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Quiz
Question 1/101/10
Data Manipulation
Data Manipulation
Data Manipulation
Which method is used to select columns from a PySpark dataframe?
Select the answer:Select the answer
1 correct answer
A.
select()
B.
filter()
C.
groupBy()
D.
orderBy()
The select() method is used to select specific columns from a PySpark dataframe. It allows you to choose which columns you want to keep in your result.
Right Answer: A
Quiz
Question 2/102/10
Distributed Processing
Distributed Processing
Distributed Processing
What is PySpark?
Select the answer: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++.
PySpark is the Python library for Apache Spark, which is a distributed processing framework used for big data processing and analytics.
Right Answer: A
Quiz
Question 3/103/10
Machine Learning
Machine Learning
Machine Learning
In machine learning, what is the process of converting categorical variables into numerical values called?
Select the answer:Select the answer
1 correct answer
A.
Label encoding
B.
One-hot encoding
C.
Feature scaling
D.
Dimensionality reduction
One-hot encoding is the process of converting categorical variables into numerical values by creating binary columns for each category. This allows machine learning algorithms to interpret and use these variables effectively.
Right Answer: B
Quiz
Question 4/104/10
Data Manipulation
Data Manipulation
Data Manipulation
What does the show() method do in PySpark?
Select the answer: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
The show() method is used to display the first n rows of a dataframe. It is useful for quickly inspecting the data and checking if the dataframe has been loaded correctly.
Right Answer: A
Quiz
Question 5/105/10
Distributed Processing
Distributed Processing
Distributed Processing
Which programming language is widely used in PySpark?
Select the answer:Select the answer
1 correct answer
A.
Python
B.
Java
C.
R
D.
C++
PySpark is primarily used with Python programming language due to its ease of use and extensive library support.
Right Answer: A
Quiz
Question 6/106/10
Machine Learning
Machine Learning
Machine Learning
Which algorithm is commonly used for classification tasks in machine learning?
Select the answer:Select the answer
1 correct answer
A.
K-means clustering
B.
Random Forest
C.
Linear regression
D.
Principal Component Analysis
Random Forest is a popular algorithm used for classification tasks in machine learning. It is an ensemble method that combines multiple decision trees to make accurate predictions.
Right Answer: B
Quiz
Question 7/107/10
Data Manipulation
Data Manipulation
Data Manipulation
Which function is used to rename a column in PySpark?
Select the answer:Select the answer
1 correct answer
A.
withColumn()
B.
select()
C.
rename()
D.
alias()
The alias() function is used to rename a column in PySpark. It allows you to give a new name to a column while keeping the dataframe structure intact.
Right Answer: D
Quiz
Question 8/108/10
Distributed Processing
Distributed Processing
Distributed Processing
What is the main advantage of distributed processing in PySpark?
Select the answer:Select the answer
1 correct answer
A.
Faster processing speed
B.
Lower memory consumption
C.
Easier debugging
D.
Smaller code footprint
Distributed processing allows PySpark to split and process data across multiple nodes, resulting in faster processing speed compared to traditional single-node processing.
Right Answer: A
Quiz
Question 9/109/10
Machine Learning
Machine Learning
Machine Learning
What is the purpose of cross-validation in machine learning?
Select multiple answer: (Choose 2)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
Cross-validation is a technique used to evaluate the performance of a model on unseen data. It involves splitting the dataset into multiple subsets and training the model on different combinations of these subsets. It is also used to tune hyperparameters of a model.
Right Answer: B, C
Quiz
Question 10/1010/10
Data Manipulation
Data Manipulation
Data Manipulation
How can you drop duplicate rows from a PySpark dataframe?
Select the answer:Select the answer
1 correct answer
A.
dropDuplicates()
B.
removeDuplicates()
C.
filterDuplicates()
D.
dropDupes()
The dropDuplicates() method is used to drop duplicate rows from a PySpark dataframe. It removes all rows that have the same values for all columns, keeping only one occurrence of each unique row.
Pyspark Interview Questions Practice test unlocks all online simulator questions
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Pyspark Interview Questions Practice test therefore represents an excellent tool to prepare for the actual exam together with our Technical Interview Questions practice test . Our Pyspark Interview Questions Simulator will help you assess your level of preparation and understand your strengths and weaknesses. Below you can read all the quizzes you will find in our Pyspark Interview Questions Simulator and how our unique Pyspark Interview Questions Database made up of real questions:
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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