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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

Which of the following code blocks returns a DataFrame with a single column in which all items in column attributes of DataFrame itemsDf are listed that contain the letter i?

Sample of DataFrame itemsDf:

1.+------+----------------------------------+-----------------------------+-------------------+

2.|itemId|itemName |attributes |supplier |

3.+------+----------------------------------+-----------------------------+-------------------+

4.|1 |Thick Coat for Walking in the Snow|[blue, winter, cozy] |Sports Company Inc.|

5.|2 |Elegant Outdoors Summer Dress |[red, summer, fresh, cooling]|YetiX |

6.|3 |Outdoors Backpack |[green, summer, travel] |Sports Company Inc.|

7.+------+----------------------------------+-----------------------------+-------------------+

Options:

A.

itemsDf.select(explode("attributes").alias("attributes_exploded")).filter(attributes_exploded.contains("i"))

B.

itemsDf.explode(attributes).alias("attributes_exploded").filter(col("attributes_exploded").contains("i"))

C.

itemsDf.select(explode("attributes")).filter("attributes_exploded".contains("i"))

D.

itemsDf.select(explode("attributes").alias("attributes_exploded")).filter(col("attributes_exploded").contains("i"))

E.

itemsDf.select(col("attributes").explode().alias("attributes_exploded")).filter(col("attributes_exploded").contains("i"))

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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 returns a DataFrame that has all columns of DataFrame transactionsDf and an additional column predErrorSquared which is the squared value of column

predError in DataFrame transactionsDf?

Options:

A.

transactionsDf.withColumn("predError", pow(col("predErrorSquared"), 2))

B.

transactionsDf.withColumnRenamed("predErrorSquared", pow(predError, 2))

C.

transactionsDf.withColumn("predErrorSquared", pow(col("predError"), lit(2)))

D.

transactionsDf.withColumn("predErrorSquared", pow(predError, lit(2)))

E.

transactionsDf.withColumn("predErrorSquared", "predError"**2)

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