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About the test:

数据争论测试评估了候选人在清洁,转换和将原始数据组织成适合分析的结构化格式中的技能。它测试了他们对数据建模,解释,分析和进入过程的理解。

Covered skills:

  • 数据提取
  • 数据集成
  • 数据验证
  • 数据解释
  • 数据解析
  • 质量评估
  • 数据建模
  • 数据分析

9 reasons why
9 reasons why

Adaface Data Wrangling Assessment Test is the most accurate way to shortlist 数据分析师s



Reason #1

Tests for on-the-job skills

The Data Wrangling 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:

  • 能够从各种来源提取数据
  • 能够解析和清洁数据
  • 能够集成和组合来自多个来源的数据
  • 评估数据质量的能力
  • 能够验证数据并确定任何不一致之处
  • 创建数据模型的能力
  • 解释数据并得出有意义的结论的能力
  • 能够使用统计方法和工具分析数据
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 数据争吵测试 将是不可行的.

🧐 Question

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity
Solve
You are designing a data model for a healthcare system with the following requirements:
 image
A: A separate table for each entity with foreign keys as specified, and a DoctorPatient table linking Doctors to Patients.
B: A separate table for each entity with foreign keys as specified, without additional tables.
C: A combined PatientDoctor table replacing Patient and Doctor, and separate tables for Appointment and Prescription.
D: A separate table for each entity with foreign keys, and a PatientPrescription table to track prescriptions directly linked to patients.
E: A single table combining Patient, Doctor, Appointment, and Prescription into one.
F: A separate table for each entity with foreign keys as specified, and an AppointmentDetails table linking Appointments to Prescriptions.

Hard

ER Diagram and minimum tables
ER Diagram
Solve
Look at the given ER diagram. What do you think is the least number of tables we would need to represent M, N, P, R1 and R2?
 image
 image
 image

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination
Solve
Consider a healthcare database with a table named PatientRecords that stores patient visit information. The table has the following attributes:

- VisitID
- PatientID
- PatientName
- DoctorID
- DoctorName
- VisitDate
- Diagnosis
- Treatment
- TreatmentCost

In this table:

- Each VisitID uniquely identifies a patient's visit and is associated with one PatientID.
- PatientID is associated with exactly one PatientName.
- Each DoctorID is associated with a unique DoctorName.
- TreatmentCost is a fixed cost based on the Treatment.

Evaluating the PatientRecords table, which of the following statements most accurately describes its normalization state and the required actions for higher normalization?
A: The table is in 1NF. To achieve 2NF, remove partial dependencies by separating Patient information (PatientID, PatientName) and Doctor information (DoctorID, DoctorName) into different tables.
B: The table is in 2NF. To achieve 3NF, remove transitive dependencies by creating separate tables for Patients (PatientID, PatientName), Doctors (DoctorID, DoctorName), and Visits (VisitID, PatientID, DoctorID, VisitDate, Diagnosis, Treatment, TreatmentCost).
C: The table is in 3NF. To achieve BCNF, adjust for functional dependencies such as moving DoctorName to a separate Doctors table.
D: The table is in 1NF. To achieve 3NF, create separate tables for Patients, Doctors, and Visits, and remove TreatmentCost as it is a derived attribute.
E: The table is in 2NF. To achieve 4NF, address any multi-valued dependencies by separating Visit details and Treatment details.
F: The table is in 3NF. To achieve 4NF, remove multi-valued dependencies related to VisitID.

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Solve
 image
Based on the ER diagram, which of the following statements is accurate and requires specific knowledge of the ER diagram's details?
A: A Student can major in multiple Departments.
B: An Instructor can belong to multiple Departments.
C: A Course can be offered by multiple Departments.
D: Enrollment records can link a Student to multiple Courses in a single semester.
E: Each Course must be associated with an Enrollment record.
F: A Department can offer courses without having any instructors.

Medium

Dividends
Financial Analysis
Percentage and Average Calculations
Solve
Consider the following line chart which shows the money invested by a company in production each year and the sales made by the company each year. If the pie chart shows the shareholding pattern of the company and the company gives 10% of the profit as dividends to its share holders then what is the average dividend received by retail investors from 2000 to 2004?
 image
 image

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning
Solve
Given below is the list of laptop brands and their details in which some data is missing. If the cost price of Dell is 3/5 of the cost price of Lenovo, then what will be the %profit of Dell?
 image

Hard

Median
Trend Analysis
Statistical Reasoning
Solve
 Consider the following line chart which shows the sales of five different companies from 2000 to 2009. Which of the following companies has the maximum percentage increase in the median from 2000 to 2004 and 2005 to 2009.
 image

Medium

Hiring Developer
Skewed Data
Graph
Solve
Two companies A and B hired developers from the year 2001 to 2005. The given bar graph shows the hiring details. 
 image
 image
Now select the statements that are true based on the given details.

A: The data given for Company A is skewed to the left.
B: The data given for Company B is skewed to the right.
C: The data given for Company A is skewed to the right.
D: For Company B, mean and mode are equal.
E: For Company B, mean is equal to median but less than mode.
F: For Company A, median is less than mode but greater than mean.

Medium

Negative correlation
Solve
Saffi, one of the popular schools in San Francisco did a school wide study of the students in middle school. The study found that there is a negative correlation between the time spent on Facebook per day by students and their academic achievement. How can we understand the results of this study?
A: An increase in time spent on Facebook per day causes a drop in the academic achievement of students at the middle school level.

B: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at Saffi. 

C: An increase in the time spent on Facebook per day causes a drop in the academic achievement of students at Saffi. 

D: There is an association between an increase in time spent on Facebook per day and the drop in the academic achievement of students at the middle school level.
🧐 Question🔧 Skill

Easy

Healthcare System
Data Integrity
Normalization
Referential Integrity

2 mins

Data Modeling
Solve

Hard

ER Diagram and minimum tables
ER Diagram

2 mins

Data Modeling
Solve

Medium

Normalization Process
Normalization
Database Design
Anomaly Elimination

3 mins

Data Modeling
Solve

Medium

University Courses
ER Diagrams
Complex Relationships
Integrity Constraints

2 mins

Data Modeling
Solve

Medium

Dividends
Financial Analysis
Percentage and Average Calculations

3 mins

Data Interpretation
Solve

Medium

Laptop Brands
Proportions and Percentages
Financial Reasoning

2 mins

Data Interpretation
Solve

Hard

Median
Trend Analysis
Statistical Reasoning

3 mins

Data Interpretation
Solve

Medium

Hiring Developer
Skewed Data
Graph

3 mins

Data Analysis
Solve

Medium

Negative correlation

2 mins

Data Analysis
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Healthcare System
Data Integrity
Normalization
Referential Integrity
Data Modeling
Easy2 mins
Solve
ER Diagram and minimum tables
ER Diagram
Data Modeling
Hard2 mins
Solve
Normalization Process
Normalization
Database Design
Anomaly Elimination
Data Modeling
Medium3 mins
Solve
University Courses
ER Diagrams
Complex Relationships
Integrity Constraints
Data Modeling
Medium2 mins
Solve
Dividends
Financial Analysis
Percentage and Average Calculations
Data Interpretation
Medium3 mins
Solve
Laptop Brands
Proportions and Percentages
Financial Reasoning
Data Interpretation
Medium2 mins
Solve
Median
Trend Analysis
Statistical Reasoning
Data Interpretation
Hard3 mins
Solve
Hiring Developer
Skewed Data
Graph
Data Analysis
Medium3 mins
Solve
Negative correlation
Data Analysis
Medium2 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 数据争吵测试 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 数据争吵测试 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
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 Data Wrangling Online Test

Why you should use Pre-employment Data Wrangling Test?

The 数据争吵测试 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:

  • 使用各种方法提取数据
  • 以精确和准确性来解析数据
  • 无缝数据流的数据集成
  • 质量评估以确保数据完整性
  • 数据验证以识别和纠正错误
  • 有效表示的数据建模
  • 数据解释以获取见解
  • 使用统计技术的数据分析
  • 处理数据操纵的异常和错误
  • 有效管理大型数据集

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 Data Wrangling Test?

  • 数据提取

    数据提取是从数据库,文件,网站或API等各种来源检索相关数据的过程。在测试中测量了该技能,以评估候选人有效收集所需数据进行分析和决策的能力。

  • 数据解析

    数据解析涉及将复杂的数据结构分解为较小的数据,有意义的组件。评估候选人提取特定信息并操纵数据以进一步处理的能力的能力是至关重要的。

  • 数据集成

    数据集成是指将来自不同来源的数据组合到一个统一且一致的格式进行分析。测试此技能有助于确定候选人在合并数据集并为它们做准备以进行准确数据分析和报告的熟练程度。

  • 质量评估

    质量评估涉及评估数据的可靠性,准确性和完整性。在测试中测量了该技能,以评估候选人在收集的数据集中识别和纠正任何不一致,错误或重复的能力。

  • 数据验证

    数据验证需要验证完整性通过基于定义的规则或约束进行验证检查,数据的准确性和准确性。衡量此技能有助于评估候选人在识别和解决数据质量问题方面的熟练程度,以确保数据一致性和可靠性。

  • 数据建模

    数据建模涉及设计和构建数据的概念表示支持有效的数据管理和分析。在测试中测量了该技能,以评估候选人创建结构化数据模型的能力,以实现有效的数据组织,存储和检索。

  • 数据解释

    数据解释是指理解。并分析数据以获得有意义的见解并做出明智的决定。测试此技能有助于评估候选人解释数据可视化,统计分析和其他技术以提取有价值信息的能力。

  • 数据分析

    数据分析涉及应用统计和分析方法来研究研究,转换和评估数据以得出结论并做出数据驱动的决策。测试这项技能有助于评估候选人在使用各种技术和工具中识别数据中的模式,趋势,相关和离群值的能力。

  • 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 数据争吵测试 to be based on.

    数据提取
    网络刮擦
    API集成
    正则
    数据清洁
    数据转换
    数据合并
    数据删除
    数据分析
    数据验证
    数据审核
    实体关系建模
    尺寸建模
    数据解释
    数据可视化
    描述性统计
    假设检验
    回归分析
    时间序列分析
    相关分析
    数据采样
    数据探索
    数据聚合
    数据过滤
    数据转换
    数据可视化技术
    数据分类
    数据聚类
    数据摘要
    地理空间分析

What roles can I use the Data Wrangling Test for?

  • 数据分析师
  • 数据科学家
  • 数据工程师
  • 数据架构师
  • 业务分析师
  • 数据库管理员
  • 数据质量分析师
  • 数据可视化专家
  • 机器学习工程师
  • 定量分析师

How is the Data Wrangling 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

  • 识别数据的模式和趋势
  • 将数据争吵技术应用于数据清洁
  • 优化数据存储和检索
  • 实施数据转换操作
  • 创建自动化数据管道
  • 进行预测建模的功能工程
  • 实施高级数据可视化
  • 进行数据验证的假设检验
  • 应用机器学习算法进行预测分析
  • 为业务决策设计数据驱动的策略
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

Data Wrangling 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.
Accurate shortlisting.
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