A healthcare company wants to predict whether a patient has a specific disease. The dataset contains 10,000 patients, but only 200 have the disease. The business needs a model that can reliably identify patients with the disease, even if it means more false positives. Which problem type and approach should the data scientist choose?

Clustering to group patients by similarity

Binary classification with a focus on recall

Regression to predict disease severity

A financial institution wants to predict the daily closing price of a stock for the next 30 days. They have historical price data and also want to incorporate external factors like news sentiment. The trading team needs a model that can capture trends and seasonality. Which problem type should be used, and what is a key consideration?

Classification, predicting whether the price will go up or down

Anomaly detection to identify unusual price movements

Regression, using all features without regard to time order

Time series forecasting, ensuring the model accounts for temporal dependencies

SnowflakeSnowPro Advanced — Data Scientist

Domain 1Objective 3

Identify Machine Learning Problem Types SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 2)

Part of the Data Science Concepts domain, which makes up ~16% of our current practice bank.

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Questions 6–10

6expert · hard
A healthcare company wants to predict whether a patient has a specific disease. The dataset contains 10,000 patients, but only 200 have the disease. The business needs a model that can reliably identify patients with the disease, even if it means more false positives. Which problem type and approach should the data scientist choose?
Select an answer first
7expert · hard
A financial institution wants to predict the daily closing price of a stock for the next 30 days. They have historical price data and also want to incorporate external factors like news sentiment. The trading team needs a model that can capture trends and seasonality. Which problem type should be used, and what is a key consideration?
Select an answer first
8foundation · easy
A data scientist has a dataset with hundreds of features and wants to reduce the number of features while retaining the most important information for visualization. What type of machine learning problem is this?
Select an answer first
9foundation · easy
A real estate company wants to predict the sale price of a house based on features like square footage, number of bedrooms, and location. What type of machine learning problem is this?
Select an answer first
10foundation · easy
An e-commerce platform wants to suggest products to users based on their past purchases and browsing history. What type of machine learning problem is this?
Select an answer first

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Identify Machine Learning Problem Types SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 2)

Questions 6–10

A data scientist has a dataset with hundreds of features and wants to reduce the number of features while retaining the most important information for visualization. What type of machine learning problem is this?

A real estate company wants to predict the sale price of a house based on features like square footage, number of bedrooms, and location. What type of machine learning problem is this?

An e-commerce platform wants to suggest products to users based on their past purchases and browsing history. What type of machine learning problem is this?

Keep studying — Data Science Concepts