Why you should use PySpark Test?

The Teste Pyspark 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: Instalando o Pyspark Criando e usando pyspark udfs Trabalhando com Pyspark RDDs Habilidades de programação Python Consulta e manipulação do SQL Aprendizado de máquina com pyspark Conceitos de ciência de dados Manipulando exceções e erros no Pyspark Compreendendo a computação distribuída com Pyspark Otimizando trabalhos Pyspark para desempenho

PySpark Test

Q: What topics are covered in the PySpark Test?

Instalando o Pyspark Pyspark udf Pyspark Rdd Pitão SQL Aprendizado de máquina Ciência dos dados

About the test:

O teste Pyspark avalia o conhecimento e as habilidades de um candidato no uso de Pyspark, uma API Python para Apache Spark. O teste inclui perguntas de codificação para avaliar a competência de programação no Pyspark, bem como perguntas de múltipla escolha para avaliar o entendimento de tópicos relacionados como Python, SQL, aprendizado de máquina e ciência de dados.

Covered skills:

Instalando o Pyspark
Pyspark Rdd
SQL
Ciência dos dados

Pyspark udf
Pitão
Aprendizado de máquina

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9 reasons why

Adaface PySpark Assessment Test is the most accurate way to shortlist Engenheiro de dadoss

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:

Instalando e configurando o Pyspark
Criando e usando o Pyspark UDFS (funções definidas pelo usuário)
Trabalhando com RDDs Pyspark (conjuntos de dados distribuídos resilientes)
Forte proficiência na linguagem de programação Python
Proficiência na consulta SQL
Compreensão dos conceitos de aprendizado de máquina em Pyspark
Experiência com técnicas e ferramentas de ciência de dados
Capacidade de analisar e processar grandes volumes de dados
Conhecimento das operações de manipulação e transformação de dados da Pyspark
Familiaridade com as ferramentas de visualização de dados da Pyspark
Compreensão dos recursos de computação distribuída da Pyspark
Proficiência em depuração e solução de problemas Código Pyspark

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

Estes são apenas uma pequena amostra da nossa biblioteca de mais de 10.000 perguntas. As perguntas reais sobre isso Teste Pyspark será não-googleable.

🧐 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

Com o Adaface, conseguimos otimizar nosso processo de seleção inicial em mais de 75%, liberando um tempo precioso tanto para os gerentes de contratação quanto para nossa equipe de aquisição de talentos!

Brandon Lee, Chefe de Pessoas, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Teste Pyspark 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 Teste Pyspark 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 Teste Pyspark 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:

Instalando o Pyspark
Criando e usando pyspark udfs
Trabalhando com Pyspark RDDs
Habilidades de programação Python
Consulta e manipulação do SQL
Aprendizado de máquina com pyspark
Conceitos de ciência de dados
Manipulando exceções e erros no Pyspark
Compreendendo a computação distribuída com Pyspark
Otimizando trabalhos Pyspark para desempenho

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?

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 Teste Pyspark to be based on.
Instalação Pyspark
Configuração do Pyspark
Pyspark DataFrames
Pyspark SQL
Pyspark Mllib
Pyspark Streaming
Pyspark GraphX
API do PysPark DataFrame
Pyspark RDD API
Pyspark UDFS
Pyspark Data Pré -processamento
Visualização de dados Pyspark
Algoritmos de aprendizado de máquina Pyspark
Oleoduto Pyspark
Avaliação do modelo Pyspark
Engenharia de recursos Pyspark
Python Basics
Fluxo de controle Python
Funções python
Classes e objetos Python
E/S do arquivo python
Manipulação de erros de Python
Módulos e pacotes de python
Manipulação da lista de Python
Manipulação de cordas do python
Manipulação do Dicionário Python
Manipulação do arquivo python
Expressões regulares do Python
Python Numpy
Python Pandas
Python matplotlib
SQL Basics
SQL Selecione consultas
SQL Juntar consultas
Funções agregadas SQL
Subcerras SQL
Restrições SQL
Visualizações SQL
Índices SQL
Os gatilhos SQL
Procedimentos armazenados do SQL
Conceitos de aprendizado de máquina
Aprendizado supervisionado
Aprendizado não supervisionado
Regressão
Classificação
Clustering
Extração de recursos
Pré -processamento de dados
Métricas de avaliação
Visualização de dados
Limpeza de dados
Transformação de dados
Amostragem de dados
Divisão de dados
Treinamento modelo
Avaliação do modelo
Modelo de implantação
Conceitos de ciência de dados
Análise exploratória de dados
Manipulação de dados
Visualização de dados
Análise Estatística
Mineração de dados
Disputa de dados
Integração de dados

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What roles can I use the PySpark Test for?

Engenheiro de dados
Analista de informações
Cientista de dados
Engenheiro de big data
Analista de negócios

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

Construindo e avaliando modelos de aprendizado de máquina com Pyspark
Trabalhando com dados de dados Pyspark
Implementando técnicas de engenharia de recursos em Pyspark
Aplicando análise estatística com Pyspark
Ajustando e otimizando os pipelines Pyspark ML
Executando o pré -processamento e limpeza de dados com Pyspark
Entendendo o Pyspark SQL e a API de DataFrame
Usando Pyspark para interagir com várias fontes de dados
Aplicando técnicas de análise avançada com Pyspark
Implantando aplicativos Pyspark em ambientes de produção

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

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Os gerentes de contratação sentiram que, por meio das perguntas técnicas feitas durante as entrevistas do painel, foram capazes de dizer quais candidatos tiveram melhores pontuações e diferenciaram aqueles que não tiveram pontuações tão boas. Eles são altamente satisfeito com a qualidade dos candidatos selecionados na triagem Adaface.

85%

Redução no tempo de triagem

Veja o estudo de caso completo

PySpark Hiring Test Perguntas frequentes

Posso combinar várias habilidades em uma avaliação personalizada?

Sim absolutamente. As avaliações personalizadas são configuradas com base na descrição do seu trabalho e incluirão perguntas sobre todas as habilidades obrigatórias que você especificar.

Você tem algum recurso anti-trapaça ou procurador?

Temos os seguintes recursos anti-trapaça:

Perguntas não-goleadas
IP Proctoring
Web Proctoring
Proctoring da webcam
Detecção de plágio
navegador seguro

Leia mais sobre os Recursos de Proctoring.

Como interpreto as pontuações dos testes?

O principal a ter em mente é que uma avaliação é uma ferramenta de eliminação, não uma ferramenta de seleção. Uma avaliação de habilidades é otimizada para ajudá -lo a eliminar os candidatos que não são tecnicamente qualificados para o papel, não é otimizado para ajudá -lo a encontrar o melhor candidato para o papel. Portanto, a maneira ideal de usar uma avaliação é decidir uma pontuação limite (normalmente 55%, ajudamos você a comparar) e convidar todos os candidatos que pontuam acima do limiar para as próximas rodadas da entrevista.

Para que nível de experiência posso usar este teste?

Cada avaliação do Adaface é personalizada para a descrição do seu trabalho/ persona do candidato ideal (nossos especialistas no assunto escolherão as perguntas certas para sua avaliação de nossa biblioteca de mais de 10000 perguntas). Esta avaliação pode ser personalizada para qualquer nível de experiência.

Todo candidato recebe as mesmas perguntas?

Sim, facilita muito a comparação de candidatos. As opções para perguntas do MCQ e a ordem das perguntas são randomizadas. Recursos anti-traking/proctoring no local. Em nosso plano corporativo, também temos a opção de criar várias versões da mesma avaliação com questões de níveis de dificuldade semelhantes.