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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Agentic AI Systems- Agent architecture
  • 1. Autonomous agents and orchestration
    • 2. Multi-step reasoning workflows
      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: Generative AI Models20%- Context and retrieval systems
                • 1. Context windows and token limits
                  • 2. RAG, embeddings, vector databases
                    - 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
                            Topic 4: AI for Data Research and Analysis- Data exploration and transformation
                            • 1. Insight generation and validation
                              • 2. AI-assisted data cleaning
                                Topic 5: AI for Code and Workflow Optimization- Automation workflows
                                • 1. API integration basics
                                  • 2. Workflow orchestration concepts
                                    - AI-assisted software development
                                    • 1. Code generation and debugging
                                      • 2. SDLC integration
                                        Topic 6: 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

                                                  >> 810-110通過考試 <<

                                                  權威的810-110通過考試和資格考試的領導者和最新的Cisco Cisco AI Technical Practitioner

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                                                  最新的 Cisco AI Technical Practitioner (AITECH) 810-110 免費考試真題 (Q70-Q75):

                                                  問題 #70
                                                  What is the primary goal of Retrieval-Augmented Generation (RAG) in AI systems?

                                                  答案：B

                                                  解題說明：
                                                  RAG combines a large language model with external data retrieval systems so the model can answer using updated and domain-specific knowledge.


                                                  問題 #71
                                                  An analyst needs a model that can analyze a network topology diagram and a set of configuration logs simultaneously. Which type of model should be selected?

                                                  答案：C

                                                  解題說明：
                                                  A multimodal model can process and reason over different input types at the same time, such as images from a network topology diagram and text from configuration logs.


                                                  問題 #72
                                                  Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?

                                                  答案：B

                                                  解題說明：
                                                  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.


                                                  問題 #73
                                                  What is a difference between generative AI and agentic AI?

                                                  答案：C

                                                  解題說明：
                                                  Generative AI primarily creates content or responses from a prompt, while agentic AI can plan, reason, use tools, and execute multi-step workflows toward a goal.


                                                  問題 #74
                                                  What is hallucination in generative AI?

                                                  答案：C

                                                  解題說明：
                                                  Hallucination occurs when an AI confidently produces false or misleading outputs.


                                                  問題 #75
                                                  ......

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