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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

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)

Question 3

Which of the following code blocks produces the following output, given DataFrame transactionsDf?

Output:

1.root

2. |-- transactionId: integer (nullable = true)

3. |-- predError: integer (nullable = true)

4. |-- value: integer (nullable = true)

5. |-- storeId: integer (nullable = true)

6. |-- productId: integer (nullable = true)

7. |-- f: integer (nullable = true)

DataFrame transactionsDf:

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

2.|transactionId|predError|value|storeId|productId| f|

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

4.| 1| 3| 4| 25| 1|null|

5.| 2| 6| 7| 2| 2|null|

6.| 3| 3| null| 25| 3|null|

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

Options:

A.

transactionsDf.schema.print()

B.

transactionsDf.rdd.printSchema()

C.

transactionsDf.rdd.formatSchema()

D.

transactionsDf.printSchema()

E.

print(transactionsDf.schema)

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