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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?

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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

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Antonio
11 months ago
I'm not sure, but I think D) spark_df.summary() could also work for this task.
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Tresa
11 months ago
This is a trick question, isn't it? I bet the real answer is hidden in the documentation somewhere. Time to get reading!
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Marshall
11 months ago
No, I believe it's A) spark_df.describe()
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Billy
11 months ago
I think the answer is D) spark_df.summary()
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Isadora
12 months ago
Haha, I bet the answer is hidden in one of those weird-looking Databricks commands. Definitely not going with option E, that's for sure!
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Carline
11 months ago
Let's go with spark_df.summary() then.
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Annice
11 months ago
Yeah, that sounds right. I don't think it's option E either.
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Hayley
11 months ago
I think the answer might be spark_df.summary()
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Corazon
12 months ago
C'mon, there has to be a one-liner to get this done. I don't want to write a bunch of code just to see some histograms.
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Irma
12 months ago
I agree with Kara, because describe() provides summary statistics including histograms.
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Nakita
12 months ago
I'm not sure about this dbutils thing. Isn't there a built-in way to do this in Spark? I think option D might be the way to go.
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Melissa
12 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.
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Sharee
11 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.
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Isaiah
11 months ago
D) spark_df.summary()
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Josephine
11 months ago
B) dbutils.data(spark_df).summarize()
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Dortha
12 months ago
A) spark_df.describe()
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Kara
12 months ago
I think the answer is A) spark_df.describe().
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