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Cisco 810-110 Exam Syllabus Topics:

Section	Weight	Objectives
Data Research and Analysis		- Data analysis techniques 1. Data visualization 2. Statistical analysis - Data collection and preparation 1. Data cleaning and preprocessing 2. Data gathering methodologies
Prompt Engineering	15%	- Prompting techniques 1. Iterative prompting 2. Chained prompting 3. Few-shot prompting - Security and safety 1. Improving response accuracy 2. Reducing hallucinations 3. Prompt injection attacks 4. Defensive prompting methods - Prompt structures 1. Text generation 2. Audio generation 3. Image generation - Principles and patterns 1. Instructions 2. Roles 3. Constraints
Generative AI Models	20%	- Model hosting strategies 1. Cloud-based vs. local deployments 2. Cost, latency, privacy, and scalability considerations - Retrieval Augmented Generation (RAG) 1. Embeddings 2. Grounding AI outputs in external knowledge 3. Vector databases - Common use cases 1. Text summarization 2. Content creation 3. Code generation - Model selection 1. Selection from AI hubs 2. Reasoning and multimodal tasks - Context windows and token management 1. Token limits 2. Response management - Major generative model families 1. Diffusion models 2. Large language models (LLMs)
AI for Code and Workflow Optimization		- AI-assisted code development 1. Code review and debugging 2. Code generation - Workflow automation 1. Task optimization 2. Process automation
Agentic AI	20%	- Differentiation from Generative AI 1. Autonomous capabilities 2. Use cases comparison - AI agent design principles 1. Human-in-the-loop (HITL) strategies 2. Orchestration - Data transformation and mapping 1. Within AI Agents - Model Context Protocol (MCP) 1. Context in agentic AI 2. MCP framework primitives
AI Ethics and Security		- Ethical considerations in AI 1. Bias and fairness 2. Transparency and explainability - Security threats and mitigations 1. Model security 2. Data privacy

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Cisco AI Technical Practitioner Sample Questions (Q50-Q55):

NEW QUESTION # 50
In supervised machine learning, what is required?

A. Labeled datasets
B. Only encrypted traffic
C. No data
D. Random hardware failures

Answer: A

Explanation:
Supervised learning trains models using labeled input-output pairs.

NEW QUESTION # 51
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 # 52
What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

A. rapid elastic scaling for unpredictable inference demand
B. elimination of per-token operational costs
C. full control over data residency and privacy
D. lower network latency for all end users

Answer: A

Explanation:
Cloud-hosted API services can scale inference capacity quickly based on demand, making them suitable for workloads with unpredictable or fluctuating usage.

NEW QUESTION # 53
A team uses AI to scaffold a new microservice. What does this process involve?

A. testing the final production code
B. removing redundant logic
C. creating automated deployment scripts
D. generating the initial structure

Answer: D

Explanation:
Scaffolding uses AI to generate the initial project structure, boilerplate files, configuration, and basic code layout so the team can start development faster.

NEW QUESTION # 54
What is a corporate data privacy risk when using a public AI chatbot?

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

Answer: D

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 # 55
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