Cisco AI Technical Practitioner exam test & 810-110 test training material

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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q51-Q56):

NEW QUESTION # 51
Why is a Human-in-the-Loop workflow essential when an AI agent has write access to a production database?

A. to provide administrative credentials required to bypass MFA requirements
B. to allow the AI agent to automatically resolve transaction deadlocks
C. to allow the AI agent to bypass the integrity constraints of the database
D. to serve as a safety gate against unintended data modifications

Answer: D

Explanation:
A Human-in-the-Loop workflow adds human approval before the agent performs high-risk write operations, helping prevent accidental, incorrect, or harmful changes to production data.

NEW QUESTION # 52
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 encrypt the payload before it is sent to the external service
C. to define the required parameters and data types the agent must return
D. to map relationships between multiple tools in an agent workflow

Answer: C

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 # 53
What does NLP stand for in AI?

A. Neural Link Protocol
B. Network Layer Processing
C. Native Logic Programming
D. Natural Language Processing

Answer: D

Explanation:
NLP enables computers to understand and generate human language.

NEW QUESTION # 54
Which Cisco technology is commonly associated with network observability and telemetry?

A. NetFlow
B. Spanning Tree Protocol
C. VLAN Trunking Protocol only
D. RIP v1

Answer: A

Explanation:
NetFlow provides visibility into traffic flows and is widely used for monitoring, analytics, and AI- driven operations.

NEW QUESTION # 55
What is aggregation bias in the context of AI-assisted data analysis?

A. when AI uses summary statistics instead of raw data
B. when a summary masks subpatterns
C. when data is omitted due to incompatible formats
D. when AI fails to combine conflicting patterns

Answer: B

Explanation:
Aggregation bias occurs when summarized or combined data hides meaningful differences across subgroups, causing important subpatterns to be missed.

NEW QUESTION # 56
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