Cisco AI Technical Practitioner : 810-110

  • Exam Code: 810-110
  • Exam Name: Cisco AI Technical Practitioner
  • Q & A: 73 Questions and Answers

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Cisco 810-110 Exam Syllabus Topics:

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

                                                  Cisco AI Technical Practitioner Sample Questions:

                                                  Question 1

                                                  Why is defining a persona considered a best practice for technical prompt engineering?

                                                  A. It provides a pattern to emulate.
                                                  B. It reduces the total token usage.
                                                  C. It provides instructions for desired action.
                                                  D. It guides the tone and vocabulary.


                                                  Question 2

                                                  When using AI to draft a technical proposal, what is the benefit of a format-agnostic strategy?

                                                  A. It allows for easy repurposing.
                                                  B. It ensures the most creative text.
                                                  C. It maintains contextual alignment.
                                                  D. It minimizes token consumption.


                                                  Question 3

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

                                                  A. generating automated documentation
                                                  B. drafting user stories
                                                  C. performing static code analysis
                                                  D. generating synthetic test data


                                                  Question 4

                                                  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?

                                                  A. system safety
                                                  B. inclusiveness
                                                  C. transparency
                                                  D. bias mitigation


                                                  Question 5

                                                  Which AI concern focuses on protecting sensitive information?

                                                  A. Data privacy
                                                  B. VLAN tagging
                                                  C. Packet fragmentation
                                                  D. Clock synchronization


                                                  Solutions:

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

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