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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which action demonstrates the principle of fairness in a generative AI deployment?

A. requiring users to sign Acceptable Use Policies
B. hosting the model in a carbon-neutral data center
C. auditing model outputs for bias
D. redacting PII from the training dataset

Answer: C

Explanation:
Fairness requires checking whether model outputs treat users or groups equitably, so auditing outputs for bias helps identify and reduce discriminatory or unequal outcomes.

NEW QUESTION # 28
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 # 29
What is the main advantage of cloud-based AI services?

A. Scalability and flexible compute resources
B. Unlimited free hardware
C. No need for networking
D. Elimination of cybersecurity risks

Answer: A

Explanation:
Cloud AI platforms provide scalable infrastructure and elastic computing power for AI workloads.

NEW QUESTION # 30
Why is defining a persona considered a best practice for technical prompt engineering?

A. It guides the tone and vocabulary.
B. It provides instructions for desired action.
C. It reduces the total token usage.
D. It provides a pattern to emulate.

Answer: A

Explanation:
Defining a persona guides the AI to respond with the appropriate role-based tone, vocabulary, level of technical depth, and communication style for the intended audience.

NEW QUESTION # 31
What is the role of embeddings in AI systems?

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

Answer: C

NEW QUESTION # 32
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