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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks |
| Topic 3: Identify Data Needs | 26% | - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure - Define data requirements and sources |
| Topic 4: Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations |
| Topic 5: Operationalize AI Solution | 17% | - Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production |
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NEW QUESTION # 188
A telecommunications company plans to operationalize a new AI-powered network optimization tool. The project manager needs to identify and map out all necessary tasks and associated resources. Which activity should the project manager perform?
Answer: B
Explanation:
Developing a work breakdown structure decomposes the AI operationalization work into manageable tasks and connects those tasks to the required resources, making it easier to define scope, responsibilities, and execution needs.
NEW QUESTION # 189
Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?
Answer: C
Explanation:
Descriptive analytics focuses on summarizing historical data to identify patterns and performance metrics, providing insights into past behaviors.
NEW QUESTION # 190
A project manager at an IT services company needs to present a business case for adopting an AI-driven cost-benefit analysis tool. The objective is to demonstrate the tool's value compared to existing processes. Which method will meet the project manager's objective?
Answer: D
Explanation:
Developing a proof of concept demonstrates the AI-driven tool's practical value against existing processes by showing measurable efficiency gains, faster analysis, improved decision support, and potential cost savings before full adoption.
NEW QUESTION # 191
An IT services company project manager is creating an AI project scope statement. They need to include details on the environments, devices, and personnel that will use the AI solution. What should the project manager do?
Answer: B
Explanation:
Developing a comprehensive usage scenario analysis defines how the AI solution will be used, including the operating environments, devices, user roles, workflows, and personnel involved.
This provides the practical context needed for a complete AI project scope statement.
NEW QUESTION # 192
You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project.
What's the best way to approach this?
Answer: A
NEW QUESTION # 193
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