCP open standard?

A. to expose tools and resources to an AI model
B. to route requests between different AI providers
C. to provide the GUI for the end-user interaction
D. to host the LLM and perform token inference

Answer: A

Explanation:
An MCP server exposes external tools, data sources, and resources through a standardized interface so an AI model or agent can access capabilities beyond its built-in training data.

NEW QUESTION # 74
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