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Cisco 810-110 Exam Syllabus Topics:

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

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Cisco AI Technical Practitioner Sample Questions (Q20-Q25):

NEW QUESTION # 20
What is hallucination in generative AI?

Answer: B

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


NEW QUESTION # 21
Which Cisco AI capability helps detect abnormal network behavior?

Answer: D

Explanation:
AI systems can identify unusual patterns and potential threats automatically.


NEW QUESTION # 22
What is the role of the client in the Model Context Protocol?

Answer: C

Explanation:
In the Model Context Protocol, the client manages communication between the AI application and MCP servers, coordinating requests for tools, resources, and context needed during task execution.


NEW QUESTION # 23
What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

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 # 24
Which activity is an indirect prompt injection attack?

Answer: C

Explanation:
An indirect prompt injection occurs when malicious instructions are hidden in external content that the AI reads or retrieves, causing the model to follow attacker-controlled instructions from a poisoned data source.


NEW QUESTION # 25
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