Why you should use PySpark Test?

The Pyspark -test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects: Pyspark installeren Pyspark UDF's maken en gebruiken Werken met Pyspark RDDS Python programmeervaardigheden SQL -vragen en manipulatie Machine learning met Pyspark Concepten voor data science Het verwerken van uitzonderingen en fouten in Pyspark Inzicht in gedistribueerd computergebruik met Pyspark Pyspark -banen optimaliseren voor prestaties

PySpark Test

Q: What topics are covered in the PySpark Test?

Pyspark installeren Pyspark udf Pyspark RDD Python Sql Machine Learning Data Science

About the test:

De PySpark -test evalueert de kennis en vaardigheden van een kandidaat bij het gebruik van PySpark, een Python API voor Apache Spark. De test omvat coderingsvragen om de programmeercompetentie in PySpark te evalueren, evenals meerkeuzevragen om het begrip van gerelateerde onderwerpen zoals Python, SQL, machine learning en data science te beoordelen.

Covered skills:

Pyspark installeren
Pyspark RDD
Sql
Data Science

Pyspark udf
Python
Machine Learning

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9 reasons why

Adaface PySpark Assessment Test is the most accurate way to shortlist Data Engineers

Reason #1

Tests for on-the-job skills

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:

Pyspark installeren en instellen
PySpark UDF's maken en gebruiken (door de gebruiker gedefinieerde functies)
Werken met PySpark RDDS (Resilient Distributed Datasets)
Sterke vaardigheid in Python -programmeertaal
Vaardigheid in SQL -vragen
Inzicht in concepten van machine learning in Pyspark
Ervaring met data science -technieken en tools
Mogelijkheid om grote hoeveelheden gegevens te analyseren en te verwerken
Kennis van de gegevensmanipulatie- en transformatieactiviteiten van Pyspark
Bekendheid met de datavisualisatietools van Pyspark
Inzicht in de gedistribueerde computermogelijkheden van Pyspark
Vaardigheid in foutopsporing en probleemoplossing Pyspark -code

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable 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

Dit zijn slechts een klein monster uit onze bibliotheek met meer dan 10.000 vragen. De werkelijke vragen hierover Pyspark -test zal niet-googelbaar zijn.

🧐 Question
Medium ZeroDivisionError and IndexError Exceptions	Try practice test
What will the following Python code output?
Medium Session File Handling Dictionary	Try practice test
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?
Medium Max Code Arrays	Try practice test
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:
Medium Recursive Function Recursion Dictionary Lists	Try practice test
Consider the following Python code: 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	Try practice test
What does the below function ‘fun’ does? 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	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
Medium Select & IN Nested queries	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
Medium Sorting Ubers Nested queries Join Comparison operators	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
Hard With, AVG & SUM MAX() MIN() Aggregate functions	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill
	Medium ZeroDivisionError and IndexError Exceptions	2 mins Python	Try practice test
What will the following Python code output?
	Medium Session File Handling Dictionary	2 mins Python	Try practice test
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?
	Medium Max Code Arrays	2 mins Python	Try practice test
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:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Try practice test
Consider the following Python code: 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	4 mins Python	Try practice test
What does the below function ‘fun’ does? 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	2 mins SQL	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	Medium nth highest sales Nested queries User Defined Functions	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Medium Select & IN Nested queries	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Medium Sorting Ubers Nested queries Join Comparison operators	3 mins SQL	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	Hard With, AVG & SUM MAX() MIN() Aggregate functions	2 mins SQL	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	ZeroDivisionError and IndexError Exceptions	Python	Medium	2 mins	Try practice test
What will the following Python code output?
	Session File Handling Dictionary	Python	Medium	2 mins	Try practice test
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?
	Max Code Arrays	Python	Medium	2 mins	Try practice test
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:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Try practice test
Consider the following Python code: 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?
	Stacking problem Stack Linkedlist	Python	Medium	4 mins	Try practice test
What does the below function ‘fun’ does? 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.
	Multi Select JOIN GROUP BY	SQL	Medium	2 mins	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	nth highest sales Nested queries User Defined Functions	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Select & IN Nested queries	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Sorting Ubers Nested queries Join Comparison operators	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	With, AVG & SUM MAX() MIN() Aggregate functions	SQL	Hard	2 mins	Try practice test
Consider the following SQL table: How many tuples does the following query return?

Reason #4

1200+ customers in 75 countries

Met Adaface konden we ons eerste screeningproces met ruim 75% optimaliseren, waardoor kostbare tijd vrijkwam voor zowel de rekruteringsmanagers als ons talentacquisitieteam!

Brandon Lee, Hoofd Mensen, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Pyspark -test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Pyspark -test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

Bekijk Sample Scorecard

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the PySpark Online Test

Why you should use Pre-employment PySpark Test?

The Pyspark -test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Pyspark installeren
Pyspark UDF's maken en gebruiken
Werken met Pyspark RDDS
Python programmeervaardigheden
SQL -vragen en manipulatie
Machine learning met Pyspark
Concepten voor data science
Het verwerken van uitzonderingen en fouten in Pyspark
Inzicht in gedistribueerd computergebruik met Pyspark
Pyspark -banen optimaliseren voor prestaties

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the PySpark Test?

Pyspark UDF
PySpark UDF verwijst naar gebruikers Gedefinieerde functies in Pyspark, waarmee gebruikers aangepaste functies kunnen definiëren om gegevens te verwerken en te manipuleren. Het meten van deze vaardigheid helpt bij het evalueren van de bekwaamheid van de kandidaat bij het benutten van de krachtige UDF -mogelijkheden van Pyspark voor geavanceerde gegevenstransformaties.
Pyspark RDD
Pyspark RDD (Resilient Distributed Dataset) is een fundamentele gegevensstructuur die wordt gebruikt in Pyspark voor efficiënte gedistribueerde verwerking. Door deze vaardigheid te testen, kunnen recruiters de kennis van de kandidaat van RDD's meten en hun vermogen om parallelle bewerkingen uit te voeren op gedistribueerde datasets.
python
Python is een veelgebruikte programmeertaal die bekend staat om zijn eenvoud en veelzijdigheid. Het evalueren van het commando van een kandidaat over python in de PySpark -context helpt bij het bepalen van hun bekendheid met de taal en hun vermogen om de bibliotheken en functionaliteiten in PySpark -toepassingen te benutten.
SQL
SQL (gestructureerde querytaal ) is essentieel voor gegevensmanipulatie en vragen in de context van Pyspark. Het beoordelen van SQL -vaardigheden zorgt ervoor dat de kandidaat effectief kan interageren met databases, complexe query's kan uitvoeren en procesgegevens kan uitvoeren met behulp van SQL -expressies en bewerkingen in Pyspark.
machine learning
Machine Learning is een tak van een tak van een tak van Kunstmatige intelligentie met algoritmen, modellen en technieken waarmee computers kunnen leren van en voorspellingen of beslissingen kunnen nemen op basis van gegevens. Het testen van deze vaardigheid helpt bij het evalueren van het begrip van de kandidaat van concepten voor machine learning en hun vermogen om relevante algoritmen toe te passen om gegevensproblemen in de praktijk binnen PySpark op te lossen. Analyse, interpretatie en extractie van waardevolle inzichten uit gestructureerde en ongestructureerde gegevens. Het meten van deze vaardigheid in de test helpt bij het identificeren van kandidaten die effectief statistische en analytische technieken kunnen toepassen om onbewerkte gegevens te transformeren in zinvolle informatie met behulp van PySpark.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Pyspark -test to be based on.
Pyspark -installatie
Pyspark -configuratie
Pyspark DataFrames
Pyspark SQL
Pyspark mllib
Pyspark streaming
Pyspark Graphx
Pyspark DataFrame API
Pyspark RDD API
Pyspark udfs
Pyspark -gegevens voorbewerking
Pyspark Data Visualisatie
Pyspark machine learning algoritmen
Pyspark -pijpleiding
Pyspark -modelevaluatie
Pyspark Feature Engineering
Python Basics
Python -controlestroom
Python -functies
Python -klassen en objecten
Python -bestand I/O
Python -foutafhandeling
Python -modules en pakketten
Python -lijstmanipulatie
Python stringmanipulatie
Python Dictionary Manipulation
Python -bestandsmanipulatie
Python reguliere uitdrukkingen
Python Numpy
Python Pandas
Python matplotlib
SQL Basics
SQL Selecteer vragen
SQL Join Queries
SQL geaggregeerde functies
SQL -subquery's
SQL -beperkingen
SQL -weergaven
SQL -indexen
SQL -triggers
SQL opgeslagen procedures
Machine learning concepten
Leren onder toezicht
Zonder toezicht leren
Regressie
Classificatie
Clustering
Feature extractie
Gegevens voorbewerking
Evaluatiemetrieken
Data visualisatie
Gegevensreiniging
Gegevenstransformatie
Gegevensbemonstering
Gegevenssplitsing
Modelopleiding
Modelevaluatie
Modelimplementatie
Concepten voor data science
Verkennende gegevensanalyse
Data manipulatie
Data visualisatie
Statistische analyse
Datamining
Gegevens ruzie
Gegevens integratie

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What roles can I use the PySpark Test for?

Data Engineer
Data -analist
Data scientist
Big Data Engineer
Bedrijfsanalist

How is the PySpark Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Modellen voor het bouwen en evalueren van machine learning -modellen met Pyspark
Werken met PySpark DataFrames
Feature engineering technieken implementeren in Pyspark
Statistische analyse toepassen met Pyspark
Tuning en optimaliseren van Pyspark ML -pijpleidingen
Gegevensvoorbewerking uitvoeren en reinigen met Pyspark
Inzicht in PySpark SQL en DataFrame API
Pyspark gebruiken om te communiceren met verschillende gegevensbronnen
Geavanceerde analysetechnieken toepassen met Pyspark
Pyspark -applicaties inzetten in productieomgevingen

The coding question for experienced candidates will be of a higher difficulty level to evaluate more hands-on experience.

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De rekruteringsmanagers waren van mening dat ze door de technische vragen die ze tijdens de panelgesprekken stelden, konden zien welke kandidaten beter scoorden, en onderscheidden ze zich met degenen die niet zo goed scoorden. Zij zijn zeer tevreden met de kwaliteit van de kandidaten op de shortlist van de Adaface-screening.

85%

Vermindering van de screeningstijd

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PySpark Hiring Test Veelgestelde vragen

Kan ik meerdere vaardigheden combineren in één aangepaste beoordeling?

Ja absoluut. Aangepaste beoordelingen zijn opgezet op basis van uw functiebeschrijving en bevatten vragen over alle must-have vaardigheden die u opgeeft.

Heeft u functies tegen latere of proctoring op hun plaats?

We hebben de volgende anti-cheating-functies op zijn plaats:

Niet-googelbare vragen
IP Proctoring
Web Proctoring
Webcam Proctoring
Plagiaatdetectie
Beveilig browser

Lees meer over de Proctoring -functies.

Hoe interpreteer ik testscores?

Het belangrijkste om in gedachten te houden is dat een beoordeling een eliminatietool is, geen selectietool. Een vaardighedenbeoordeling is geoptimaliseerd om u te helpen kandidaten te elimineren die niet technisch gekwalificeerd zijn voor de rol, het is niet geoptimaliseerd om u te helpen de beste kandidaat voor de rol te vinden. Dus de ideale manier om een beoordeling te gebruiken is om een drempelscore te bepalen (meestal 55%, wij helpen u benchmark) en alle kandidaten uit te nodigen die boven de drempel scoren voor de volgende interviewrondes.

Voor welk ervaringsniveau kan ik deze test gebruiken?

Elke ADAFACE -beoordeling is aangepast aan uw functiebeschrijving/ ideale kandidaatpersonage (onze experts van het onderwerp zullen de juiste vragen kiezen voor uw beoordeling uit onze bibliotheek van 10000+ vragen). Deze beoordeling kan worden aangepast voor elk ervaringsniveau.

Krijgt elke kandidaat dezelfde vragen?

Ja, het maakt het veel gemakkelijker voor u om kandidaten te vergelijken. Opties voor MCQ -vragen en de volgorde van vragen worden gerandomiseerd. We hebben anti-cheating/proctoring functies. In ons bedrijfsplan hebben we ook de optie om meerdere versies van dezelfde beoordeling te maken met vragen over vergelijkbare moeilijkheidsniveaus.