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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ethics and Security15%- AI security threats
  • 1. Misinformation and hallucinations
    • 2. AI-specific attack surfaces
      - Data privacy and governance
      • 1. Secure AI data handling
        - Responsible AI principles
        • 1. Fairness, transparency, accountability
          • 2. Bias mitigation
            Topic 2: Prompt Engineering15%- Security and robustness
            • 1. Mitigation and defensive prompting
              • 2. Prompt injection risks
                - Prompting techniques
                • 1. Few-shot prompting
                  • 2. Chained and iterative prompting
                    - Prompt design principles
                    • 1. Roles, instructions, constraints
                      Topic 3: AI for Data Research and Analysis- Data exploration and transformation
                      • 1. Insight generation and validation
                        • 2. AI-assisted data cleaning
                          Topic 4: Generative AI Models20%- Model fundamentals and use cases
                          • 1. Use cases: summarization, code generation, content creation
                            • 2. LLMs and diffusion models overview
                              - Model hosting and architecture
                              • 1. Cloud vs local deployment trade-offs
                                • 2. Latency, cost, privacy considerations
                                  - Context and retrieval systems
                                  • 1. Context windows and token limits
                                    • 2. RAG, embeddings, vector databases
                                      Topic 5: AI for Code and Workflow Optimization- AI-assisted software development
                                      • 1. Code generation and debugging
                                        • 2. SDLC integration
                                          - Automation workflows
                                          • 1. API integration basics
                                            • 2. Workflow orchestration concepts
                                              Topic 6: Agentic AI Systems- Agent architecture
                                              • 1. Multi-step reasoning workflows
                                                • 2. Autonomous agents and orchestration

                                                  Cisco AI Technical Practitioner Sample Questions:

                                                  1. What is the role of an MCP server in the MCP open standard?

                                                  A) to host the LLM and perform token inference
                                                  B) to expose tools and resources to an AI model
                                                  C) to provide the GUI for the end-user interaction
                                                  D) to route requests between different AI providers


                                                  2. Which generative AI model family should be used for identifying and summarizing technical themes across thousands of unstructured network incident reports?

                                                  A) large language models
                                                  B) diffusion models
                                                  C) generative adversarial networks
                                                  D) variational autoencoders


                                                  3. In an AI-powered automation workflow, what is deterministic branching?

                                                  A) A workflow state that pauses execution until a human manually determines the next step.
                                                  B) A dynamic system where branching criteria evolve over time using optimization algorithms.
                                                  C) A process where the AI model autonomously selects the next step based on its internal confidence score.
                                                  D) A decision point where the next step is dictated by specific, pre-programmed rules.


                                                  4. Which role does AI play in assisting with the refactoring of software code?

                                                  A) identifying flaws and improving design
                                                  B) creating a new database schema
                                                  C) integrating a new API
                                                  D) reducing manual code documentation


                                                  5. What is the role of the client in the Model Context Protocol?

                                                  A) to act as an LLM for inferencing
                                                  B) to act as a tool or service provider
                                                  C) to orchestrate interactions with servers
                                                  D) to provide resources for task execution


                                                  Solutions:

                                                  Question # 1
                                                  Answer: B
                                                  Question # 2
                                                  Answer: A
                                                  Question # 3
                                                  Answer: D
                                                  Question # 4
                                                  Answer: A
                                                  Question # 5
                                                  Answer: C

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