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About the test:

The Data Modeling Skills Test evaluates a candidate's knowledge and abilities in database design, SQL, ER diagrams, normalization, relational schema, data integrity, data mapping, data warehousing, data manipulation, data validation, and data transformation.

Covered skills:

  • Data modeling
  • SQL
  • Normalization
  • Data integrity
  • Data validation
  • Database design
  • ER diagrams
  • Relational schema
  • Data mapping
  • Data transformation

9 reasons why
9 reasons why

Adaface Data Modeling Skills Assessment Test is the most accurate way to shortlist Data Analysts



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:

  • Ability to create effective data models to represent complex business requirements
  • Proficiency in SQL queries for data manipulation and retrieval
  • Understanding of ER diagrams to visualize and design database structures
  • Knowledge of normalization techniques to optimize database performance and reduce redundancy
  • Ability to design relational schemas for efficient data storage and retrieval
  • Understanding of data integrity constraints to maintain data accuracy and consistency
  • Proficiency in data mapping techniques to establish relationships between data elements
  • Knowledge of data validation techniques to ensure data integrity and quality
  • Ability to perform data transformation operations for data integration and reporting
  • Understanding of data modeling principles and methodologies for effective data representation
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

These are just a small sample from our library of 10,000+ questions. The actual questions on this Data Modeling Skills Test will be non-googleable.

🧐 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

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!


Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Modeling Skills Test 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 Data Modeling Skills Test 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

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 Data Modeling Skills Online Test

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

The Data Modeling Skills Test 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:

  • Understanding of data modeling concepts and techniques
  • Proficiency in SQL and database design
  • Ability to create ER diagrams and relational schemas
  • Experience in normalization and ensuring data integrity
  • Knowledge of data mapping and transformations
  • Expertise in data validation techniques
  • Familiarity with data modeling for different types of databases
  • Understanding of query optimization and performance tuning
  • Ability to interpret and optimize existing database structures
  • Experience in designing databases for scalable applications

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?

  • Data Modeling:

    Data modeling is the process of designing and organizing data to support efficient storage and retrieval. It involves identifying the entities, relationships, and attributes in a system and creating a conceptual, logical, and physical model. Measuring data modeling skills in this test helps assess a candidate's ability to understand and structure complex data.

  • Database Design:

    Database design is the process of creating a blueprint for organizing and structuring data in a database system. It involves defining tables, relationships, constraints, and indexes to ensure efficient data storage and retrieval. Measuring database design skills in this test helps evaluate a candidate's ability to design databases that are scalable, optimized, and maintainable.

  • SQL:

    SQL (Structured Query Language) is a programming language used to manage and manipulate relational databases. It allows users to create, modify, and retrieve data from database tables. Measuring SQL skills in this test helps assess a candidate's proficiency in writing efficient and accurate SQL queries for data retrieval and manipulation.

  • ER Diagrams:

    An Entity-Relationship (ER) diagram is a visual representation of entities, attributes, and relationships in a database system. It helps illustrate the structure and organization of data. Measuring ER diagram skills in this test helps evaluate a candidate's ability to design clear and accurate ER diagrams, which are essential for database understanding and communication.

  • Normalization:

    Normalization is a process of minimizing redundancy and dependency in database tables to improve data integrity and reduce data anomalies. It involves dividing a database into logical, well-structured tables and establishing relationships between them. Measuring normalization skills in this test helps gauge a candidate's understanding of data normalization concepts and their ability to design efficient and normalized database schemas.

  • Relational Schema:

    A relational schema is a blueprint that defines the structure and organization of a relational database. It includes the names of tables, columns, constraints, and relationships. Measuring relational schema skills in this test helps assess a candidate's ability to design logical and coherent database schemas, which are crucial for data organization and retrieval.

  • Data Integrity:

    Data integrity refers to the accuracy, consistency, and reliability of data stored in a database. It is maintained through the use of constraints, validations, and business rules. Measuring data integrity skills in this test helps evaluate a candidate's understanding of maintaining data quality and preventing data corruption or loss.

  • Data Mapping:

    Data mapping involves defining the relationships and transformations between different data formats, structures, or systems. It is often used during data integration or migration projects. Measuring data mapping skills in this test helps assess a candidate's ability to map and transform data accurately and efficiently, ensuring seamless data flow and integration.

  • Data Validation:

    Data validation is the process of ensuring that data meets specific criteria or standards for accuracy, consistency, and usability. It includes checking data against predefined rules, constraints, or patterns. Measuring data validation skills in this test helps gauge a candidate's ability to design and implement robust data validation mechanisms, ensuring data quality and reliability.

  • Data Transformation:

    Data transformation involves converting data from one format, structure, or representation to another. It may include data cleansing, formatting, and restructuring. Measuring data transformation skills in this test helps evaluate a candidate's proficiency in transforming and manipulating data, which is often required for data integration, migration, or analysis tasks.

  • 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 Data Modeling Skills Test to be based on.

    Entity-Relationship
    Primary Key
    Foreign Key
    Normalization Forms
    Relational Schema
    Database Design
    Data Integrity
    Data Mapping
    Data Validation
    Data Transformation
    ER Diagrams
    Logical Data Model
    Physical Data Model
    Conceptual Data Model
    Normalization Techniques
    Denormalization
    Functional Dependencies
    Data Redundancy
    Candidate Keys
    Data Abstraction
    Referential Integrity
    Data Consistency
    Data Integration
    Data Aggregation
    Data Warehouse
    Data Mart
    Fact Table
    Dimension Table
    Data Mining
    Star Schema
    Snowflake Schema
    Relational Algebra
    Structured Query Language
    Data Manipulation Language
    Data Definition Language
    SELECT Statement
    JOINs
    Subqueries
    Aggregate Functions
    Indexing
    Transactions
    Data Types
    Views
    Stored Procedures
    Triggers
    Common Table Expressions
    Data Modelling Techniques
    Data Modelling Tools
    Data Modelling Best Practices
    Reverse Engineering
    Forward Engineering
    Data Quality
    Data Governance
    Data Privacy
    Data Security

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

  • Data Analyst
  • Database Administrator
  • Data Engineer
  • Business Analyst
  • Data Scientist
  • Software Engineer
  • Full Stack Developer
  • ETL Developer
  • Data Architect
  • BI Developer

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

  • Proficiency in handling complex SQL queries
  • Skill in designing databases for multi-tenant architectures
  • Understanding of database design best practices
  • Expertise in creating stored procedures and triggers
  • Knowledge of indexing strategies and query execution plans
  • Experience in data modeling for cloud-based databases
  • Familiarity with data warehousing and ETL processes
  • Proficiency in developing data models for reporting purposes
  • Ability to analyze and optimize data storage requirements
  • Understanding of data governance and data lifecycle management
Singapore government logo

The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.


85%
reduction in screening time

Data Modeling Skills Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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