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: Installere pyspark Opprette og bruke Pyspark UDFS Arbeider med Pyspark RDDS Python -programmeringsferdigheter SQL -spørring og manipulasjon Maskinlæring med Pyspark Datavitenskapskonsepter Håndtering av unntak og feil i Pyspark Forstå distribuert databehandling med pyspark Optimalisering av Pyspark -jobber for ytelse

PySpark Test

Q: What topics are covered in the PySpark Test?

Installere pyspark Pyspark udf Pyspark Rdd Python SQL Maskinlæring Datavitenskap

About the test:

Pyspark -testen evaluerer en kandidats kunnskap og ferdigheter i å bruke Pyspark, en Python API for Apache Spark. Testen inkluderer kodingsspørsmål for å evaluere programmeringskompetanse i Pyspark, samt flervalgsspørsmål for å vurdere forståelse av relaterte emner som Python, SQL, Machine Learning and Data Science.

Covered skills:

Installere pyspark
Pyspark Rdd
SQL
Datavitenskap

Pyspark udf
Python
Maskinlæring

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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:

Installere og sette opp Pyspark
Opprette og bruke Pyspark UDFS (brukerdefinerte funksjoner)
Arbeide med Pyspark RDDS (spenstige distribuerte datasett)
Sterk ferdigheter i python programmeringsspråk
Kompetanse i SQL -spørring
Forståelse av maskinlæringskonsepter i pyspark
Erfaring med datavitenskapsteknikker og verktøy
Evne til å analysere og behandle store datamengder
Kunnskap om Pysparks datamanipulering og transformasjonsoperasjoner
Kjennskap til Pysparks datavisualiseringsverktøy
Forståelse av Pysparks distribuerte databehandlingsmuligheter
Kompetanse i feilsøking og feilsøking av 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

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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

Dette er bare en liten prøve fra biblioteket vårt med 10.000+ spørsmål. De faktiske spørsmålene om dette Pyspark -test vil være ikke-googlable.

🧐 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 å optimalisere den første screeningsprosessen vår med oppover 75 %, og frigjorde dyrebar tid for både ansettelsesledere og vårt talentanskaffelsesteam!

Brandon Lee, Leder for mennesker, 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

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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

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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:

Installere pyspark
Opprette og bruke Pyspark UDFS
Arbeider med Pyspark RDDS
Python -programmeringsferdigheter
SQL -spørring og manipulasjon
Maskinlæring med Pyspark
Datavitenskapskonsepter
Håndtering av unntak og feil i Pyspark
Forstå distribuert databehandling med pyspark
Optimalisering av Pyspark -jobber for ytelse

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?

Installere PySpark
Installere PySpark innebærer å sette opp nødvendige avhengigheter og pakker for å kjøre PySpark -applikasjoner. Det er viktig å måle denne ferdigheten i testen for å vurdere kandidatens forståelse av Pyspark-miljøet og deres evne til å navigere i installasjonsprosessen.
Pyspark UDF
Pyspark UDF refererer til bruker- Definerte funksjoner i Pyspark, som lar brukere definere tilpassede funksjoner for å behandle og manipulere data. Måling av denne ferdigheten hjelper deg med for effektiv distribuert behandling. Testing av denne ferdigheten gjør det mulig for rekrutterere å måle kandidatens kunnskap om RDD-er og deres evne til å utføre parallelle operasjoner på distribuerte datasett.
Python
Python er et mye brukt programmeringsspråk kjent for sin enkelhet og allsidighet. Evaluering av en kandidats kommando over Python i Pyspark -konteksten bidrar til å bestemme deres kjennskap til språket og deres evne til å utnytte bibliotekene og funksjonalitetene i Pyspark -applikasjoner.
SQL
SQL (Structured Query Language ) er essensielt for datamanipulering og spørring i sammenheng med Pyspark. Å vurdere SQL -ferdigheter sikrer at kandidaten effektivt kan samhandle med databaser, utføre komplekse spørsmål og behandle data ved bruk av SQL -uttrykk og operasjoner i Pyspark.
Maskinlæring
Maskinlæring er en gren av Kunstig intelligens med algoritmer, modeller og teknikker som gjør det mulig for datamaskiner å lære av og ta spådommer eller beslutninger basert på data. Testing av denne ferdigheten hjelper til Analyse, tolkning og utvinning av verdifull innsikt fra strukturerte og ustrukturerte data. Å måle denne ferdigheten i testen hjelper til med å identifisere kandidater som effektivt kan bruke statistiske og analytiske teknikker for å transformere rå data til meningsfull informasjon ved hjelp av 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 -installasjon
Pyspark -konfigurasjon
Pyspark Dataframes
Pyspark SQL
Pyspark Mllib
Pyspark streaming
Pyspark GraphX
Pyspark DataFrame API
Pyspark RDD API
Pyspark udfs
Pyspark dataforbehandling
Pyspark Data Visualisering
Pyspark maskinlæringsalgoritmer
Pyspark Pipeline
Pyspark Model Evaluation
Pyspark Feature Engineering
Basics Python
Python kontrollstrøm
Python fungerer
Python -klasser og gjenstander
Python -fil I/O
Python feilhåndtering
Python -moduler og pakker
Python List Manipulation
Python String manipulasjon
Python Dictionary Manipulation
Python -filmanipulering
Python vanlige uttrykk
Python Numpy
Python Pandas
Python matplotlib
SQL Basics
SQL Velg spørsmål
SQL Bli med på spørsmål
SQL Aggregate -funksjoner
SQL Subqueries
SQL -begrensninger
SQL -visninger
SQL -indekser
SQL utløser
SQL lagrede prosedyrer
Maskinlæringskonsepter
Overvåket læring
Uovervåket læring
Regresjon
Klassifisering
Gruppering
Funksjonsekstraksjon
Dataforbehandling
Evalueringsmålinger
Datavisualisering
Rengjøring av data
Datatransformasjon
Dataprøvetaking
Data splitting
Modelltrening
Modellevaluering
Modelldistribusjon
Datavitenskapskonsepter
Utforskende dataanalyse
Datamanipulasjon
Datavisualisering
Statistisk analyse
Datautvinning
Data krangling
Dataintegrasjon

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What roles can I use the PySpark Test for?

Dataingeniør
Data analytiker
Dataforsker
Big Data Engineer
Forretningsanalytiker

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

Bygge og evaluere maskinlæringsmodeller med pyspark
Arbeider med Pyspark Dataframes
Implementering av funksjonsingeniørteknikker i Pyspark
Bruke statistisk analyse med Pyspark
Tuning og optimalisering av Pyspark ML -rørledninger
Utføre dataforbehandling og rengjøring med pyspark
Forstå Pyspark SQL og DataFrame API
Bruker Pyspark for å samhandle med forskjellige datakilder
Bruke avanserte analyseteknikker med Pyspark
Distribusjon av Pyspark -applikasjoner til produksjonsmiljøer

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

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Ansettelseslederne mente at de gjennom de tekniske spørsmålene de stilte under panelintervjuene, var i stand til å fortelle hvilke kandidater som scoret bedre, og differensierte med de som ikke skåret like godt. De er svært fornøyd med kvaliteten på kandidatene som er på listen med Adaface-screeningen.

85%

Reduksjon i screeningstid

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PySpark Hiring Test Vanlige spørsmål

Kan jeg kombinere flere ferdigheter til en tilpasset vurdering?

Ja absolutt. Tilpassede vurderinger er satt opp basert på stillingsbeskrivelsen din, og vil inneholde spørsmål om alle må-ha ferdigheter du spesifiserer.

Har du noen anti-juksende eller proktoreringsfunksjoner på plass?

Vi har følgende anti-juksede funksjoner på plass:

Ikke-googlable spørsmål
IP Proctoring
Nettproctoring
Webcam Proctoring
Deteksjon av plagiering
Sikker nettleser

Les mer om Proctoring -funksjonene.

Hvordan tolker jeg testresultater?

Den viktigste tingen å huske på er at en vurdering er et eliminasjonsverktøy, ikke et seleksjonsverktøy. En ferdighetsvurdering er optimalisert for å hjelpe deg med å eliminere kandidater som ikke er teknisk kvalifisert for rollen, det er ikke optimalisert for å hjelpe deg med å finne den beste kandidaten for rollen. Så den ideelle måten å bruke en vurdering på er å bestemme en terskelpoeng (vanligvis 55%, vi hjelper deg med å benchmark) og invitere alle kandidater som scorer over terskelen for de neste rundene med intervjuet.

Hvilken opplevelsesnivå kan jeg bruke denne testen til?

Hver ADAFACE -vurdering er tilpasset din stillingsbeskrivelse/ ideell kandidatperson (våre fageksperter vil velge de riktige spørsmålene for din vurdering fra vårt bibliotek med 10000+ spørsmål). Denne vurderingen kan tilpasses for ethvert opplevelsesnivå.

Får hver kandidat de samme spørsmålene?

Ja, det gjør det mye lettere for deg å sammenligne kandidater. Alternativer for MCQ -spørsmål og rekkefølgen på spørsmål er randomisert. Vi har anti-juksing/proctoring funksjoner på plass. I vår bedriftsplan har vi også muligheten til å lage flere versjoner av den samme vurderingen med spørsmål med lignende vanskelighetsnivåer.