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Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:

1. Given the following code snippet in my_spark_app.py:

What is the role of the driver node?

A) The driver node stores the final result after computations are completed by worker nodes
B) The driver node orchestrates the execution by transforming actions into tasks and distributing them to worker nodes
C) The driver node holds the DataFrame data and performs all computations locally
D) The driver node only provides the user interface for monitoring the application

2. A developer wants to test Spark Connect with an existing Spark application.
What are the two alternative ways the developer can start a local Spark Connect server without changing their existing application code? (Choose 2 answers)

A) Add .remote("sc://localhost") to their SparkSession.builder calls in their Spark code
B) Set the environment variable SPARK_REMOTE="sc://localhost" before starting the pyspark shell
C) Execute their pyspark shell with the option --remote "https://localhost"
D) Ensure the Spark property spark.connect.grpc.binding.port is set to 15002 in the application code
E) Execute their pyspark shell with the option --remote "sc://localhost"

3. What is the risk associated with this operation when converting a large Pandas API on Spark DataFrame back to a Pandas DataFrame?

A) The operation will load all data into the driver's memory, potentially causing memory overflow
B) The conversion will automatically distribute the data across worker nodes
C) The operation will fail if the Pandas DataFrame exceeds 1000 rows
D) Data will be lost during conversion

4. 38 of 55.
A data engineer is working with Spark SQL and has a large JSON file stored at /data/input.json.
The file contains records with varying schemas, and the engineer wants to create an external table in Spark SQL that:
Reads directly from /data/input.json.
Infers the schema automatically.
Merges differing schemas.
Which code snippet should the engineer use?

A) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', mergeSchema 'true');
B) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', mergeAll 'true');
C) CREATE EXTERNAL TABLE users
USING json
OPTIONS (path '/data/input.json', inferSchema 'true');
D) CREATE TABLE users
USING json
OPTIONS (path '/data/input.json');

5. 10 of 55.
What is the benefit of using Pandas API on Spark for data transformations?

A) It is available only with Python, thereby reducing the learning curve.
B) It runs on a single node only, utilizing memory efficiently.
C) It computes results immediately using eager execution.
D) It executes queries faster using all the available cores in the cluster as well as provides Pandas's rich set of features.

Solutions: