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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Generative AI Models	20%	- Model selection and evaluation in AI hubs - Model hosting options and trade-offs - Generative AI model families and use cases - Context windows, token limits and response management
Topic 2: 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 3: 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 4: Prompt Engineering	15%	- Prompt design principles and best practices - Defensive prompting and error mitigation - Advanced prompting techniques
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 - Human-in-the-loop strategies - Agent design principles and capabilities - Agentic AI vs Generative AI use cases

>> Real Cisco 810-110 Exam Questions <<

Free PDF Quiz 2026 Cisco Valid 810-110: Real Cisco AI Technical Practitioner Exam Questions

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Cisco AI Technical Practitioner Sample Questions (Q21-Q26):

NEW QUESTION # 21
An organization has regulatory requirements that prohibit any proprietary source code from leaving the internal network. Which hosting strategy provides the highest level of data sovereignty?

A. hybrid deployment with cloud-based backup
B. cloud-based API with Zero Data Retention
C. managed SaaS AI platform with SOC 2 audit
D. local LLM deployment on internal hardware

Answer: D

Explanation:
Local LLM deployment on internal hardware keeps proprietary source code within the organization's internal network, providing the strongest control over data location, access, and governance.

NEW QUESTION # 22
In an AI-powered automation workflow, what is deterministic branching?

A. A workflow state that pauses execution until a human manually determines the next step.
B. A process where the AI model autonomously selects the next step based on its internal confidence score.
C. A dynamic system where branching criteria evolve over time using optimization algorithms.
D. A decision point where the next step is dictated by specific, pre-programmed rules.

Answer: D

Explanation:
Deterministic branching uses predefined rules or conditions to decide the next workflow step, making the path predictable and repeatable rather than model-driven or manually selected.

NEW QUESTION # 23
Which algorithm category is used when no labels exist in data?

A. Deterministic routing
B. Supervised learning
C. Unsupervised learning
D. Reinforcement learning only

Answer: C

Explanation:
Unsupervised learning discovers patterns or groupings without labeled outputs.

NEW QUESTION # 24
Which activity is an agentic AI use case compared to a standard generative AI use case?

A. autonomously fixing a build
B. translating a short email
C. writing a poem about routing
D. generating a meeting summary

Answer: A

Explanation:
Agentic AI can plan and execute multi-step actions toward a goal, such as diagnosing a failed build, applying a fix, running validation, and iterating until the build succeeds.

NEW QUESTION # 25
Which activity is an indirect prompt injection attack?

A. A prompt forces AI to ignore safety filters.
B. The model generates a false fact.
C. A user types a malicious command.
D. AI reads a poisoned data source.

Answer: D

Explanation:
An indirect prompt injection occurs when malicious instructions are hidden in external content that the AI reads or retrieves, causing the model to follow attacker-controlled instructions from a poisoned data source.

NEW QUESTION # 26
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