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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Generative AI Models20%- Model hosting and architecture
  • 1. Cloud vs local deployment trade-offs
    • 2. Latency, cost, privacy considerations
      - 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
              AI for Data Research and Analysis- Data exploration and transformation
              • 1. AI-assisted data cleaning
                • 2. Insight generation and validation
                  AI for Code and Workflow Optimization- Automation workflows
                  • 1. Workflow orchestration concepts
                    • 2. API integration basics
                      - AI-assisted software development
                      • 1. SDLC integration
                        • 2. Code generation and debugging
                          Ethics and Security15%- Responsible AI principles
                          • 1. Fairness, transparency, accountability
                            • 2. Bias mitigation
                              - AI security threats
                              • 1. AI-specific attack surfaces
                                • 2. Misinformation and hallucinations
                                  - Data privacy and governance
                                  • 1. Secure AI data handling
                                    Prompt Engineering15%- Prompt design principles
                                    • 1. Roles, instructions, constraints
                                      - Prompting techniques
                                      • 1. Few-shot prompting
                                        • 2. Chained and iterative prompting
                                          - Security and robustness
                                          • 1. Prompt injection risks
                                            • 2. Mitigation and defensive prompting
                                              Agentic AI Systems- Agent architecture
                                              • 1. Autonomous agents and orchestration
                                                • 2. Multi-step reasoning workflows

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                                                  Cisco AI Technical Practitioner Sample Questions (Q21-Q26):

                                                  NEW QUESTION # 21
                                                  Which algorithm category is used when no labels exist in data?

                                                  Answer: C

                                                  Explanation:
                                                  Unsupervised learning discovers patterns or groupings without labeled outputs.


                                                  NEW QUESTION # 22
                                                  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: A

                                                  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 # 23
                                                  In supervised machine learning, what is required?

                                                  Answer: C

                                                  Explanation:
                                                  Supervised learning trains models using labeled input-output pairs.


                                                  NEW QUESTION # 24
                                                  Which activity occurs when a developer uses AI to generate a complete Python class for a new API client based on a high-level description?

                                                  Answer: B

                                                  Explanation:
                                                  Code scaffolding uses AI to generate the initial structure and boilerplate for a new component, such as a complete Python class for an API client based on a high-level description.


                                                  NEW QUESTION # 25
                                                  Which workflow mechanism is being used when a company implements a policy where an AI agent can draft a customer email, but a human must authorize the transmission?

                                                  Answer: B

                                                  Explanation:
                                                  An approval gate requires human authorization before a high-impact or externally visible action is executed, such as sending an AI-drafted customer email.


                                                  NEW QUESTION # 26
                                                  ......

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