810-110 Related Content, Exam 810-110 Practice

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Cisco 810-110 Exam Syllabus Topics:

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

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                                                  Cisco AI Technical Practitioner Sample Questions (Q72-Q77):

                                                  NEW QUESTION # 72
                                                  A practitioner is solving a complex architectural problem by breaking it into four sequential prompts. Each prompt's output is fed as input into the next prompt in the sequence. Which prompt engineering technique is being used?

                                                  Answer: C

                                                  Explanation:
                                                  Prompt chaining breaks a complex task into a sequence of connected prompts, where each response becomes part of the input for the next step.


                                                  NEW QUESTION # 73
                                                  What happens when the input provided to an LLM exceeds its context window limit?

                                                  Answer: A

                                                  Explanation:
                                                  When input exceeds the context window, the model cannot process all provided text at once, so earlier content may be truncated or pushed out of the active context.


                                                  NEW QUESTION # 74
                                                  What is an advantage of cloud-hosted API services when comparing cloud-hosted and locally hosted AI models?

                                                  Answer: A

                                                  Explanation:
                                                  Cloud-hosted API services can scale inference capacity quickly based on demand, making them suitable for workloads with unpredictable or fluctuating usage.


                                                  NEW QUESTION # 75
                                                  What is hallucination in generative AI?

                                                  Answer: D

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


                                                  NEW QUESTION # 76
                                                  Which Cisco solution helps automate network operations using AI insights?

                                                  Answer: C

                                                  Explanation:
                                                  Cisco DNA Center uses AI and analytics for intent-based networking and automation.


                                                  NEW QUESTION # 77
                                                  ......

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