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Cisco 810-110 Exam Syllabus Topics:

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

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                                                  Cisco AI Technical Practitioner Sample Questions (Q19-Q24):

                                                  NEW QUESTION # 19
                                                  What is hallucination in generative AI?

                                                  Answer: B

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


                                                  NEW QUESTION # 20
                                                  What is the role of embeddings in AI systems?

                                                  Answer: A


                                                  NEW QUESTION # 21
                                                  Why are embeddings essential to the retrieval phase of a RAG system?

                                                  Answer: D

                                                  Explanation:
                                                  Embeddings convert text into numerical vectors that capture semantic meaning, allowing a RAG system to retrieve content that is conceptually relevant to the user's query rather than relying only on exact keyword matches.


                                                  NEW QUESTION # 22
                                                  Why is a Human-in-the-Loop requirement essential for AI governance in high-stakes environments like healthcare or finance?

                                                  Answer: A

                                                  Explanation:
                                                  Human-in-the-Loop governance ensures that a qualified person reviews, validates, and can override AI-generated decisions when outcomes may significantly affect people, such as medical diagnoses, treatment decisions, credit approvals, or financial risk assessments.


                                                  NEW QUESTION # 23
                                                  A team uses AI to scaffold a new microservice. What does this process involve?

                                                  Answer: D

                                                  Explanation:
                                                  Scaffolding uses AI to generate the initial project structure, boilerplate files, configuration, and basic code layout so the team can start development faster.


                                                  NEW QUESTION # 24
                                                  ......

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