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Cisco 810-110 Exam Syllabus Topics:

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

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                                                  Cisco AI Technical Practitioner Sample Questions (Q43-Q48):

                                                  NEW QUESTION # 43
                                                  Which AI concern focuses on protecting sensitive information?

                                                  Answer: C

                                                  Explanation:
                                                  AI systems must ensure sensitive data is securely handled and protected.


                                                  NEW QUESTION # 44
                                                  What is a use case for generative AI in the testing phase of the software development lifecycle?

                                                  Answer: C

                                                  Explanation:
                                                  Generative AI can create synthetic test data that simulates realistic inputs and edge cases, helping validate application behavior during the testing phase without relying only on production data.


                                                  NEW QUESTION # 45
                                                  Why are prompts important in generative AI systems?

                                                  Answer: D

                                                  Explanation:
                                                  Well-structured prompts significantly improve response accuracy and relevance.


                                                  NEW QUESTION # 46
                                                  What is the role of embeddings in AI systems?

                                                  Answer: C


                                                  NEW QUESTION # 47
                                                  A company discloses to its users that their support tickets are being summarized by an AI model.
                                                  Which responsible AI principle does this action support?

                                                  Answer: B

                                                  Explanation:
                                                  Transparency means clearly informing users when AI is being used, what it is doing, and how it may affect their data or experience.


                                                  NEW QUESTION # 48
                                                  ......

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