Databricks Exam Databricks Certified Associate Developer for Apache Spark 3.0 Topic 2 Question 65 Discussion

Actual exam question for Databricks's Databricks Certified Associate Developer for Apache Spark 3.0 exam

Question #: 65
Topic #: 2

[All Databricks Certified Associate Developer for Apache Spark 3.0 Questions]

Which of the following code blocks shows the structure of a DataFrame in a tree-like way, containing both column names and types?

A1. print(itemsDf.columns)
2. print(itemsDf.types)

BitemsDf.printSchema()

Cspark.schema(itemsDf)

DitemsDf.rdd.printSchema()

EitemsDf.print.schema()

Show Suggested Answer

Suggested Answer: B

itemsDf.printSchema()

Correct! Here is an example of what itemsDf.printSchema() shows, you can see the tree-like structure containing both column names and types:

root

|-- itemId: integer (nullable = true)

|-- attributes: array (nullable = true)

| |-- element: string (containsNull = true)

|-- supplier: string (nullable = true)

itemsDf.rdd.printSchema()

No, the DataFrame's underlying RDD does not have a printSchema() method.

spark.schema(itemsDf)

Incorrect, there is no spark.schema command.

print(itemsDf.columns)

print(itemsDf.dtypes)

Wrong. While the output of this code blocks contains both column names and column types, the information is not arranges in a tree-like way.

itemsDf.print.schema()

No, DataFrame does not have a print method.

Static notebook | Dynamic notebook: See test 3, Question: 36 (Databricks import instructions)

by Xenia at Sep 13, 2024, 11:15 AM

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Mona

8 months ago

B is the clear winner here. The other options either don't show the full schema or are just plain silly.

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Lacey

9 months ago

Haha, I almost went with E. `itemsDf.print.schema()` - sounds like something a comedy writer would come up with!

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Matthew

7 months ago

User1: D) itemsDf.rdd.printSchema() is not the right option for displaying the DataFrame structure.

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Lonny

8 months ago

User3: A) print(itemsDf.columns) and print(itemsDf.types) also display the column names and types.

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Tommy

8 months ago

User2: B) itemsDf.printSchema() shows the structure of a DataFrame in a tree-like way.

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Fausto

8 months ago

User1: I almost went with E. `itemsDf.print.schema()` - sounds like something a comedy writer would come up with!

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Levi

9 months ago

I agree, B is the correct answer. The other options don't quite capture the tree-like structure with column names and types.

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Clay

9 months ago

Definitely B, `itemsDf.printSchema()` is the way to go! It's the most concise and straightforward option.

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Tijuana

8 months ago

User3: I always use `printSchema()` to check the DataFrame structure.

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Iesha

8 months ago

Yeah, it's simple and easy to understand.

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Augustine

8 months ago

I agree, `itemsDf.printSchema()` is the best choice.

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Noah

9 months ago

Hey, at least we're not asked to write any code! I'd probably end up with a syntax error or two if that were the case.

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Domingo

8 months ago

Haha, yeah, coding can be tricky sometimes!

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Cristy

8 months ago

B) itemsDf.printSchema()

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Tricia

8 months ago

A) 1. print(itemsDf.columns) 2. print(itemsDf.types)

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Nathan

9 months ago

Hmm, I was leaning towards Option D, but I guess that's not the right way to go about it. Rookie mistake, I suppose.

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Iluminada

8 months ago

User1: Thanks for the clarification, I'll go with Option B then.

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Boris

8 months ago

User3: Yeah, Option B is the one that shows the structure of a DataFrame in a tree-like way.

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Aileen

8 months ago

I agree, Option B is the way to go.

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Lucia

9 months ago

I think Option B is the correct one.

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Dan

9 months ago

I'm not sure, but I think D) itemsDf.rdd.printSchema() might also work. It's worth considering as an alternative option.

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Roslyn

10 months ago

Haha, true that! Coding on exams is the worst. I'm just glad we get to choose from multiple-choice options here.

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Francoise

8 months ago

I always get nervous during coding exams.

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Rodolfo

9 months ago

That's the correct option for displaying DataFrame structure.

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Twanna

9 months ago

B) itemsDf.printSchema()

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Dion

10 months ago

I agree with Curt. B) itemsDf.printSchema() is the right choice because it displays both column names and types.

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Roxanne

10 months ago

Option B is the correct answer. itemsDf.printSchema() displays the schema of the DataFrame in a tree-like format, showing both column names and data types.

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Dean

9 months ago

Yes, that's correct. It shows the structure of the DataFrame in a tree-like way.

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Tatum

9 months ago

I think the answer is B) itemsDf.printSchema()

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Curt

10 months ago

I think the answer is B) itemsDf.printSchema(). It shows the structure of a DataFrame in a tree-like way.

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