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Cisco 810-110 Exam Syllabus Topics:

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

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Exam Cisco 810-110 Collection Pdf, Latest 810-110 Practice Materials

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

NEW QUESTION # 50
Which AI model type is best suited for image recognition tasks?

Answer: A

Explanation:
CNNs are optimized for image and visual pattern recognition.


NEW QUESTION # 51
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?

Answer: C

Explanation:
Requesting citations grounds the summary in the provided technical document and makes the model support its claims with specific source references, reducing the chance of unsupported or fabricated content.


NEW QUESTION # 52
Which activity is an agentic AI use case compared to a standard generative AI use case?

Answer: A

Explanation:
Agentic AI can plan and execute multi-step actions toward a goal, such as diagnosing a failed build, applying a fix, running validation, and iterating until the build succeeds.


NEW QUESTION # 53
What is the main advantage of cloud-based AI services?

Answer: A

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


NEW QUESTION # 54
A practitioner is estimating the operational cost of integrating a cloud-hosted LLM API into an application. How does tokenization influence the cost of using this API?

Answer: B

Explanation:
Cloud-hosted LLM APIs commonly charge based on the number of input and output tokens processed, so tokenization directly affects the per-request cost.


NEW QUESTION # 55
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