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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

Question 1

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

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Question 2

The code block displayed below contains an error. The code block below is intended to add a column itemNameElements to DataFrame itemsDf that includes an array of all words in column

itemName. Find the error.

Sample of DataFrame itemsDf:

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

2.|itemId|itemName |supplier |

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

4.|1 |Thick Coat for Walking in the Snow|Sports Company Inc.|

5.|2 |Elegant Outdoors Summer Dress |YetiX |

6.|3 |Outdoors Backpack |Sports Company Inc.|

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

Code block:

itemsDf.withColumnRenamed("itemNameElements", split("itemName"))

itemsDf.withColumnRenamed("itemNameElements", split("itemName"))

Options:

A.

All column names need to be wrapped in the col() operator.

B.

Operator withColumnRenamed needs to be replaced with operator withColumn and a second argument "," needs to be passed to the split method.

C.

Operator withColumnRenamed needs to be replaced with operator withColumn and the split method needs to be replaced by the splitString method.

D.

Operator withColumnRenamed needs to be replaced with operator withColumn and a second argument " " needs to be passed to the split method.

E.

The expressions "itemNameElements" and split("itemName") need to be swapped.

Question 3

Which of the following describes the conversion of a computational query into an execution plan in Spark?

Options:

A.

Spark uses the catalog to resolve the optimized logical plan.

B.

The catalog assigns specific resources to the optimized memory plan.

C.

The executed physical plan depends on a cost optimization from a previous stage.

D.

Depending on whether DataFrame API or SQL API are used, the physical plan may differ.

E.

The catalog assigns specific resources to the physical plan.