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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is the role of embeddings in AI systems?

A. Assigning IP addresses
B. Encrypting traffic
C. Representing data numerically in vector space
D. Compressing logs

Answer: C

NEW QUESTION # 16
Which metric is commonly used to evaluate classification models?

A. Accuracy
B. Voltage
C. Throughput only
D. Packet TTL

Answer: A

Explanation:
Accuracy measures how many predictions were correct out of total predictions.

NEW QUESTION # 17
A practitioner uses self-consistency by running the same prompt three times and comparing the results. What is the goal of this strategy?

A. to verify the output reliability
B. to bypass the context window
C. to increase the model creativity
D. to increase the response speed

Answer: A

Explanation:
Self-consistency compares multiple responses to the same prompt to check whether the model produces stable, reliable results across repeated runs.

NEW QUESTION # 18
A user includes project background information and the specific technical constraints in a prompt.
Which principle of prompt engineering is being applied?

A. stating the purpose
B. defining a persona
C. describing the situation
D. using few-shot

Answer: C

Explanation:
Describing the situation means providing relevant context, background information, and constraints so the AI can generate a response that fits the specific scenario.

NEW QUESTION # 19
A company discloses to its users that their support tickets are being summarized by an AI model.
Which responsible AI principle does this action support?

A. inclusiveness
B. system safety
C. transparency
D. bias mitigation

Answer: C

Explanation:
Transparency means clearly informing users when AI is being used, what it is doing, and how it may affect their data or experience.

NEW QUESTION # 20
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