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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration
Topic 2: AI for Data Research and Analysis		- Data exploration and transformation 1. AI-assisted data cleaning 2. Insight generation and validation
Topic 3: Prompt Engineering	15%	- Security and robustness 1. Prompt injection risks 2. Mitigation and defensive prompting - Prompt design principles 1. Roles, instructions, constraints - Prompting techniques 1. Few-shot prompting 2. Chained and iterative prompting
Topic 4: AI for Code and Workflow Optimization		- AI-assisted software development 1. Code generation and debugging 2. SDLC integration - Automation workflows 1. API integration basics 2. Workflow orchestration concepts
Topic 5: 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. Bias mitigation 2. Fairness, transparency, accountability
Topic 6: Generative AI Models	20%	- Context and retrieval systems 1. RAG, embeddings, vector databases 2. Context windows and token limits - Model fundamentals and use cases 1. LLMs and diffusion models overview 2. Use cases: summarization, code generation, content creation - Model hosting and architecture 1. Cloud vs local deployment trade-offs 2. Latency, cost, privacy considerations

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Cisco AI Technical Practitioner Sample Questions (Q65-Q70):

NEW QUESTION # 65
Which Cisco technology is commonly associated with network observability and telemetry?

A. Spanning Tree Protocol
B. NetFlow
C. RIP v1
D. VLAN Trunking Protocol only

Answer: B

Explanation:
NetFlow provides visibility into traffic flows and is widely used for monitoring, analytics, and AI- driven operations.

NEW QUESTION # 66
Which protocol is commonly used for streaming telemetry in modern networks?

A. gRPC
B. Telnet
C. ARP
D. FTP

Answer: A

Explanation:
gRPC supports efficient real-time telemetry streaming in modern network automation environments.

NEW QUESTION # 67
What is a difference between generative AI and agentic AI?

A. Generative AI requires tool access and agentic AI relies on its training data.
B. Generative AI uses retrieval-augmented generation and agentic AI does not support external data sources.
C. Generative AI operates autonomously and agentic AI requires a prompt for each action.
D. Generative AI produces single-turn responses and agentic AI executes multi-step reasoning loops.

Answer: D

Explanation:
Generative AI primarily creates content or responses from a prompt, while agentic AI can plan, reason, use tools, and execute multi-step workflows toward a goal.

NEW QUESTION # 68
What is a corporate data privacy risk when using a public AI chatbot?

A. The AI will provide hallucinated technical specifications.
B. The input data may be used for model training.
C. The data will be encrypted at rest instead of in transit.
D. The AI will provide biased technical advice.

Answer: B

Explanation:
A public AI chatbot may retain submitted corporate data or use it to improve model training, which can expose confidential, proprietary, or regulated information outside the organization's control.

NEW QUESTION # 69
What is the benefit of AI Ops (AIOps) in networking?

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

Answer: B

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

NEW QUESTION # 70
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