A startup is developing an AI-powered recruitment tool. They want to use a third-party dataset of job applicant resumes to train their model. The dataset is available for free but is licensed under a Creative Commons Non-Commercial license. The startup plans to sell the tool to companies. What is the best course of action?

Seek a commercial license from the dataset provider or find an alternative dataset that permits commercial use.

Use the dataset for training and argue that the tool is for educational purposes.

Use the dataset only for internal testing and use synthetic data for the commercial product.

Use the dataset but do not mention the license in the product documentation.

A multinational corporation is building a global customer analytics platform. The data comes from regional offices, each with its own data governance policies. The project team needs to ensure that data access complies with all regional policies. What should they do?

Use only data from regions with the most lenient policies.

Create a single global data access policy that overrides regional policies.

Document data ownership and access permissions for each regional source, aligning with local policies.

Store all data in a central location and grant access to all employees.

A logistics company is implementing a real-time tracking system that requires low-latency access to sensor data from thousands of vehicles. The data is currently stored in an on-premises relational database. The company is evaluating cloud storage options. Which approach best meets the latency requirement?

Use a cloud data warehouse for all sensor data to enable fast analytics.

Use a cloud-based NoSQL database with in-memory caching for real-time reads.

Keep the data in the on-premises relational database and access it over the internet.

Use a cloud object storage service like Amazon S3 for all sensor data.

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 3Objective 3

Identify Data Sources and Locations PMI-CPMAI Practice Questions (Page 3)

Part of the Identify Data Needs domain, which accounts for 26% of the PMI-CPMAI exam. PMI does not publish an official question count, but from its 160-minute exam (~65–105 total, ~17–27 in this domain), expect 2–3 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

5concepts

26%of the exam

Questions 11–15

11expert · hard
A startup is developing an AI-powered recruitment tool. They want to use a third-party dataset of job applicant resumes to train their model. The dataset is available for free but is licensed under a Creative Commons Non-Commercial license. The startup plans to sell the tool to companies. What is the best course of action?
Select an answer first
12foundation · easy
An AI project team is cataloging internal data sources. Which of the following is a key component to document for each internal database?
Select an answer first
13application · medium
A multinational corporation is building a global customer analytics platform. The data comes from regional offices, each with its own data governance policies. The project team needs to ensure that data access complies with all regional policies. What should they do?
Select an answer first
14application · medium
A logistics company is implementing a real-time tracking system that requires low-latency access to sensor data from thousands of vehicles. The data is currently stored in an on-premises relational database. The company is evaluating cloud storage options. Which approach best meets the latency requirement?
Select an answer first
15foundation · easy
Which document specifies who is responsible for managing and maintaining a data source?
Select an answer first

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Identify Data Sources and Locations PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

An AI project team is cataloging internal data sources. Which of the following is a key component to document for each internal database?

A multinational corporation is building a global customer analytics platform. The data comes from regional offices, each with its own data governance policies. The project team needs to ensure that data access complies with all regional policies. What should they do?

Which document specifies who is responsible for managing and maintaining a data source?

Keep studying — Identify Data Needs