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Cisco 810-110 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prompt Engineering15%- Prompt design principles
  • 1. Roles, instructions, constraints
    - Security and robustness
    • 1. Prompt injection risks
      • 2. Mitigation and defensive prompting
        - Prompting techniques
        • 1. Few-shot prompting
          • 2. Chained and iterative prompting
            Topic 2: 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
                    Topic 3: Agentic AI Systems- Agent architecture
                    • 1. Autonomous agents and orchestration
                      • 2. Multi-step reasoning workflows
                        Topic 4: 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
                                  Topic 5: Generative AI Models20%- Model hosting and architecture
                                  • 1. Cloud vs local deployment trade-offs
                                    • 2. Latency, cost, privacy considerations
                                      - Context and retrieval systems
                                      • 1. RAG, embeddings, vector databases
                                        • 2. Context windows and token limits
                                          - Model fundamentals and use cases
                                          • 1. LLMs and diffusion models overview
                                            • 2. Use cases: summarization, code generation, content creation
                                              Topic 6: AI for Data Research and Analysis- Data exploration and transformation
                                              • 1. Insight generation and validation
                                                • 2. AI-assisted data cleaning

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                                                  Cisco AI Technical Practitioner Sample Questions (Q55-Q60):

                                                  NEW QUESTION # 55
                                                  What is the main advantage of cloud-based AI services?

                                                  Answer: B

                                                  Explanation:
                                                  Cloud AI platforms provide scalable infrastructure and elastic computing power for AI workloads.


                                                  NEW QUESTION # 56
                                                  Which approach protects PII when utilizing a public AI service for data analysis?

                                                  Answer: C

                                                  Explanation:
                                                  Anonymizing or redacting sensitive personal information before sending data to a public AI service prevents PII from being exposed outside the organization's controlled environment.


                                                  NEW QUESTION # 57
                                                  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 # 58
                                                  In supervised machine learning, what is required?

                                                  Answer: C


                                                  NEW QUESTION # 59
                                                  Why are prompts important in generative AI systems?

                                                  Answer: A

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


                                                  NEW QUESTION # 60
                                                  ......

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