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PySpark Coding Test
Test duration:
20
min
No. of questions:
10
Level of experience:
Mid

PySpark Coding Test

The Pyspark online test assists recruiters and hiring managers in assessing applicant skills. The Pyspark evaluation aids in the hiring process for various employment positions, including Pyspark Developer, Python Developer, IT Analyst, and others. Our tests help to develop winning teams by improving the interview-to-selection ratio by up to 62% and reducing hiring time by up to 45%.

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Capgemini
Deloitte
The United Nations
Fujitsu
The United Nations

PySpark Coding Test

The combination of Apache Spark and Python technology creates PySpark. Python is a general-purpose, high-level programming language, whereas Apache Spark is an open-source cluster-computing platform focused on speed, ease of use, and streaming analytics. PySpark is Python's library to use Spark. By using PySpark, one can easily integrate and further work with RDD in python programming language too. Numerous features make PySpark a fantastic framework for working with massive datasets and data exploration techniques.

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Why use iMocha’s PySpark skill test?

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This PySpark skill test helps employers in many ways, including hiring a job-fit candidate within a short period, taking unbiased employee performance appraisal decisions, and reducing hassle in mass recruitment. You can reduce hiring time by up to 40% with the PySpark programming test.

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How it works

Test Summary

PySpark programmer test helps to screen candidates who possess skills as follows:

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  • Excellent knowledge of Apache Spark with Python and Hadoop Ecosystems.
  • Familiarity with Hadoop distributed frameworks.
  • Experience in design and architecture review.
  • Ability to develop data processing tasks using PySpark, such as reading data from external sources, merging data, performing data enrichment, and loading into target data destinations.

Assessing candidates with a PySpark technical test is secure and reliable. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation and image and video proctoring help detect cheating during the test.

Useful for hiring
  • PySpark Developer
  • Python Developer
Test Duration
20
min
No. of Questions
10
Level of Expertise
Mid
Topics Covered
Shuffle

Data Exploration

This assessment helps recruiters to assess candidates' ability to describe the data using statistics and graphical approach.

Data Transformation

Our PySpark coding test helps recruiters to check candidates' knowledge of transforming or updating data from one RDD into another.
Shuffle

Merging Datasets

This PySpark test assesses candidates’ understanding of using different Join types on two or more Data Frames and Datasets.
Shuffle

Machine Learning

PySpark Machine Learning checks knowledge of PySpark MLlib to do data analysis using the machine-learning algorithm.
Shuffle

Datasets

This assessment helps recruiters check candidates' knowledge of assessing distributed data collection.
Shuffle

Spark Streaming

This skill test allows recruiters to check candidates' proficiency using Spark streaming to support both batch and streaming workloads.
Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.
Question type
Multiple Option
Topics covered
Data Transformation
Difficulty
Medium

Question:

Q 1. What will be the output of the following code?
spark.sparkContext.parallelize(["this", "is", "a", "test."]).flatMap(lambda x: [x,x]).collect()
['this', 'is', 'a', 'test.']
[['this', 'this'], ['is', 'is'], ['a', 'a'], ['test.', 'test.']]
['this', 'this', 'is', 'is', 'a', 'a', 'test.', 'test.']
None of the options
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Setting the difficulty level of the test

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Combining multiple skills into one test

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Adding your own
questions to the test

Add, edit, or bulk upload your coding, MCQ, and whiteboard questions.

Requesting a tailor-made test

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FAQ
How is PySpark test customized?
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