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Guide for Pyspark Interview Questions

Quiz Pyspark Interview Questions

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/ 10

Quiz

1/10
Data Manipulation
Which method is used to select columns from a PySpark dataframe?
Select the answer
1 correct answer
A.
select()
B.
filter()
C.
groupBy()
D.
orderBy()

Quiz

2/10
Distributed Processing
What is PySpark?
Select the answer
1 correct answer
A.
PySpark is a distributed processing framework for Python.
B.
PySpark is a distributed processing framework for Java.
C.
PySpark is a distributed processing framework for R.
D.
PySpark is a distributed processing framework for C++.

Quiz

3/10
Machine Learning
In machine learning, what is the process of converting categorical variables into numerical values called?
Select the answer
1 correct answer
A.
Label encoding
B.
One-hot encoding
C.
Feature scaling
D.
Dimensionality reduction

Quiz

4/10
Data Manipulation
What does the show() method do in PySpark?
Select the answer
1 correct answer
A.
Displays the first n rows of a dataframe
B.
Prints the schema of a dataframe
C.
Returns the number of rows in a dataframe
D.
Filters rows based on a condition

Quiz

5/10
Distributed Processing
Which programming language is widely used in PySpark?
Select the answer
1 correct answer
A.
Python
B.
Java
C.
R
D.
C++

Quiz

6/10
Machine Learning
Which algorithm is commonly used for classification tasks in machine learning?
Select the answer
1 correct answer
A.
K-means clustering
B.
Random Forest
C.
Linear regression
D.
Principal Component Analysis

Quiz

7/10
Data Manipulation
Which function is used to rename a column in PySpark?
Select the answer
1 correct answer
A.
withColumn()
B.
select()
C.
rename()
D.
alias()

Quiz

8/10
Distributed Processing
What is the main advantage of distributed processing in PySpark?
Select the answer
1 correct answer
A.
Faster processing speed
B.
Lower memory consumption
C.
Easier debugging
D.
Smaller code footprint

Quiz

9/10
Machine Learning
What is the purpose of cross-validation in machine learning?
Select the answer
2 correct answers
A.
To split the dataset into training and testing sets
B.
To evaluate the performance of a model on unseen data
C.
To tune hyperparameters of a model
D.
To preprocess the data before training

Quiz

10/10
Data Manipulation
How can you drop duplicate rows from a PySpark dataframe?
Select the answer
1 correct answer
A.
dropDuplicates()
B.
removeDuplicates()
C.
filterDuplicates()
D.
dropDupes()
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Info quiz:

  • Quiz name:Pyspark Interview Questions
  • Total number of questions:120
  • Number of questions for the test:100
  • Pass score:70%
  • Number of topics:3 Topics
Study topics:Number of questions:
  • Data Manipulation:40 Questions
  • Distributed Processing:40 Questions
  • Machine Learning:40 Questions

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