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DA0-002 Data Acquisition and Preparation Practice Question

Match each data analysis technique to its primary purpose.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Model relationships between variables

Group similar data points without labels

Analyze data points collected over time

Compare means across multiple groups

Test association between categorical variables

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Regression: Predicting a continuous outcome variable based on one or more predictor variables

The correct matches are: Regression with predicting continuous outcomes, Clustering with grouping similar data, Classification with assigning categories, and PCA with reducing dimensionality. Common confusions include swapping regression and clustering definitions.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Regression: Predicting a continuous outcome variable based on one or more predictor variables

    Why this is correct

    Regression is used to model the relationship between a dependent variable and independent variables, typically for prediction or forecasting.

  • Clustering: Grouping a set of objects so that objects in the same group are more similar to each other than to those in other groups

    Why this is correct

    Clustering is an unsupervised learning technique that partitions data into groups based on similarity.

  • Classification: Assigning a label or category to an observation based on its features

    Why this is correct

    Classification is a supervised learning method that predicts categorical labels for input data.

  • Principal Component Analysis: Reducing the dimensionality of a dataset while preserving as much variability as possible

    Why this is correct

    PCA is a technique for dimensionality reduction that transforms data into a set of orthogonal components.

  • Regression: Grouping similar data points together

    Why it's wrong here

    Incorrect — this describes clustering, not regression.

  • Clustering: Predicting a continuous outcome variable

    Why it's wrong here

    Incorrect — this describes regression, not clustering.

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