What is the main purpose of applying data transformations to features before training a machine learning model?

To remove duplicate rows from the dataset

To increase the number of features in the dataset

To label the data for supervised learning

To make the features more suitable for the model's algorithms and improve performance

What is the primary purpose of the logit transformation?

To compress the scale of positively skewed data

To map probabilities or proportions from [0, 1] to the entire real number line

To convert continuous data into discrete categories

To rescale a feature to have a mean of 0 and standard deviation of 1

In the machine learning workflow, what is the primary purpose of the data collection step?

To select the most important features from the dataset

To clean and format the data so it is ready for model training

To split the data into training and testing sets

To gather raw data from relevant sources that will be used to train and evaluate the model

Which of the following is a common method for collecting data in a machine learning project?

Applying a log transformation to the features

Querying a database to extract relevant records

Normalizing the data to a [0,1] range

Evaluating the model on a test set

Certified Artificial Intelligence Practitioner (CAIP)

Domain 2Objective 2

Objective 2.2 Explain Data Collection/transformation Process in ML Workflow (transformations Include Standardization; Normalization; Log, Square-Root, and Logit Transformations) AIP-210 Practice Questions (Page 5)

Part of the 2.0 Engineering Features for Machine Learning domain, which accounts for 20% of the AIP-210 exam.

27questions here

6free pages

8concepts

20%of the exam

8 Concepts in This Objective

Data Collection in ML Workflow
Data Transformation Overview
Standardization (Z-score)
Normalization (Min-Max Scaling)
Log Transformation
Square-Root Transformation
Logit Transformation
Choosing Appropriate Transformations

Questions 21–25

21foundation · easy
What is the main purpose of applying data transformations to features before training a machine learning model?
Select an answer first
22foundation · easy
What is the primary purpose of the logit transformation?
Select an answer first
23application · medium
A machine learning engineer is preparing features for a neural network that uses a sigmoid activation function in its output layer. The engineer wants to ensure that the input feature 'customer_age' (range 18–80) is scaled to match the expected input range of the network. Which transformation should be applied to 'customer_age'?
Select an answer first
24foundation · easy
In the machine learning workflow, what is the primary purpose of the data collection step?
Select an answer first
25foundation · easy
Which of the following is a common method for collecting data in a machine learning project?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to AIP-210

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by CertNexus. “AIP-210” is a trademark of its owner, used for identification only.