PySpark Certification Practice Test 01
Foundation Concepts
PySpark Certification Practice Test 01
Foundation Concepts
Insightful Saga — Modern Data Engineering Certification Preparation
Question 1
A newly joined Data Engineer at a retail company is asked to process 2 TB of sales data every night. The company requires distributed processing across multiple machines instead of relying on a single server. What is the PRIMARY reason PySpark is being used?
### Explanation PySpark distributes workload across multiple executors, enabling large-scale data processing.
Question 2
A banking company creates a Spark application. Which component acts as the central coordinator of the application?
Question 3
A newly hired Data Engineer executes: ```python df.filter(col("salary") > 50000) ``` No output appears and no job runs. What Spark concept explains this behavior?
Question 4
A healthcare company processes patient records using DataFrames. Which Spark abstraction is generally preferred for modern ETL development?
Question 5
A retail company stores customer transactions in a DataFrame. The engineer wants to display the first 20 rows. Which action will trigger execution?
Question 6
A newly joined engineer asks: "What component performs the actual computation on worker nodes?"
Question 7
A PySpark application contains: ```python df.filter(col("amount") > 1000) .select("customer_id") ``` These operations are examples of:
Question 8
A telecom company executes: ```python df.count() ``` What type of operation is count()?
Question 9
A manufacturing company loads data into Spark. The dataset is automatically divided into smaller units before processing. These units are called:
Question 10
A newly hired engineer wants to start working with Spark DataFrames. Which object is usually created first?
Question 11
A retail workflow contains multiple transformations. Spark builds an execution plan before processing begins. This execution plan is known as:
Question 12
A Data Engineer runs: ```python df.collect() ``` What is the result?
Question 13
A banking company processes billions of records. Why should collect() be used carefully?
Question 14
A healthcare company reads a CSV file. Which command is commonly used? ```python spark.read.csv(...) ``` This operation creates:
Question 15
A newly joined engineer wants SQL capabilities on top of Spark DataFrames. What Spark component provides this foundation?
Question 16
A company performs: ```python df.filter(...) ``` followed by ```python df.show() ``` When does actual execution begin?
Question 17
A logistics company processes petabytes of shipment data. What key Spark characteristic makes this possible?
Question 18
A newly joined engineer hears: "The Driver creates tasks and sends them to Executors." Which statement is TRUE?
Question 19
A PySpark application contains several transformations followed by count(). How many jobs are typically triggered by count()?
Question 20
A newly hired PySpark Engineer is asked: "What is the primary benefit of PySpark?" Choose the BEST answer.
### Explanation PySpark enables distributed computation across clusters, allowing organizations to process massive datasets efficiently. --- --- title: PySpark Certification Practice Test 02 description: DataFrame Operations and Transformations --- # PySpark Certification Practice Test 02