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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation for AI | - Data cleaning and transformation
| |
| Topic 2: AI Model Development and Iteration | - Model building and validation
| |
| Topic 3: Data for AI | - Data identification and governance
| |
| Topic 4: AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Topic 5: Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| Topic 6: AI Operationalization and Governance | - Deployment and lifecycle management
|
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NEW QUESTION # 10
A hospital system has been using a chatbot and has received complaints from end users. The end users believe they are speaking to a person but are frustrated when answers do not make sense. To help ensure end users know that they are engaging with an AI chatbot, what should be considered to support transparency?
Answer: D
Explanation:
A disclosure notice with each use clearly informs users that they are interacting with an AI chatbot rather than a human. This supports transparency, manages expectations, and helps reduce user frustration when responses are limited or unclear.
NEW QUESTION # 11
You are working for a large multinational organization and have been assigned to a new project.
For your new ML project, you need to make sure you're managing data privacy and security as you're working with sensitive customer data. What critical security issues do you need to make sure you address? (Choose all that apply.)
Answer: A,B,C,D
Explanation:
Managing sensitive customer data requires comprehensive security measures, including compliance with data privacy laws regardless of location, securing both model data and metadata, protecting data at rest, and ensuring secure storage of all training data.
NEW QUESTION # 12
A project team is preparing to move to the next phase of their AI project. The team needs to ensure that all transparency and explainability requirements are met. Which activity should the project team perform?
Answer: C
Explanation:
Documenting the decision-making process of the AI model directly supports transparency and explainability by showing how inputs are used, how outputs are generated, and how decisions can be reviewed or justified before moving to the next project phase.
NEW QUESTION # 13
During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates. Which action will identify the cause of the performance decline?
Answer: A
NEW QUESTION # 14
You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?
Answer: C
Explanation:
K Nearest Neighbor is well-suited for recommendation systems as it identifies similar customers based on purchasing behavior to suggest products.
NEW QUESTION # 15
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