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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Dumps : Databricks Certified Associate Developer for Apache Spark 3.0 Exam

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Databricks Certified Associate Developer for Apache Spark 3.0 Exam Questions and Answers

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Question 1

The code block displayed below contains an error. The code block should produce a DataFrame with color as the only column and three rows with color values of red, blue, and green, respectively.

Find the error.

Code block:

1.spark.createDataFrame([("red",), ("blue",), ("green",)], "color")

Instead of calling spark.createDataFrame, just DataFrame should be called.

Options:

A.

The commas in the tuples with the colors should be eliminated.

B.

The colors red, blue, and green should be expressed as a simple Python list, and not a list of tuples.

C.

Instead of color, a data type should be specified.

D.

The "color" expression needs to be wrapped in brackets, so it reads ["color"].

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Question 2

In which order should the code blocks shown below be run in order to create a table of all values in column attributes next to the respective values in column supplier in DataFrame itemsDf?

1. itemsDf.createOrReplaceView("itemsDf")

2. spark.sql("FROM itemsDf SELECT 'supplier', explode('Attributes')")

3. spark.sql("FROM itemsDf SELECT supplier, explode(attributes)")

4. itemsDf.createOrReplaceTempView("itemsDf")

Options:

A.

4, 3

B.

1, 3

C.

2

D.

4, 2

E.

1, 2

Question 3

Which of the following code blocks reads in parquet file /FileStore/imports.parquet as a DataFrame?

Options:

A.

spark.mode("parquet").read("/FileStore/imports.parquet")

B.

spark.read.path("/FileStore/imports.parquet", source="parquet")

C.

spark.read().parquet("/FileStore/imports.parquet")

D.

spark.read.parquet("/FileStore/imports.parquet")

E.

spark.read().format('parquet').open("/FileStore/imports.parquet")

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