Free PDF Cisco - 810-110 - Perfect Cisco AI Technical Practitioner Valid Test Answers

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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Engineering	15%	- Security and robustness 1. Mitigation and defensive prompting 2. Prompt injection risks - Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Few-shot prompting 2. Chained and iterative prompting
AI for Data Research and Analysis		- Data exploration and transformation 1. AI-assisted data cleaning 2. Insight generation and validation
AI for Code and Workflow Optimization		- Automation workflows 1. API integration basics 2. Workflow orchestration concepts - AI-assisted software development 1. SDLC integration 2. Code generation and debugging
Ethics and Security	15%	- AI security threats 1. AI-specific attack surfaces 2. Misinformation and hallucinations - Data privacy and governance 1. Secure AI data handling - Responsible AI principles 1. Fairness, transparency, accountability 2. Bias mitigation
Generative AI Models	20%	- Model hosting and architecture 1. Latency, cost, privacy considerations 2. Cloud vs local deployment trade-offs - Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits - Model fundamentals and use cases 1. Use cases: summarization, code generation, content creation 2. LLMs and diffusion models overview
Agentic AI Systems		- Agent architecture 1. Autonomous agents and orchestration 2. Multi-step reasoning workflows

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Cisco AI Technical Practitioner Sample Questions (Q59-Q64):

NEW QUESTION # 59
What is the benefit of AI Ops (AIOps) in networking?

A. Eliminates all routers
B. Disables telemetry
C. Automates monitoring and incident analysis
D. Removes cloud computing

Answer: C

Explanation:
AIOps uses AI to improve IT operations, detect anomalies, and accelerate troubleshooting.

NEW QUESTION # 60
What is a use case for generative AI in the testing phase of the software development lifecycle?

A. generating synthetic test data
B. drafting user stories
C. performing static code analysis
D. generating automated documentation

Answer: A

Explanation:
Generative AI can create synthetic test data that simulates realistic inputs and edge cases, helping validate application behavior during the testing phase without relying only on production data.

NEW QUESTION # 61
What is the role of an MCP server in the MCP open standard?

A. to route requests between different AI providers
B. to expose tools and resources to an AI model
C. to provide the GUI for the end-user interaction
D. to host the LLM and perform token inference

Answer: B

Explanation:
An MCP server exposes external tools, data sources, and resources through a standardized interface so an AI model or agent can access capabilities beyond its built-in training data.

NEW QUESTION # 62
What is hallucination in generative AI?

A. Database replication
B. Network congestion
C. GPU overheating
D. AI generating incorrect or fabricated information

Answer: D

Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.

NEW QUESTION # 63
Which activity is an agentic AI use case compared to a standard generative AI use case?

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

Answer: D

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 # 64
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