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| Section | Weight | Objectives |
|---|---|---|
| AI Operationalization and Governance | - Deployment and lifecycle management
| |
| Data Preparation for AI | - Data cleaning and transformation
| |
| AI Model Development and Iteration | - Model building and validation
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Data for AI | - Data identification and governance
|
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NEW QUESTION # 52
Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
What role would be most suited for this?
Answer: C
NEW QUESTION # 53
A government agency plans to increase personalization of their AI public services platform. The agency is concerned that the personal information may be hacked. Which action should occur to achieve the agency's goals?
Answer: B
Explanation:
Enhancing data privacy directly addresses the risk of personal information being compromised while supporting personalization. Strong privacy protections increase user trust and confidence in the AI public services platform.
NEW QUESTION # 54
A company has recently received a large number of spam emails. Some employees have been clicking on the suspicious emails causing challenges for their IT department. The head of IT wants to create a more robust spam filter and has tasked a team with this project. Which type of algorithm should the project team use?
Answer: D
Explanation:
Spam filtering is a binary classification problem because each email is categorized into one of two classes: spam or not spam. This approach is appropriate when the model must make a yes/no decision for each message.
NEW QUESTION # 55
The project team at an IT services company is working on an AI-based customer support chatbot.
To help ensure the chatbot functions effectively, they need to define the required data. Which method meets the project requirements?
Answer: B
Explanation:
Gathering historical customer interaction logs provides real examples of customer questions, language patterns, issues, intents, and support responses. This helps define and supply the data needed to train an effective customer support chatbot.
NEW QUESTION # 56
During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules. What problem describes the issue the project team is facing?
Answer: D
Explanation:
Compliance issues in the initial phase indicate that the team did not identify the applicable data regulations early enough. AI success criteria must include regulatory, privacy, and governance requirements before the project progresses into design, development, or operationalization.
NEW QUESTION # 57
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