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About the test:

数据建模技能测试评估了候选人在数据库设计,SQL,ER图,标准化,关系模式,数据完整性,数据映射,数据仓库,数据操作,数据验证,数据验证和数据转换中的知识和能力。

Covered skills:

  • 数据建模
  • SQL
  • 正常化
  • 数据的完整性
  • 数据验证
  • 数据库设计
  • ER图
  • 关系模式
  • 数据映射
  • 数据转换

9 reasons why
9 reasons why

Adaface Data Modeling Skills 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 Modeling Skills 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:

  • 能够创建有效的数据模型来表示复杂的业务需求
  • 熟练SQL查询进行数据操作和检索
  • 了解可视化和设计数据库结构的ER图
  • 了解标准化技术以优化数据库性能并降低冗余
  • 能够设计有效数据存储和检索的关系模式
  • 了解数据完整性限制以维持数据的准确性和一致性
  • 熟练数据映射技术以建立数据元素之间的关系
  • 了解数据验证技术以确保数据完整性和质量
  • 能够执行数据转换操作以进行数据集成和报告
  • 了解有效数据表示的数据建模原理和方法论
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 数据建模技能测试 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

Multi Select
JOIN
GROUP BY
Solve
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
Solve
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
Solve
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
Solve
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
Solve
Consider the following SQL table:
 image
How many tuples does the following query return?
 image
🧐 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

Multi Select
JOIN
GROUP BY

2 mins

SQL
Solve

Medium

nth highest sales
Nested queries
User Defined Functions

3 mins

SQL
Solve

Medium

Select & IN
Nested queries

3 mins

SQL
Solve

Medium

Sorting Ubers
Nested queries
Join
Comparison operators

3 mins

SQL
Solve

Hard

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

2 mins

SQL
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
Multi Select
JOIN
GROUP BY
SQL
Medium2 mins
Solve
nth highest sales
Nested queries
User Defined Functions
SQL
Medium3 mins
Solve
Select & IN
Nested queries
SQL
Medium3 mins
Solve
Sorting Ubers
Nested queries
Join
Comparison operators
SQL
Medium3 mins
Solve
With, AVG & SUM
MAX() MIN()
Aggregate functions
SQL
Hard2 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 数据建模技能测试 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 数据建模技能测试 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 Modeling Skills Online Test

Why you should use Pre-employment Data Modeling Skills Test?

The 数据建模技能测试 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:

  • 了解数据建模概念和技术
  • 精通SQL和数据库设计
  • 创建ER图和关系模式的能力
  • 有规范化并确保数据完整性
  • 数据映射和转换的知识
  • 数据验证技术的专业知识
  • 熟悉不同类型数据库的数据建模
  • 了解查询优化和性能调整
  • 解释和优化现有数据库结构的能力
  • 设计可扩展应用程序的数据库的经验

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 Modeling Skills Test?

  • 数据库设计:

    数据库设计是创建用于组织和结构数据的蓝图的过程在数据库系统中。它涉及定义表,关系,约束和索引,以确保有效的数据存储和检索。测量该测试中的数据库设计技能有助于评估候选人设计可扩展,优化和可维护的数据库的能力。

  • sql:

    sql(结构化查询语言)是一种编程语言用于管理和操纵关系数据库。它允许用户从数据库表创建,修改和检索数据。测量此测试中的SQL技能有助于评估候选人在编写效率高效,准确的SQL查询中的熟练程度。数据库系统中实体,属性和关系的视觉表示。它有助于说明数据的结构和组织。测量此测试中的ER图技能有助于评估候选人设计清晰准确的ER图的能力,这对于数据库理解和通信至关重要。

  • 归一化:

    归一化是一个归一化的过程最小化数据库表中的冗余和依赖性,以提高数据完整性并减少数据异常。它涉及将数据库分为逻辑,结构良好的表格,并在它们之间建立关系。测量该测试中的归一化技能有助于衡量候选人对数据归一化概念的理解及其设计高效和标准化数据库模式的能力。

  • 关系模式:

    一个关系模式是一种蓝图,是一个蓝图定义关系数据库的结构和组织。它包括表,列,约束和关系的名称。在此测试中测量关系架构技能有助于评估候选人设计逻辑和相干数据库模式的能力,这对于数据组织和检索至关重要。

  • 数据完整性:

    数据完整性是指数据库中存储的数据的准确性,一致性和可靠性。它是通过使用约束,验证和业务规则来维护的。测量该测试中的数据完整性技能有助于评估候选人对维持数据质量和防止数据损坏或丢失的理解。

  • 数据映射:

    数据映射涉及定义不同的关系和转换数据格式,结构或系统。它通常在数据集成或迁移项目中使用。测量该测试中的数据映射技能有助于评估候选人准确有效地映射和转换数据的能力,从而确保无缝的数据流和集成。

  • 数据验证:

    数据验证是该过程确保数据符合特定标准或标准的准确性,一致性和可用性。它包括根据预定义的规则,约束或模式检查数据。测量该测试中的数据验证技能有助于衡量候选人设计和实施强大的数据验证机制,确保数据质量和可靠性的能力。

  • 数据转换:

    数据转换涉及从中转换数据一种格式,结构或表示形式。它可能包括数据清洁,格式化和重组。在此测试中测量数据转换技能有助于评估候选人在转换和操纵数据方面的熟练程度,这通常是数据集成,迁移或分析任务所必需的。

  • 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 数据建模技能测试 to be based on.

    实体关系
    首要的关键
    外键
    归一化形式
    关系模式
    数据库设计
    数据的完整性
    数据映射
    数据验证
    数据转换
    ER图
    逻辑数据模型
    物理数据模型
    概念数据模型
    归一化技术
    否定化
    功能依赖性
    数据冗余
    候选钥匙
    数据抽象
    参照完整性
    数据一致性
    数据集成
    数据聚合
    数据仓库
    数据库
    事实表
    尺寸表
    数据挖掘
    星模架
    雪花图架
    关系代数
    结构化查询语言
    数据操纵语言
    数据定义语言
    选择语句
    加入
    子征服
    聚合功能
    索引
    交易
    数据类型
    视图
    存储程序
    触发器
    通用表表达式
    数据建模技术
    数据建模工具
    数据建模最佳实践
    逆向工程
    向前工程
    数据质量
    数据治理
    数据隐私
    数据安全

What roles can I use the Data Modeling Skills Test for?

  • 数据分析师
  • 数据库管理员
  • 数据工程师
  • 业务分析师
  • 数据科学家
  • 软件工程师
  • 完整的堆栈开发人员
  • ETL开发人员
  • 数据架构师
  • BI开发人员

How is the Data Modeling Skills 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

  • 熟练处理复杂的SQL查询
  • 设计多租户架构的数据库的技巧
  • 了解数据库设计最佳实践
  • 创建存储过程和触发器方面的专业知识
  • 了解索引策略和查询执行计划
  • 具有基于云的数据库的数据建模的经验
  • 熟悉数据仓库和ETL过程
  • 熟练开发用于报告目的的数据模型
  • 能够分析和优化数据存储要求
  • 了解数据治理和数据生命周期管理
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 Modeling Skills 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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