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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify Data Needs | 26% | - Ensure data quality, privacy, security, and compliance - Define data requirements and sources - Plan data collection, storage, and infrastructure |
| Topic 2: Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production |
| Topic 3: Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability |
| Topic 4: Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation |
| Topic 5: Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions |
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NEW QUESTION # 45
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem. During phase I: Business Understanding, you should consider at least one of the following (Select all that apply):
Answer: A,B,D,E
NEW QUESTION # 46
A project team needs to determine whether to proceed with an AI/machine learning (ML) project by examining various factors. Which factor should be evaluated by the project manager first?
Answer: B
Explanation:
Business objective alignment should be evaluated first because an AI/ML project must address a clearly defined organizational need and deliver measurable business value. Technical decisions such as model selection, data preparation, and optimization should follow only after the project's objectives and expected outcomes are established.
NEW QUESTION # 47
You're working with petabytes of data and need to make this dataset more manageable. To do this, you want to reduce the number of variables under consideration.
What is the name for this process?
Answer: C
NEW QUESTION # 48
An AI-powered chatbot occasionally generates inappropriate or harmful responses despite strong training performance. The organization wants to reduce risks while maintaining usability. What is the most effective mitigation strategy for this issue?
Answer: A
Explanation:
Guardrails control outputs and reduce harmful responses.
NEW QUESTION # 49
A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development. What is the first step the project team should complete?
Answer: D
Explanation:
Outlining the business objectives should come first because the team must understand what the AI solution is intended to achieve before determining what data, technology, tools, and expertise are required to support development.
NEW QUESTION # 50
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