Free PDF Cisco 810-110 - New Cisco AI Technical Practitioner Exam Sample

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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Generative AI Models20%- Major generative model families
  • 1. Diffusion models
  • 2. Large language models (LLMs)
- Model hosting strategies
  • 1. Cloud-based vs. local deployments
  • 2. Cost, latency, privacy, and scalability considerations
- Model selection
  • 1. Reasoning and multimodal tasks
  • 2. Selection from AI hubs
- Common use cases
  • 1. Code generation
  • 2. Content creation
  • 3. Text summarization
- Retrieval Augmented Generation (RAG)
  • 1. Vector databases
  • 2. Grounding AI outputs in external knowledge
  • 3. Embeddings
- Context windows and token management
  • 1. Token limits
  • 2. Response management
Topic 2: Agentic AI20%- Differentiation from Generative AI
  • 1. Use cases comparison
  • 2. Autonomous capabilities
- Model Context Protocol (MCP)
  • 1. MCP framework primitives
  • 2. Context in agentic AI
- Data transformation and mapping
  • 1. Within AI Agents
- AI agent design principles
  • 1. Orchestration
  • 2. Human-in-the-loop (HITL) strategies
Topic 3: 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
Topic 4: Prompt Engineering15%- Prompt structures
  • 1. Text generation
  • 2. Image generation
  • 3. Audio generation
- Principles and patterns
  • 1. Constraints
  • 2. Instructions
  • 3. Roles
- Prompting techniques
  • 1. Iterative prompting
  • 2. Few-shot prompting
  • 3. Chained prompting
- Security and safety
  • 1. Defensive prompting methods
  • 2. Reducing hallucinations
  • 3. Improving response accuracy
  • 4. Prompt injection attacks
Topic 5: Data Research and Analysis- Data collection and preparation
  • 1. Data cleaning and preprocessing
  • 2. Data gathering methodologies
- Data analysis techniques
  • 1. Statistical analysis
  • 2. Data visualization
Topic 6: 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

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Cisco AI Technical Practitioner Sample Questions (Q54-Q59):

NEW QUESTION # 54
What is the role of embeddings in AI systems?

Answer: C


NEW QUESTION # 55
What is the main advantage of cloud-based AI services?

Answer: B

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


NEW QUESTION # 56
What is the role of embeddings in AI systems?

Answer: C

Explanation:
Embeddings convert text or objects into vectors that capture semantic meaning.


NEW QUESTION # 57
Which approach protects PII when utilizing a public AI service for data analysis?

Answer: C

Explanation:
Anonymizing or redacting sensitive personal information before sending data to a public AI service prevents PII from being exposed outside the organization's controlled environment.


NEW QUESTION # 58
Which factor should be considered when selecting a pre-trained model for a mobile application with limited local computational resources?

Answer: B

Explanation:
Parameter count affects model size, memory usage, and compute requirements, so a smaller model is usually more suitable for a mobile application with limited local resources.


NEW QUESTION # 59
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