A ride-sharing company wants to predict surge pricing in different neighborhoods. They have trip data with pickup and drop-off locations, timestamps, and fares. What granularity should they specify for the model?

Trip-level data with precise timestamps and locations

Monthly aggregates per neighborhood

Hourly aggregates per neighborhood

Which of the following is an example of a measurable acceptance criterion for data?

The data must have less than 5% missing values

The data should be collected recently

The data should be 'good enough' for training

The data should come from a reliable source

An e-commerce company wants to build a product recommendation model. They have user browsing history, purchase history, product images, and product descriptions. The model must use all these data types. What is the most appropriate way to structure the data?

Store tabular data (user and product IDs) in CSV, text descriptions in JSON, and images in a separate image file store

Store only the product descriptions and images, ignoring user behavior data

Store all data in a single CSV file, including images as base64-encoded strings

Store all data in a single JSON file, including images as URLs

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 3Objective 1

Define Required Data PMI-CPMAI Practice Questions (Page 5)

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 21–25

21application · medium
A ride-sharing company wants to predict surge pricing in different neighborhoods. They have trip data with pickup and drop-off locations, timestamps, and fares. What granularity should they specify for the model?
Select an answer first
22foundation · easy
Which of the following is an example of a measurable acceptance criterion for data?
Select an answer first
23expert · hard
An e-commerce company wants to build a product recommendation model. They have user browsing history, purchase history, product images, and product descriptions. The model must use all these data types. What is the most appropriate way to structure the data?
Select an answer first
24foundation · easy
Which data quality dimension is most critical for a model that predicts stock prices in real-time?
Select an answer first
25foundation · easy
Which data granularity would be most appropriate for a model that detects fraudulent credit card transactions in real-time?
Select an answer first

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Define Required Data PMI-CPMAI Practice Questions (Page 5)

Questions 21–25

A ride-sharing company wants to predict surge pricing in different neighborhoods. They have trip data with pickup and drop-off locations, timestamps, and fares. What granularity should they specify for the model?

Which of the following is an example of a measurable acceptance criterion for data?

An e-commerce company wants to build a product recommendation model. They have user browsing history, purchase history, product images, and product descriptions. The model must use all these data types. What is the most appropriate way to structure the data?

Which data quality dimension is most critical for a model that predicts stock prices in real-time?

Which data granularity would be most appropriate for a model that detects fraudulent credit card transactions in real-time?

Keep studying — Identify Data Needs