Smartly Prepare Exam with Free Online Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Practice Test

We offer the latest Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 practice test designed for free and effective online Databricks Certified Associate Developer for Apache Spark 3.0 certification preparation. It's a simulation of the real Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 exam experience, built to help you understand the structure, complexity, and topics you'll face on exam day.

Question 1

If spark is running in client mode, which of the following statement about is correct ?

Options :

A : Spark driver is attributed to the machine that has the most resources

B : Spark driver is randomly attributed to a machine in the cluster

C : The entire spark application is run on a single machine

D : Spark driver remainse on the client machine that submitted the application.

Answer: D

Question 2

Which of the following code blocks adds a column predErrorSqrt to DataFrame transactionsDf that is the square root of column predError?

Options :

A : transactionsDf.withColumn("predErrorSqrt", sqrt(predError))

B : transactionsDf.select(sqrt(predError))

C : transactionsDf.withColumn("predErrorSqrt", col("predError").sqrt())

D : transactionsDf.withColumn("predErrorSqrt", sqrt(col("predError")))

E : transactionsDf.select(sqrt("predError"))

Answer: D

Question 3

Which of the following is the deepest level in Spark's execution hierarchy?

Options :

A : Job

B : Task

C : Executor

D : Slot

E : Stage

Answer: B

Question 4

Which of the following statements about lazy evaluation is incorrect?

Options :

A : Predicate pushdown is a feature resulting from lazy evaluation.

B : Execution is triggered by transformations.

C : Spark will fail a job only during execution, but not during definition.

D : Accumulators do not change the lazy evaluation model of Spark.

E : Lineages allow Spark to coalesce transformations into stages

Answer: B

Question 5

The code block shown below should return a new DataFrame with 25 percent of random records from dataframe df without replacement. Choose the response that

correctly fills in the numbered blanks within the code block to complete this task.

Code block:

df._1_(_2_, _3_, _4_)

Options :

A :

1. sample

2. False

3. 25

4. 5

B :

1. sample

2. False

3. 0.25

4. 5

C :

1. sample

2. True

3. 0.25

4. 5

D :

1. take

2. False

3. 0.25

4. 5

E :

1. random

2. False

3. 0.25

4. 5

F :

1. sample

2. False

3. 0.5

4. 25

Answer: B