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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which protocol is commonly used for streaming telemetry in modern networks?

Answer: B

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


NEW QUESTION # 73
What is the role of the client in the Model Context Protocol?

Answer: A


NEW QUESTION # 74
What is hallucination in generative AI?

Answer: B

Explanation:
Hallucination occurs when an AI confidently produces false or misleading outputs.


NEW QUESTION # 75
What is the purpose of a vector database in a RAG architecture?

Answer: A

Explanation:
A vector database stores embeddings, which are numerical representations of data, so a RAG system can retrieve semantically relevant information for grounding the model's response.


NEW QUESTION # 76
What is the benefit of AI Ops (AIOps) in networking?

Answer: C

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


NEW QUESTION # 77
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