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: Installation af pyspark Oprettelse og brug af Pyspark UDF'er Arbejder med Pyspark RDDS Python -programmeringsevner SQL -forespørgsel og manipulation Maskinlæring med pyspark Datavidenskabskoncepter Håndtering af undtagelser og fejl i pyspark Forståelse af distribueret computing med pyspark Optimering af Pyspark -job til ydeevne

PySpark Test

Q: What topics are covered in the PySpark Test?

Installation af pyspark Pyspark UDF Pyspark RDD Python SQL Maskinelæring Datavidenskab

About the test:

Pyspark -testen evaluerer en kandidats viden og færdigheder ved at bruge Pyspark, et Python API til Apache Spark. Testen inkluderer kodningsspørgsmål til evaluering af programmeringskompetence i Pyspark samt spørgsmål med flere valg for at vurdere forståelsen af relaterede emner såsom Python, SQL, maskinlæring og datavidenskab.

Covered skills:

Installation af pyspark
Pyspark RDD
SQL
Datavidenskab

Pyspark UDF
Python
Maskinelæring

Preview this test

Se prøvescorekort

9 reasons why

Adaface PySpark Assessment Test is the most accurate way to shortlist Dataingeniørs

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:

Installation og opsætning af pyspark
Oprettelse og brug af Pyspark UDF'er (brugerdefinerede funktioner)
Arbejde med Pyspark RDDS (Resilient Distribuerede datasæt)
Stærk færdigheder i Python -programmeringssprog
Færdighed i SQL -forespørgsel
Forståelse af maskinlæringskoncepter i pyspark
Erfaring med datavidenskabsteknikker og værktøjer
Evne til at analysere og behandle store mængder data
Kendskab til Pysparks datamanipulation og transformationsoperationer
Fortrolighed med Pysparks datavisualiseringsværktøjer
Forståelse af Pysparks distribuerede computerkapaciteter
Kendskab til fejlfinding og fejlfinding af pyspark -kode

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

Preview this test

Se prøvescorekort

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

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Pyspark -test vil være ikke-gåbart.

🧐 Question
Medium ZeroDivisionError and IndexError Exceptions	Solve
What will the following Python code output?
Medium Session File Handling Dictionary	Solve
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	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:
Medium Recursive Function Recursion Dictionary Lists	Solve
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	Solve
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	Solve
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Solve
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	Solve
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	Solve
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	Solve
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill
	Medium ZeroDivisionError and IndexError Exceptions	2 mins Python	Solve
What will the following Python code output?
	Medium Session File Handling Dictionary	2 mins Python	Solve
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	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:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
What will the following Python code output?
	Session File Handling Dictionary	Python	Medium	2 mins	Solve
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	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:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
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	Solve
Consider the following SQL table: How many tuples does the following query return?

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

Preview this test

Se prøvescorekort

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

Se prøvescorekort

Preview this test

Se prøvescorekort

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

Preview this test

Se prøvescorekort

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:

Installation af pyspark
Oprettelse og brug af Pyspark UDF'er
Arbejder med Pyspark RDDS
Python -programmeringsevner
SQL -forespørgsel og manipulation
Maskinlæring med pyspark
Datavidenskabskoncepter
Håndtering af undtagelser og fejl i pyspark
Forståelse af distribueret computing med pyspark
Optimering af Pyspark -job til ydeevne

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 henviser til bruger- Definerede funktioner i Pyspark, som giver brugerne mulighed for at definere brugerdefinerede funktioner til at behandle og manipulere data. Måling af denne færdighed hjælper med at evaluere kandidatens færdigheder i at udnytte Pysparks kraftfulde UDF -kapaciteter til avancerede datatransformationer.
pyspark RDD
pyspark RDD (Resilient Distribueret datasæt) er en grundlæggende datastruktur, der bruges i pyspark til effektiv distribueret behandling. Test af denne færdighed giver rekrutterere mulighed for at måle kandidatens viden om RDD'er og deres evne til at udføre parallelle operationer på distribuerede datasæt.
python
python er et bredt anvendt programmeringssprog, der er kendt for sin enkelhed og alsidighed. Evaluering af en kandidats kommando over Python i Pyspark -konteksten hjælper med at bestemme deres fortrolighed med sproget og deres evne til at udnytte dets biblioteker og funktionaliteter inden for Pyspark -applikationer.
sql
sql (struktureret forespørgselssprog. ) er vigtig for datamanipulation og forespørgsel i sammenhæng med Pyspark. Evaluering af SQL -færdigheder sikrer, at kandidaten effektivt kan interagere med databaser, udføre komplekse forespørgsler og procesdata ved hjælp af SQL -udtryk og operationer i Pyspark.
Maskinindlæring
Maskinindlæring er en gren af Kunstig intelligens med algoritmer, modeller og teknikker, der gør det muligt for computere at lære af og foretage forudsigelser eller beslutninger baseret på data. Testning af denne færdighed hjælper med at evaluere kandidatens forståelse af maskinlæringskoncepter og deres evne til at anvende relevante algoritmer til at løse de virkelige verdensproblemer inden for Pyspark.
datavidenskab
Datavidenskab involverer Analyse, fortolkning og ekstraktion af værdifuld indsigt fra strukturerede og ustrukturerede data. Måling af denne færdighed i testen hjælper med at identificere kandidater, der effektivt kan anvende statistiske og analytiske teknikker til at omdanne rå data til meningsfuld information ved hjælp af 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 -installation
Pyspark -konfiguration
Pyspark dataframes
Pyspark SQL
Pyspark Mllib
Pyspark -streaming
Pyspark GraphX
Pyspark DataFrame API
Pyspark RDD API
Pyspark udfs
Pyspark -dataforarbejdning
Pyspark -datavisualisering
Pyspark maskinlæringsalgoritmer
Pyspark rørledning
Pyspark -modelevaluering
Pyspark Feature Engineering
Grundlæggende om Python
Python Control Flow
Python fungerer
Python -klasser og genstande
Python -fil I/O
Python -fejlhåndtering
Python -moduler og pakker
Python List Manipulation
Python -strengmanipulation
Python Dictionary Manipulation
Python -filmanipulation
Python regelmæssige udtryk
Python Numpy
Python Pandas
Python Matplotlib
SQL Basics
SQL Vælg forespørgsler
SQL slutter sig til forespørgsler
SQL -samlede funktioner
SQL -underspil
SQL -begrænsninger
SQL -visninger
SQL -indekser
SQL -triggere
SQL lagrede procedurer
Maskinindlæringskoncepter
Overvåget læring
Uovervåget læring
Regression
Klassifikation
Klynger
Funktionsekstraktion
Dataforarbejdning
Evalueringsmålinger
Datavisualisering
Datarensning
Datatransformation
Prøveudtagning af data
Dataopdeling
Modeltræning
Modelevaluering
Modelinstallation
Datavidenskabskoncepter
Undersøgende dataanalyse
Datamanipulation
Datavisualisering
Statistisk analyse
Data mining
Data Wrangling
Dataintegration

Preview this test

Se prøvescorekort

What roles can I use the PySpark Test for?

Dataingeniør
Dataanalytiker
Dataforsker
Big Data Engineer
Business analytiker

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

Bygning og evaluering af maskinlæringsmodeller med pyspark
Arbejder med Pyspark Dataframes
Implementering af funktionsteknikkerteknikker i pyspark
Anvendelse af statistisk analyse med pyspark
Tuning og optimering af Pyspark ML -rørledninger
Udførelse af forarbejdning og rengøring af data med pyspark
Forståelse af Pyspark SQL og DataFrame API
Brug af Pyspark til at interagere med forskellige datakilder
Anvendelse af avancerede analyseteknikker med pyspark
Implementering af Pyspark -applikationer til produktionsmiljøer

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

Preview this test

Se prøvescorekort

Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

Se den fulde casestudie

PySpark Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.