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About the test:

Numpy在线测试使用多项选择问题来评估候选人的知识和技能与Numpy阵列和操作,索引和切片,线性代数和统计信息,广播,UFUNCS和矢量化以及数据输入和输出。该测试旨在评估候选人对Numpy的熟练程度及其使用Python应用数值计算和数据分析技术的能力。

Covered skills:

  • 数组创建
  • 数组操作
  • 线性代数
  • 广播
  • 阵列索引和切片
  • 数学功能
  • 文件处理
  • 性能优化

9 reasons why
9 reasons why

Adaface Numpy Test is the most accurate way to shortlist Python开发人员s



Reason #1

Tests for on-the-job skills

The Numpy Online 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:

  • 能够使用numpy有效地创建和操纵数组
  • 彻底了解阵列索引和切片概念
  • 熟练执行各种阵列操作
  • 使用Numpy舒适地使用数学功能并执行数学计算
  • 在numpy中的线性代数概念和应用的强烈掌握
  • 使用numpy熟悉文件处理和阅读/写作数据
  • 了解Numpy的广播及其好处
  • 能够优化性能并提高Numpy计算的执行速度
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
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 在线Numpy测试 将是不可行的.

🧐 Question

Medium

Array Manipulation and Summation
Array Manipulation
Mathematical Operations
Solve
Consider the following code snippet:
 image
What will be the value of G after executing the code?

Medium

Matrix Eigenvalues and Diagonalization
Linear Algebra
Matrix Operations
Solve
Consider the following code snippet:
 image
After running this code, which of the following statements is true regarding the B matrix?

Medium

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

Medium

Session
File Handling
Dictionary
Solve
 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
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:
 image

Medium

Recursive Function
Recursion
Dictionary
Lists
Solve
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
Solve
What does the below function ‘fun’ does?
 image
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.
🧐 Question🔧 Skill

Medium

Array Manipulation and Summation
Array Manipulation
Mathematical Operations

2 mins

NumPy
Solve

Medium

Matrix Eigenvalues and Diagonalization
Linear Algebra
Matrix Operations

3 mins

NumPy
Solve

Medium

ZeroDivisionError and IndexError
Exceptions

2 mins

Python
Solve

Medium

Session
File Handling
Dictionary

2 mins

Python
Solve

Medium

Max Code
Arrays

2 mins

Python
Solve

Medium

Recursive Function
Recursion
Dictionary
Lists

3 mins

Python
Solve

Medium

Stacking problem
Stack
Linkedlist

4 mins

Python
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Array Manipulation and Summation
Array Manipulation
Mathematical Operations
NumPy
Medium2 mins
Solve
Matrix Eigenvalues and Diagonalization
Linear Algebra
Matrix Operations
NumPy
Medium3 mins
Solve
ZeroDivisionError and IndexError
Exceptions
Python
Medium2 mins
Solve
Session
File Handling
Dictionary
Python
Medium2 mins
Solve
Max Code
Arrays
Python
Medium2 mins
Solve
Recursive Function
Recursion
Dictionary
Lists
Python
Medium3 mins
Solve
Stacking problem
Stack
Linkedlist
Python
Medium4 mins
Solve
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高达 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

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment 在线Numpy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 在线Numpy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

Reason #7

Detailed scorecards & benchmarks

Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

View sample scorecard
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 Numpy Assessment Test

Why you should use Pre-employment Numpy Online Test?

The 在线Numpy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:

  • 数组创建
  • 阵列索引和切片
  • 数组操作
  • 数学功能
  • 线性代数
  • 文件处理
  • 广播
  • 性能优化
  • 将Numpy与Python集成
  • 用numpy进行数据操作

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 Numpy Online Test?

  • 数组创建

    数组创建是指用数据初始化数组的过程。它包括诸如NP.Array(),NP.Zeros(),np.ones()和NP.Arange()之类的功能,该功能允许用户创建所需形状的数组,并用特定的值填充它们。在测试中测量了该技能,以评估候选人有效地创建和操纵阵列的能力,这在许多数据操纵和分析任务中至关重要。

  • 数组索引和切片

    阵列索引切片涉及访问和提取数组的特定元素或部分。 Numpy库提供了各种索引技术,例如使用整数或数组索引索引整数数组索引,布尔数组索引和高级索引。在测试中评估这项技能有助于评估候选人根据特定要求提取和操纵阵列数据的熟练程度。

  • 数组操作

    阵列操作参考在数学和逻辑操作上,请参阅数学和逻辑操作,例如加法,减法,乘法,除法,指示和比较。这些操作可以在元素或矩阵方面执行,从而可以在大型数据集上进行有效的计算。在测试中包括此技能有助于衡量候选人执行基本阵列操作的能力,这在数据分析和科学计算中至关重要。

  • 数学功能

    numpy中的数学功能包括各种数学诸如三角函数,对数函数,指数函数和统计功能之类的操作。这些功能允许在阵列中有效地计算和操纵数值数据。评估测试中的这一技能有助于评估候选人对数据处理和分析的数学功能的理解和应用。

  • 线性代数

    numpy中的线性代数涉及与向量,矩阵,矩阵,矩阵,矩阵,矩阵,矩阵,,和线性方程。它包括用于矩阵乘法,矩阵倒置,查找特征值和特征向量,求解线性方程和执行矩阵分解的功能。测量测试中的这一技能有助于确定候选人在各个领域(例如机器学习和科学计算)中使用的基本线性代数操作的知识和熟练程度。

  • 文件处理

    numpy中的文件处理是指从外部文件中读取和写入数组数据的能力。 Numpy提供了诸如NP.Loadtxt()和NP.Savetxt()之类的功能,该功能以不同的文件格式启用读取和编写数组。评估测试中的这一技能有助于评估候选人处理存储在文件中的数据的能力,这在实际数据处理和分析任务中至关重要。

  • 广播

    广播是一个强大的广播允许在不同形状的阵列之间执行算术操作的Numpy功能。它消除了对明确循环的需求,并可以使用不同尺寸的数组来实现有效的计算。测试此技能有助于衡量候选人对广播的理解和使用,这对于避免不必要的代码复杂性并提高了计算效率至关重要。

  • 性能优化

    numpy中的性能优化涉及实施技术来实施技术提高计算的效率和速度。这可能包括使用优化的numpy函数,使用适当的数据类型进行矢量化操作,并采用为性能量身定制的算法。评估测试中的这一技能有助于确定候选人优化执行的能力,这在处理大型数据集或计算密集的任务时至关重要。

  • 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 在线Numpy测试 to be based on.

    数组创建
    数组索引
    阵列切片
    数组操作
    数学功能
    线性代数
    文件处理
    广播
    性能优化
    阵列重塑
    阵列串联
    阵列分裂
    数组排序
    数组过滤
    阵列换位
    阵列堆叠
    阵列广播规则
    矩阵乘法
    特征值和特征向量
    奇异值分解
    矢量化
    元素操作
    点产品
    跨产品
    转置
    matplotlib集成
    随机数生成
    阵列访问和更新
    阵列比较
    阵列掩蔽
    向量规范
    矩阵决定因素
    Kronecker产品
    文件阅读
    文件编写
    广播规则
    数组元素WISE操作
    阵列还原
    阵列广播
    阵列广播规则
    性能分析
    内存管理
    并行处理
    缓存
    数组验证
    数组迭代
    阵列瓷砖
    阵列锥度
    阵列随身携带
    阵列同步
    数组内存分配
    测试案例生成

What roles can I use the Numpy Online Test for?

  • Python开发人员
  • Numpy开发人员
  • 数据分析师
  • 数据科学家
  • 机器学习工程师

How is the Numpy Online 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

  • 错误处理numpy
  • 使用多维阵列
  • 了解广播规则
  • 实施线性代数操作
  • 用numpy处理大数据
  • 优化Numpy代码以提高效率
  • 使用numpy进行科学计算
  • numpy中的内存管理
  • numpy中的并行处理
  • 高级阵列操纵技术
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

Numpy 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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