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PySpark Test

The PySpark Test evaluates a candidate's knowledge and skills in using PySpark, a Python API for Apache Spark. The test includes coding questions to evaluate programming competency in PySpark, as well as multiple-choice questions to assess understanding of related topics such as Python, SQL, Machine Learning and Data Science.

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Screen candidates with a 45 mins test

Test duration:  ~ 45 mins
Difficulty level:  Moderate
Availability:  Available as custom test
Questions:
  • 4 Python MCQs
  • 4 PySpark MCQs
  • 4 SQL MCQs
  • 1 Python Coding Question
Covered skills:
Installing PySpark
PySpark UDF
PySpark RDD
Python
SQL
Machine Learning
Data Science
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Use the PySpark Assessment Test to shortlist qualified candidates

The PySpark Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Installing and setting up PySpark
  • Creating and using PySpark UDFs (User Defined Functions)
  • Working with PySpark RDDs (Resilient Distributed Datasets)
  • Strong proficiency in Python programming language
  • Proficiency in SQL querying
  • Understanding of Machine Learning concepts in PySpark
  • Experience with Data Science techniques and tools
  • Ability to analyze and process large volumes of data
  • Knowledge of PySpark's data manipulation and transformation operations
  • Familiarity with PySpark's data visualization tools
  • Understanding of PySpark's distributed computing capabilities
  • Proficiency in debugging and troubleshooting PySpark code
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Screen candidates with the highest quality questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this PySpark Test will be non-googleable.

🧐 Question

Medium

ZeroDivisionError and IndexError
Exceptions
Solve
What will the following Python code output?
 image

Medium

Session
File Handling
Dictionary
Solve
 image
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file:
Tony,10
Stark,12
Black,25
Your program should ignore a non-conforming line like this one.
Stark,3
Widow,6
Widow,14
The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 }
What should replace the CODE TO FILL line to complete the function?
 image

Medium

Max Code
Arrays
Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
 image

Medium

Recursive Function
Recursion
Dictionary
Lists
Solve
Consider the following Python code:
 image
In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None.

nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target.

What will the output be after executing the above code?

Medium

Stacking problem
Stack
Linkedlist
Solve
What does the below function ‘fun’ does?
 image
A: Sum of digits of the number passed to fun.
B: Number of digits of the number passed to fun.
C: 0 if the number passed to fun is divisible by 10. 1 otherwise.
D: Sum of all digits number passed to fun except for the last digit.

Medium

Multi Select
JOIN
GROUP BY
Solve
Consider the following SQL table:
 image
How many rows does the following SQL query return?
 image

Medium

nth highest sales
Nested queries
User Defined Functions
Solve
Consider the following SQL table:
 image
Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
 image

Medium

Select & IN
Nested queries
Solve
Consider the following SQL table:
 image
Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
 image

Medium

Sorting Ubers
Nested queries
Join
Comparison operators
Solve
Consider the following SQL table:
 image
What will be the first two tuples resulting from the following SQL command?
 image

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions
Solve
Consider the following SQL table:
 image
How many tuples does the following query return?
 image
🧐 Question🔧 Skill

Medium

ZeroDivisionError and IndexError
Exceptions

2 mins

Python
Solve

Medium

Session
File Handling
Dictionary

2 mins

Python
Solve

Medium

Max Code
Arrays

2 mins

Python
Solve

Medium

Recursive Function
Recursion
Dictionary
Lists

3 mins

Python
Solve

Medium

Stacking problem
Stack
Linkedlist

4 mins

Python
Solve

Medium

Multi Select
JOIN
GROUP BY

2 mins

SQL
Solve

Medium

nth highest sales
Nested queries
User Defined Functions

3 mins

SQL
Solve

Medium

Select & IN
Nested queries

3 mins

SQL
Solve

Medium

Sorting Ubers
Nested queries
Join
Comparison operators

3 mins

SQL
Solve

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions

2 mins

SQL
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
ZeroDivisionError and IndexError
Exceptions
Python
Medium2 mins
Solve
Session
File Handling
Dictionary
Python
Medium2 mins
Solve
Max Code
Arrays
Python
Medium2 mins
Solve
Recursive Function
Recursion
Dictionary
Lists
Python
Medium3 mins
Solve
Stacking problem
Stack
Linkedlist
Python
Medium4 mins
Solve
Multi Select
JOIN
GROUP BY
SQL
Medium2 mins
Solve
nth highest sales
Nested queries
User Defined Functions
SQL
Medium3 mins
Solve
Select & IN
Nested queries
SQL
Medium3 mins
Solve
Sorting Ubers
Nested queries
Join
Comparison operators
SQL
Medium3 mins
Solve
With, AVG & SUM
MAX() MIN()
Aggregate functions
SQL
Hard2 mins
Solve

Test candidates on core PySpark Hiring Test topics

Installing PySpark: Installing PySpark involves setting up the necessary dependencies and packages to run PySpark applications. It is important to measure this skill in the test to assess the candidate's understanding of the PySpark environment and their ability to navigate the installation process.

PySpark UDF: PySpark UDF refers to User-Defined Functions in PySpark, which allow users to define custom functions to process and manipulate data. Measuring this skill helps evaluate the candidate's proficiency in leveraging PySpark's powerful UDF capabilities for advanced data transformations.

PySpark RDD: PySpark RDD (Resilient Distributed Dataset) is a fundamental data structure used in PySpark for efficient distributed processing. Testing this skill allows recruiters to gauge the candidate's knowledge of RDDs and their ability to perform parallel operations on distributed datasets.

Python: Python is a widely-used programming language known for its simplicity and versatility. Evaluating a candidate's command over Python in the PySpark context helps determine their familiarity with the language and their ability to leverage its libraries and functionalities within PySpark applications.

SQL: SQL (Structured Query Language) is essential for data manipulation and querying in the context of PySpark. Assessing SQL skills ensures that the candidate can effectively interact with databases, perform complex queries, and process data using SQL expressions and operations in PySpark.

Machine Learning: Machine Learning is a branch of artificial intelligence with algorithms, models, and techniques that enable computers to learn from and make predictions or decisions based on data. Testing this skill assists in evaluating the candidate's understanding of machine learning concepts and their ability to apply relevant algorithms to solve real-world data problems within PySpark.

Data Science: Data Science involves the analysis, interpretation, and extraction of valuable insights from structured and unstructured data. Measuring this skill in the test helps identify candidates who can effectively apply statistical and analytical techniques to transform raw data into meaningful information using PySpark.

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Have questions about the PySpark Hiring Test?

How does pricing work?

You can check out our pricing plans.

Can I customize the test?

Yes, absolutely. Custom assessments are set up within 48 hours based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test. You can also customize a test by uploading your own questions.

Can I combine multiple skills into one test?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

What roles can I use the PySpark Assessment Test for?

Here are few roles for which we recommend this test:

  • Data Engineer
  • Data Analyst
  • Data Scientist
  • Big Data Engineer
  • Business Analyst
Can I see a sample test, or do you have a free trial?

Yes!

The free trial includes one sample technical test (Java/ JavaScript) and one sample aptitude test that you will find in your dashboard when you sign up. You can use it to review the quality of questions and the candidate experience of giving a test on Adaface.

You can preview any of the 500+ tests and see the sample questions to decide if it would be a good fit for your requirements.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

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