Free Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Questions

Become Databricks Certified with updated Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 exam questions and correct answers

Page: 1 / 84

Total 420 Questions | Updated On: Mar 27, 2025

Add To Cart

Question 1

Which of the following is true for driver ?

A : a chunk of data that sit on a single machine in a cluster.

B : ponsible for executing work that will be completed in parallel.

C : ponsible for assigning work that will be completed in parallel.

D : ports the state of some computation back to a central system.

E : ponsible for allocating resources for worker nodes.

Answer: C

Question 2

The code block shown below contains an error. Identify the error.

1. def squared(s):

2. return s * s

4. spark.udf.register("square", squared)

5. spark.range(1, 20).createOrReplaceTempView("test")

6. spark.sql(“select id, squared(id) as id_squared from test”)

A : We need to use function ‘square’ instead of ‘squared’ in the sql command. Proper command should be:spark.sql(“select id, square(id) as id_squared from test”)

B : ere is no error in the code.We need to add quotes when using udf in sql. Proper usage should be:spark.sql(“select id, “squared(id)” as id_squared from test”)

C : We are not referring to right database. Proper command should be:spark.sql(“select id, squared(id) as id_squared from temp_test”)

D : ere is no column id created in the database.

Answer: A

Question 3

Which of the following is one of the big performance advantages that Spark has over Hadoop?

A : ark achieves great performance by storing data in the DAG format, whereas Hadoop can only use parquet files.

B : ark achieves higher resiliency for queries since, different from Hadoop, it can be deployed on Kubernetes

C : ark achieves great performance by storing data and performing computation in memory, whereas large jobs in Hadoop require a large amount of relatively slow disk I/O operations

D : ark achieves great performance by storing data in the HDFS format, whereas Hadoop can only use parquet files

E : ark achieves performance gains for developers by extending Hadoop's DataFrames with a user-friendly API.

Answer: C

Question 4

Which of the following 3 DataFrame operations are classified as a wide transformation ? Choose 3 answers:

A : derBy()

B : che()

C : tinct()

D : op()

E : lter()

F : partition()

Answer:

Question 5

Which of the followings are useful use cases of spark ?

A : alyzing graph data sets and social networks

B : ilding, training, and evaluating machine learning models using MLlib

C : ocessing in parallel large data sets distributed across a cluster

D : rforming ad hoc or interactive queries to explore and visualize data sets

E : l of the answers are correct.

Answer: A

Page: 1 / 84

Total 420 Questions | Updated On: Mar 27, 2025

Add To Cart