What does feature importance measure in a machine learning model?

The cardinality of each categorical feature

The contribution of each feature to the model's predictions

The scale of each feature's values

The number of missing values in each feature

A data scientist is predicting equipment failure using sensor readings recorded every minute. The scientist wants to capture short-term anomalies and longer-term trends. Which set of time series features should be created?

Rolling mean over 5 minutes and rolling standard deviation over 60 minutes.

The difference between the current reading and the reading 1 minute ago only.

A single rolling mean over 60 minutes.

Only the raw sensor reading at the current minute.

What is the purpose of binning a continuous numeric variable?

To group values into discrete intervals, which can help models capture non-linear relationships

To increase the number of features in the dataset

To impute missing values in the variable

To convert the variable into a binary target variable

What is the primary goal of dimensionality reduction?

To convert categorical variables into numeric ones

To impute missing values in the dataset

To increase the number of features to improve model accuracy

To reduce the number of features while preserving as much relevant information as possible

In the context of machine learning, what is a 'feature'?

The algorithm used to train the model

A subset of the training data used for validation

The output variable that the model is trying to predict

A single measurable property or characteristic of a phenomenon being observed

SnowflakeSnowPro Advanced — Data Scientist

Domain 3Objective 2

Engineer Features for Models SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 8)

Part of the Data Preparation and Feature Engineering domain, which makes up ~26% of our current practice bank.

45questions here

9free pages

15concepts

Questions 36–40

36foundation · easy
What does feature importance measure in a machine learning model?
Select an answer first
37application · medium
A data scientist is predicting equipment failure using sensor readings recorded every minute. The scientist wants to capture short-term anomalies and longer-term trends. Which set of time series features should be created?
Select an answer first
38foundation · easy
What is the purpose of binning a continuous numeric variable?
Select an answer first
39foundation · easy
What is the primary goal of dimensionality reduction?
Select an answer first
40foundation · easy
In the context of machine learning, what is a 'feature'?
Select an answer first

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