Databricks Exam Databricks-Machine-Learning-Associate Topic 2 Question 12 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Associate exam

Question #: 12
Topic #: 2

[All Databricks-Machine-Learning-Associate Questions]

A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features to be included in the exploration.

Which of the following lines of code can the data scientist run to accomplish the task?

Aspark_df.describe()

Bdbutils.data(spark_df).summarize()

CThis task cannot be accomplished in a single line of code.

Dspark_df.summary()

Edbutils.data.summarize (spark_df)

Show Suggested Answer

Suggested Answer: E

To display visual histograms and summaries of the numeric features in a Spark DataFrame, the Databricks utility function dbutils.data.summarize can be used. This function provides a comprehensive summary, including visual histograms.

Correct code:

dbutils.data.summarize(spark_df)

Other options like spark_df.describe() and spark_df.summary() provide textual statistical summaries but do not include visual histograms.

Databricks Utilities Documentation

by Sabrina at Aug 08, 2024, 04:32 AM

Limited Time Offer

25%

Off

Get Premium Databricks-Machine-Learning-Associate Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Antonio

9 months ago

I'm not sure, but I think D) spark_df.summary() could also work for this task.

upvoted 0 times

...

9 months ago

Option A looks good, but I think we need to do more than just describe the DataFrame. We need to see the actual histograms to get a better understanding of the data.

upvoted 0 times

Sharee

8 months ago

Option A looks good, but I think we need to do more than just describe the DataFrame. We need to see the actual histograms to get a better understanding of the data.

upvoted 0 times

...