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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ethics and Security	15%	- AI security threats 1. Misinformation and hallucinations 2. AI-specific attack surfaces - Data privacy and governance 1. Secure AI data handling - Responsible AI principles 1. Fairness, transparency, accountability 2. Bias mitigation
Topic 2: 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 3: 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. Latency, cost, privacy considerations 2. Cloud vs local deployment trade-offs
Topic 4: 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 5: AI for Data Research and Analysis		- Data exploration and transformation 1. Insight generation and validation 2. AI-assisted data cleaning
Topic 6: Agentic AI Systems		- Agent architecture 1. Multi-step reasoning workflows 2. Autonomous agents and orchestration

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Cisco AI Technical Practitioner Sample Questions (Q40-Q45):

NEW QUESTION # 40
What is occurring when an agent converts a CSV list into a Markdown table for a final report?

A. data transformation
B. data quantization
C. data classification
D. data filtering

Answer: A

Explanation:
Data transformation changes data from one format or structure into another, such as converting CSV rows into a Markdown table for reporting.

NEW QUESTION # 41
Which risk occurs when an AI model provides an outdated technical specification because it was trained before the new standard was released?

A. disinformation
B. data poisoning
C. misinformation
D. knowledge cut-off

Answer: D

Explanation:
Knowledge cut-off occurs when a model lacks information about events, standards, or specifications released after its training data period, causing it to provide outdated information.

NEW QUESTION # 42
Which protocol is commonly used for streaming telemetry in modern networks?

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

Answer: B

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

NEW QUESTION # 43
Which AI-driven activity involves a developer providing runtime error logs to a model to receive an explanation of the root cause and a suggested fix?

A. automated unit testing
B. AI-assisted debugging
C. code scaffolding
D. continuous integration optimization

Answer: B

Explanation:
AI-assisted debugging uses error logs, stack traces, and runtime context to help identify the root cause of a failure and suggest a corrective fix.

NEW QUESTION # 44
What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?

A. Replace neural networks
B. Reduce GPU usage only
C. Encrypt AI datasets
D. Improve model responses with external knowledge

Answer: D

Explanation:
RAG combines a large language model with external data retrieval systems so the model can answer using updated and domain-specific knowledge.

NEW QUESTION # 45
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