In PySpark interviews, they focus on your SQL skills and problem-solving abilities. Here are some tough questions from recent interviews.
PySpark General Interview Questions
1. What is your role?
A PySpark Data Engineer is vital for developing and managing big data systems using PySpark, a Python tool for Apache Spark. They build and enhance data infrastructure to help with various data tasks in a company.
2. What are day-to-day activities?
- Requirements analysis
- Data ingestion from different data sources
- Design, develop, and implement PySpark data processing Pipelines
- Troubleshooting and performance improvement of PySpark jobs and tweaking configurations
3. What technical skills do you excel in?
- Python
- NumPy
- Pandas
- SQL
- Databases
- ETL process
- AWS
- Azure Databricks
“Learning is a treasure that will follow its owner everywhere.”
Chinese Proverb
PySpark Technical questions
Q.1). How do we transform the data as below using the PySpark?
1|A, B, C, D, E
2|E, F, G
As
1A
1B
1C
1D
1E
2E
2F
2G
Solution
%python
from pyspark.sql import SparkSession
from pyspark.sql.functions import explode, split, concat
from pyspark.sql.types import StringType, StructType, StructField
# Create a Spark session
spark = SparkSession.builder.appName("data_transformation").getOrCreate()
# Given data
data = ["1|A, B, C, D, E", "2|E, F, G"]
# Define the schema
schema = StructType([StructField("column", StringType(), True)])
# Convert data to a DataFrame
rdd = spark.sparkContext.parallelize(data)
df = spark.createDataFrame(rdd.map(lambda x: (x,)), schema)
df.show()
# Split the data based on the pipe (|) and explode the array of values
df_transformed = (
df.withColumn("id", split("column", "\\|")[0])
.withColumn("values", split("column", "\\|")[1])
.withColumn("value", explode(split("values", ", ")))
.selectExpr("id", "trim(value) as value")
)
# Show the transformed data
df_concat = df_transformed.select(concat("id", "value").alias("Concated"))
df_concat.show()
Output
+---------------+
| column|
+---------------+
|1|A, B, C, D, E|
| 2|E, F, G|
+---------------+
+--------+
|Concated|
+--------+
| 1A|
| 1B|
| 1C|
| 1D|
| 1E|
| 2E|
| 2F|
| 2G|
+--------+
Q.2). How many rows are displayed in Innner join?
Table T1
1
1
1
2
null
Table T2
1
1
null
null
2
Output
The answer will be 7 rows
Q.3). How many rows will be displayed with UNION?
Output
Only 3 rows
-----
ID
1
2
-
Download CSV
3 rows selected.PySpark Leadership interview questions
Q.1) What’s the role of a leader?
A Data Engineer in a leadership role manages the design, development, and maintenance of strong and scalable data systems. This position requires technical skills, project management, and effective communication to ensure data projects align with organizational goals.
Srinimf 
You must be logged in to post a comment.