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About the test:

Pyspark测试评估了候选人使用Pyspark的知识和技能,Pyspark是Apache Spark的Python API。该测试包括编码问题,以评估Pyspark中的编程能力,以及评估对相关主题的理解,例如Python,SQL,机器学习和数据科学。

Covered skills:

  • 安装Pyspark
  • Pyspark RDD
  • SQL
  • 数据科学
  • Pyspark UDF
  • Python
  • 机器学习

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9 reasons why
9 reasons why

Adaface PySpark Assessment Test is the most accurate way to shortlist 数据工程师s



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:

  • 安装和设置Pyspark
  • 创建和使用Pyspark UDFS(用户定义的功能)
  • 使用Pyspark RDD(弹性分布式数据集)
  • 熟练熟练Python编程语言
  • 精通SQL查询
  • 理解Pyspark中的机器学习概念
  • 有数据科学技术和工具的经验
  • 分析和处理大量数据的能力
  • 了解Pyspark的数据操纵和转换操作
  • 熟悉Pyspark的数据可视化工具
  • 了解Pyspark的分布式计算功能
  • 精通调试和故障排除Pyspark代码
Reason #2

No trick questions

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

这些只是我们库中有10,000多个问题的一个小样本。关于此的实际问题 Pyspark测试 将是不可行的.

🧐 Question

Medium

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

Medium

Session
File Handling
Dictionary
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 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
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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
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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
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What does the below function ‘fun’ does?
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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
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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
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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
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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
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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
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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
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Medium

Session
File Handling
Dictionary

2 mins

Python
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Medium

Max Code
Arrays

2 mins

Python
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Medium

Recursive Function
Recursion
Dictionary
Lists

3 mins

Python
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Medium

Stacking problem
Stack
Linkedlist

4 mins

Python
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Medium

Multi Select
JOIN
GROUP BY

2 mins

SQL
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Medium

nth highest sales
Nested queries
User Defined Functions

3 mins

SQL
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Medium

Select & IN
Nested queries

3 mins

SQL
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Medium

Sorting Ubers
Nested queries
Join
Comparison operators

3 mins

SQL
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Hard

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

2 mins

SQL
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🧐 Question🔧 Skill💪 Difficulty⌛ Time
ZeroDivisionError and IndexError
Exceptions
Python
Medium2 mins
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Session
File Handling
Dictionary
Python
Medium2 mins
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Max Code
Arrays
Python
Medium2 mins
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Recursive Function
Recursion
Dictionary
Lists
Python
Medium3 mins
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Stacking problem
Stack
Linkedlist
Python
Medium4 mins
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Multi Select
JOIN
GROUP BY
SQL
Medium2 mins
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nth highest sales
Nested queries
User Defined Functions
SQL
Medium3 mins
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Select & IN
Nested queries
SQL
Medium3 mins
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Sorting Ubers
Nested queries
Join
Comparison operators
SQL
Medium3 mins
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With, AVG & SUM
MAX() MIN()
Aggregate functions
SQL
Hard2 mins
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Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

借助 Adaface,我们能够将初步筛选流程优化达 75% 以上,为招聘经理和我们的人才招聘团队节省了宝贵的时间!


Brandon Lee, 人事主管, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Pyspark测试 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测试 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.

invite candidates
Reason #7

Detailed scorecards & benchmarks

查看样本记分卡
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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.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the PySpark Online Test

Why you should use Pre-employment PySpark Test?

The Pyspark测试 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:

  • 安装Pyspark
  • 创建和使用Pyspark UDFS
  • 与Pyspark RDDS合作
  • Python编程技能
  • SQL查询和操纵
  • 与Pyspark的机器学习
  • 数据科学概念
  • 处理pyspark中的异常和错误
  • 使用Pyspark了解分布式计算
  • 优化Pyspark作业以进行性能

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?

  • 安装Pyspark

    安装Pyspark涉及设置必要的依赖项和软件包以运行Pyspark应用程序。在测试中衡量这项技能很重要,以评估候选人对Pyspark环境的理解及其导航安装过程的能力。

  • pyspark udf udf

    pyspark udf介绍用户 - Pyspark中定义的功能,该功能允许用户定义自定义功能来处理和操纵数据。衡量此技能有助于评估候选人在利用Pyspark强大的UDF功能进行高级数据转换方面的能力。

  • pyspark rdd

    pyspark rdd(resilient分布式数据集)是Pyspark的基本数据结构用于有效的分布式处理。测试此技能使招聘人员可以评估候选人对RDD的了解及其在分布式数据集上进行并行操作的能力。

  • Python

    Python是一种以其简单性而闻名的python和多功能性。在Pyspark上下文中评估候选人对Python的命令有助于确定他们对语言的熟悉程度,并能够利用Pyspark应用程序中的库和功能。

  • sql </h4> sql

    sql(结构化的查询语言) )对于在Pyspark的背景下进行数据操作和查询至关重要。评估SQL技能可确保候选人可以使用Pyspark中的SQL表达式和操作有效地与数据库进行互动,执行复杂的查询并处理数据。

  • 机器学习

    机器学习是具有算法,模型和技术的人工智能使计算机能够根据数据学习并做出预测或决策。测试这项技能有助于评估候选人对机器学习概念的理解及其应用相关算法来解决PySpark中现实世界中数据问题的能力。

  • 数据科学

    数据科学涉及从结构化和非结构化数据中分析,解释和提取有价值的见解。测量测试中的这一技能有助于确定可以有效地应用统计和分析技术以使用Pyspark将原始数据转换为有意义的信息的候选人。

  • 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测试 to be based on.

    Pyspark安装
    Pyspark配置
    PYSPARK DATAFRAMES
    Pyspark SQL
    Pyspark mllib
    Pyspark流
    Pyspark Graphx
    Pyspark DataFrame API
    Pyspark RDD API
    Pyspark UDFS
    PYSPARK数据预处理
    Pyspark数据可视化
    Pyspark机器学习算法
    Pyspark管道
    Pyspark模型评估
    Pyspark功能工程
    Python基础知识
    Python控制流
    Python功能
    python课程和对象
    python文件i/o
    Python错误处理
    Python模块和包装
    Python列表操纵
    Python弦乐操纵
    Python词典操纵
    Python文件操作
    Python正则表达式
    python numpy
    Python Pandas
    Python matplotlib
    SQL基础知识
    SQL选择查询
    SQL加入查询
    SQL聚合功能
    SQL子征服
    SQL约束
    SQL视图
    SQL索引
    SQL触发器
    SQL存储过程
    机器学习概念
    监督学习
    无监督的学习
    回归
    分类
    聚类
    特征提取
    数据预处理
    评估指标
    数据可视化
    数据清洁
    数据转换
    数据采样
    数据拆分
    模型培训
    模型评估
    模型部署
    数据科学概念
    探索性数据分析
    数据操纵
    数据可视化
    统计分析
    数据挖掘
    数据争吵
    数据集成
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What roles can I use the PySpark Test for?

  • 数据工程师
  • 数据分析师
  • 数据科学家
  • 大数据工程师
  • 业务分析师

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

  • 使用Pyspark建立和评估机器学习模型
  • 使用Pyspark数据框
  • 在Pyspark中实施功能工程技术
  • 使用Pyspark应用统计分析
  • 调整和优化Pyspark ML管道
  • 使用Pyspark进行数据预处理和清洁
  • 了解Pyspark SQL和DataFrame API
  • 使用Pyspark与各种数据源进行交互
  • 使用Pyspark应用高级分析技术
  • 将Pyspark应用程序部署到生产环境

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

Singapore government logo

招聘经理认为,通过小组面试中提出的技术问题,他们能够判断哪些候选人得分更高,并与得分较差的候选人区分开来。他们是 非常满意 通过 Adaface 筛选入围的候选人的质量。


85%
减少筛查时间

PySpark Hiring Test 常见问题解答

我可以将多个技能结合在一起,为一个自定义评估吗?

是的,一点没错。自定义评估是根据您的职位描述进行的,并将包括有关您指定的所有必备技能的问题。

您是否有任何反交换或策略功能?

我们具有以下反交易功能:

  • 不可解决的问题
  • IP策略
  • Web Protoring
  • 网络摄像头Proctoring
  • 窃检测
  • 安全浏览器

阅读有关[Proctoring功能](https://www.adaface.com/proctoring)的更多信息。

如何解释考试成绩?

要记住的主要问题是评估是消除工具,而不是选择工具。优化了技能评估,以帮助您消除在技术上没有资格担任该角色的候选人,它没有进行优化以帮助您找到该角色的最佳候选人。因此,使用评估的理想方法是确定阈值分数(通常为55%,我们为您提供基准测试),并邀请所有在下一轮面试中得分高于门槛的候选人。

我可以使用该测试的经验水平?

每个ADAFACE评估都是为您的职位描述/理想候选角色定制的(我们的主题专家将从我们的10000多个问题的图书馆中选择正确的问题)。可以为任何经验级别定制此评估。

每个候选人都会得到同样的问题吗?

是的,这使您比较候选人变得容易得多。 MCQ问题的选项和问题顺序是随机的。我们有[抗欺骗/策略](https://www.adaface.com/proctoring)功能。在我们的企业计划中,我们还可以选择使用类似难度级别的问题创建多个版本的相同评估。

我是候选人。我可以尝试练习测试吗?

不,不幸的是,我们目前不支持实践测试。但是,您可以使用我们的[示例问题](https://www.adaface.com/questions)进行练习。

使用此测试的成本是多少?

您可以查看我们的[定价计划](https://www.adaface.com/pricing/)。

我可以免费试用吗?

我刚刚搬到了一个付费计划。我如何要求自定义评估?

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40 min tests.
No trick questions.
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