What is the purpose of establishing acceptance criteria for data before training an AI model?

To ensure the data meets minimum quality standards

To increase the volume of data collected

To reduce the number of features in the dataset

To speed up the training process

A manufacturing company wants to build a predictive maintenance model to reduce unplanned downtime. They have sensor data from machines. What is the most important consideration when defining data requirements?

Ensuring the data is stored in a cloud database

Using only real-time data and ignoring historical data

Collecting as much data as possible, regardless of relevance

Aligning the data collected with the specific failure modes and maintenance goals

A national election commission wants to build a model to predict voter turnout. They have voter registration data, past election results, and demographic data. The data is imbalanced: urban areas have high turnout, rural areas have low turnout. The model must be accurate for both. What sampling strategy should they use?

Stratified sampling by urban/rural classification

Oversampling rural areas to match urban count

Random sampling from the entire dataset

Systematic sampling every 100th record

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 3Objective 1

Define Required Data 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 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

9concepts

26%of the exam

Questions 11–15

11foundation · easy
What is the purpose of establishing acceptance criteria for data before training an AI model?
Select an answer first
12application · medium
A manufacturing company wants to build a predictive maintenance model to reduce unplanned downtime. They have sensor data from machines. What is the most important consideration when defining data requirements?
Select an answer first
13foundation · easy
Which sampling strategy ensures that the proportion of each class in the sample matches the proportion in the overall population?
Select an answer first
14foundation · easy
Which data type is most appropriate for a model that predicts customer churn based on account age, monthly charges, and number of support tickets?
Select an answer first
15expert · hard
A national election commission wants to build a model to predict voter turnout. They have voter registration data, past election results, and demographic data. The data is imbalanced: urban areas have high turnout, rural areas have low turnout. The model must be accurate for both. What sampling strategy should they use?
Select an answer first

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Define Required Data PMI-CPMAI Practice Questions (Page 3)

Questions 11–15

What is the purpose of establishing acceptance criteria for data before training an AI model?

A manufacturing company wants to build a predictive maintenance model to reduce unplanned downtime. They have sensor data from machines. What is the most important consideration when defining data requirements?

Which sampling strategy ensures that the proportion of each class in the sample matches the proportion in the overall population?

Which data type is most appropriate for a model that predicts customer churn based on account age, monthly charges, and number of support tickets?

Keep studying — Identify Data Needs