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| Section | Weight | Objectives |
|---|---|---|
| Generative AI Models | 20% | - Context and retrieval systems
|
| AI for Data Research and Analysis | - Data exploration and transformation
| |
| Agentic AI Systems | - Agent architecture
| |
| AI for Code and Workflow Optimization | - Automation workflows
| |
| Prompt Engineering | 15% | - Prompting techniques
|
| Ethics and Security | 15% | - AI security threats
|
1. What is a purpose of providing a JSON schema when configuring tool use for an AI agent?
A) to reduce the token count of the agent's system prompt
B) to define the required parameters and data types the agent must return
C) to map relationships between multiple tools in an agent workflow
D) to encrypt the payload before it is sent to the external service
2. What is the purpose of tokenization in Large Language Models (LLMs)?
A) Compressing images
B) Routing packets
C) Encrypting passwords
D) Splitting text into manageable units
3. Which threat involves an attacker intentionally contaminating the training set of a model to influence its future behavior?
A) direct prompt injection
B) algorithmic bias
C) gradient inversion
D) data poisoning
4. 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?
A) providing inline co-pilot assistance
B) performing code scaffolding
C) executing legacy code refactoring
D) implementing predictive function logic
5. In an AI-powered automation workflow, what is the function of an approval gate?
A) to apply human judgement before high-impact actions are executed
B) to trigger automated completion notifications to project stakeholders
C) to automatically block deployments if system health alerts are active
D) to ensure the internal logic of AI remains closed for modification
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |
Quennel
Ternence
Yale
Beverly
Dorothy
Hannah
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