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

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Cisco AI Technical Practitioner Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which AI concern focuses on protecting sensitive information?

A. VLAN tagging
B. Packet fragmentation
C. Clock synchronization
D. Data privacy

Answer: D

Explanation:
AI systems must ensure sensitive data is securely handled and protected.

NEW QUESTION # 19
What is the main advantage of cloud-based AI services?

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

Answer: C

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

NEW QUESTION # 20
What is a corporate data privacy risk when using a public AI chatbot?

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

Answer: A

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 # 21
Which design principle helps prevent an autonomous agent from looping infinitely and wasting tokens?

A. removing system prompts
B. using known patterns
C. using smaller contexts
D. implementing constraints

Answer: D

Explanation:
Implementing constraints, such as maximum iteration limits, stop conditions, and execution boundaries, helps prevent an autonomous agent from repeatedly running actions without reaching a valid endpoint.

NEW QUESTION # 22
Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?

A. implementing predictive function logic
B. executing legacy code refactoring
C. performing code scaffolding
D. providing inline co-pilot assistance

Answer: C

Explanation:
Code scaffolding uses AI to generate the initial structure and boilerplate for a new component, such as a complete Python class for an API client based on a high-level description.

NEW QUESTION # 23
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