Which of the following is a key aspect to check when reviewing a data schema for modeling?

The storage location of the data

A data team is integrating two datasets for a customer 360 model. Dataset A has a 'customer_id' as a string with leading zeros (e.g., '00123'), while Dataset B has the same ID as an integer (e.g., 123). The team plans to join on this column. During schema review, they also notice that Dataset A has a 'last_purchase_date' column with some records in 'YYYY-MM-DD' format and others in 'MM/DD/YYYY'. What is the most critical action to take before joining?

Convert all customer_id values to integers and leave the date column as is.

Standardize the customer_id format across both datasets and parse the date column to a single consistent format.

Drop the last_purchase_date column because it is inconsistent.

Use fuzzy matching on customer_id to handle the format difference.

What is the primary purpose of analyzing data distributions during data evaluation?

To identify potential biases or gaps in the data

To ensure data is stored securely

To reduce the size of the dataset

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 3Objective 7

Oversee Data Evaluation PMI-CPMAI Practice Questions (Page 1)

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 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

5concepts

26%of the exam

Questions 1–5

1foundation · easy
Which of the following is a key aspect to check when reviewing a data schema for modeling?
Select an answer first
2expert · hard
A data team is integrating two datasets for a customer 360 model. Dataset A has a 'customer_id' as a string with leading zeros (e.g., '00123'), while Dataset B has the same ID as an integer (e.g., 123). The team plans to join on this column. During schema review, they also notice that Dataset A has a 'last_purchase_date' column with some records in 'YYYY-MM-DD' format and others in 'MM/DD/YYYY'. What is the most critical action to take before joining?
Select an answer first
3foundation · easy
Which data quality dimension measures whether the data values correctly reflect the real-world entities or events they are supposed to represent?
Select an answer first
4foundation · easy
When analyzing a data distribution for a machine learning model, what does a significant skew in the distribution of a target variable typically indicate?
Select an answer first
5foundation · easy
What is the primary purpose of analyzing data distributions during data evaluation?
Select an answer first

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Oversee Data Evaluation PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

Which of the following is a key aspect to check when reviewing a data schema for modeling?

Which data quality dimension measures whether the data values correctly reflect the real-world entities or events they are supposed to represent?

When analyzing a data distribution for a machine learning model, what does a significant skew in the distribution of a target variable typically indicate?

What is the primary purpose of analyzing data distributions during data evaluation?

Keep studying — Identify Data Needs