A data analyst is working with a dataset of transaction amounts. The `amount` column is continuous and has a wide range, from a few cents to millions of dollars. The analyst wants to visualize the overall distribution of `amount` to understand its shape. Which visualization is the most appropriate first step?

A histogram of the `amount` column.

A scatter plot of `amount` vs. an index.

A pie chart of the `amount` column.

A bar chart of the `amount` column.

A data scientist is analyzing a dataset with a continuous feature `score` and a categorical feature `group` with values 'A', 'B', and 'C'. The scientist creates a box plot of `score` for each group and notices that group 'A' has a much wider interquartile range (IQR) than groups 'B' and 'C'. The scientist wants to investigate further. Which visualization is the most appropriate next step?

Create a histogram of `score` for each group to see the shape of the distributions.

Create a scatter plot of `score` vs. `group`.

Create a bar chart of the mean score for each group.

Create a pie chart of the `group` column.

DatabricksCertified Machine Learning Associate

Domain 2Objective 3

Create Visualizations for Categorical or Continuous Features MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 1)

Part of the Section 2: Data Processing domain, which makes up ~27% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–16 in this domain), expect 1–2 from this objective — we provide 11 practice questions to prepare you well beyond it. (estimate)

11questions here

3free pages

2concepts

Questions 1–5

1application · easy
A data analyst is working with a dataset of transaction amounts. The `amount` column is continuous and has a wide range, from a few cents to millions of dollars. The analyst wants to visualize the overall distribution of `amount` to understand its shape. Which visualization is the most appropriate first step?
Select an answer first
2foundation · easy
Which visualization is best suited to compare the relative proportion of each category in a categorical feature with a small number of categories?
Select an answer first
3foundation · easy
A data scientist wants to visualize the distribution and spread of a continuous feature named 'house_price' in a Spark DataFrame. Which type of plot is most appropriate?
Select an answer first
4foundation · easy
Which visualization is best for comparing the distribution and spread of a continuous feature across multiple groups?
Select an answer first
5expert · hard
A data scientist is analyzing a dataset with a continuous feature `score` and a categorical feature `group` with values 'A', 'B', and 'C'. The scientist creates a box plot of `score` for each group and notices that group 'A' has a much wider interquartile range (IQR) than groups 'B' and 'C'. The scientist wants to investigate further. Which visualization is the most appropriate next step?
Select an answer first

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Create Visualizations for Categorical or Continuous Features MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 1)

Questions 1–5

Which visualization is best suited to compare the relative proportion of each category in a categorical feature with a small number of categories?

A data scientist wants to visualize the distribution and spread of a continuous feature named 'house_price' in a Spark DataFrame. Which type of plot is most appropriate?

Which visualization is best for comparing the distribution and spread of a continuous feature across multiple groups?

Keep studying — Section 2: Data Processing