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| Section | Weight | Objectives |
|---|
| Topic 1: Ethics and Security | 15% | - Data privacy and governance
- 1. Secure AI data handling
- Responsible AI principles
- 1. Fairness, transparency, accountability
- 2. Bias mitigation
- AI security threats
- 1. AI-specific attack surfaces
- 2. Misinformation and hallucinations
|
| Topic 2: AI for Data Research and Analysis | | - Data exploration and transformation
- 1. AI-assisted data cleaning
- 2. Insight generation and validation
|
| Topic 3: 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
|
| Topic 4: Agentic AI Systems | | - Agent architecture
- 1. Autonomous agents and orchestration
- 2. Multi-step reasoning workflows
|
| Topic 5: Prompt Engineering | 15% | - 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
|
| Topic 6: Generative AI Models | 20% | - Context and retrieval systems
- 1. Context windows and token limits
- 2. RAG, embeddings, vector databases
- Model hosting and architecture
- 1. Latency, cost, privacy considerations
- 2. Cloud vs local deployment trade-offs
- Model fundamentals and use cases
- 1. Use cases: summarization, code generation, content creation
- 2. LLMs and diffusion models overview
|
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Cisco AI Technical Practitioner Sample Questions (Q54-Q59):
NEW QUESTION # 54
How does context window management help control the cost of a long-running AI conversation?
- A. by capping the cumulative number of input tokens sent with each new prompt
- B. by increasing the context window size to reduce the total number of API calls
- C. by automatically switching to a lower-cost model as the conversation history grows
- D. by switching to an algorithm that reduces the character-to-token ratio
Answer: A
Explanation:
Context window management controls cost by limiting how much prior conversation history is included with each new request, reducing the number of input tokens processed and billed.
NEW QUESTION # 55
Which strategy should be used to mitigate hallucinations when asking an AI to summarize a specific technical document?
- A. removing negative constraints
- B. requesting citations for the summary
- C. using a short system prompt
- D. increasing the model creativity
Answer: B
Explanation:
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.
NEW QUESTION # 56
Why are embeddings essential to the retrieval phase of a RAG system?
- A. They reduce model hallucination.
- B. They represent semantic meaning.
- C. They provide a keyword index.
- D. They compress the prompt length.
Answer: B
Explanation:
Embeddings convert text into numerical vectors that capture semantic meaning, allowing a RAG system to retrieve content that is conceptually relevant to the user's query rather than relying only on exact keyword matches.
NEW QUESTION # 57
What is the role of the client in the Model Context Protocol?
- A. to provide resources for task execution
- B. to orchestrate interactions with servers
- C. to act as a tool or service provider
- D. to act as an LLM for inferencing
Answer: B
Explanation:
In the Model Context Protocol, the client manages communication between the AI application and MCP servers, coordinating requests for tools, resources, and context needed during task execution.
NEW QUESTION # 58
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?
- A. embedding model
- B. generative adversarial network
- C. multimodal model
- D. diffusion model
Answer: C
Explanation:
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.
NEW QUESTION # 59
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