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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Ethics and Security	20%	- Responsible AI principles - Data privacy and security in AI systems - Compliance and governance frameworks - AI-specific threats, risks and misinformation
Topic 2: Data Research and Analysis	15%	- Data visualization and insight generation - Data quality, bias and validation - Data collection, preparation and preprocessing
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: Prompt Engineering	15%	- Prompt design principles and best practices - Defensive prompting and error mitigation - Advanced prompting techniques
Topic 5: Agentic AI	15%	- Agentic AI vs Generative AI use cases - Model Context Protocol (MCP) framework - Agent design principles and capabilities - Human-in-the-loop strategies
Topic 6: 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

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

NEW QUESTION # 69
Why is a Human-in-the-Loop requirement essential for AI governance in high-stakes environments like healthcare or finance?

A. to ensure the validity of AI decisions
B. to prevent unauthorized access to data
C. to increase the speed of AI response
D. to protect sensitive customer data

Answer: A

Explanation:
Human-in-the-Loop governance ensures that a qualified person reviews, validates, and can override AI-generated decisions when outcomes may significantly affect people, such as medical diagnoses, treatment decisions, credit approvals, or financial risk assessments.

NEW QUESTION # 70
What is the role of embeddings in AI systems?

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

Answer: A

Explanation:
Embeddings convert text or objects into vectors that capture semantic meaning.

NEW QUESTION # 71
What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

A. rapid elastic scaling for unpredictable inference demand
B. lower network latency for all end users
C. full control over data residency and privacy
D. elimination of per-token operational costs

Answer: A

Explanation:
Cloud-hosted API services can scale inference capacity quickly based on demand, making them suitable for workloads with unpredictable or fluctuating usage.

NEW QUESTION # 72
When using AI to draft a technical proposal, what is the benefit of a format-agnostic strategy?

A. It minimizes token consumption.
B. It ensures the most creative text.
C. It maintains contextual alignment.
D. It allows for easy repurposing.

Answer: D

Explanation:
A format-agnostic strategy keeps the content independent of a specific final layout, making it easier to reuse or adapt the same proposal material for different formats such as email, slides, documents, or reports.

NEW QUESTION # 73
A practitioner must reduce the financial cost of a high-volume summarization task. Which strategy addresses token-based billing?

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

Answer: B

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 # 74
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