Data Modeling Skills 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
Database design
SQL
ER diagrams
Normalization
Relational schema
Data integrity
Data mapping
Data validation
Data transformation

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About the Data Modeling Skills Assessment Test

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

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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 15,000+ 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: 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?
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
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 Sql Join Data Analysis	Solve
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Solve
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
Medium Select & IN Nested queries	Solve
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
Medium Sorting Ubers Nested queries Join Comparison operators	Solve
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
Hard With, AVG & SUM MAX() MIN() Aggregate functions	Solve
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill
	Easy Healthcare System Data Integrity Normalization Referential Integrity	2 mins Data Modeling	Solve
You are designing a data model for a healthcare system with the following requirements: 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	2 mins Data Modeling	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?
	Medium Normalization Process Normalization Database Design Anomaly Elimination	3 mins Data Modeling	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	2 mins Data Modeling	Solve
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 Sql Join Data Analysis	2 mins SQL	Solve
Consider the following SQL table: How many rows does the following SQL query return?
	Medium nth highest sales Nested queries User Defined Functions	3 mins SQL	Solve
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Medium Select & IN Nested queries	3 mins SQL	Solve
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Medium Sorting Ubers Nested queries Join Comparison operators	3 mins SQL	Solve
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	Hard With, AVG & SUM MAX() MIN() Aggregate functions	2 mins SQL	Solve
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Healthcare System Data Integrity Normalization Referential Integrity	Data Modeling	Easy	2 mins	Solve
You are designing a data model for a healthcare system with the following requirements: 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.
	ER Diagram and minimum tables ER Diagram	Data Modeling	Hard	2 mins	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?
	Normalization Process Normalization Database Design Anomaly Elimination	Data Modeling	Medium	3 mins	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.
	University Courses ER Diagrams Complex Relationships Integrity Constraints	Data Modeling	Medium	2 mins	Solve
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.
	Multi Select JOIN GROUP BY Sql Join Data Analysis	SQL	Medium	2 mins	Solve
Consider the following SQL table: How many rows does the following SQL query return?
	nth highest sales Nested queries User Defined Functions	SQL	Medium	3 mins	Solve
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Select & IN Nested queries	SQL	Medium	3 mins	Solve
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Sorting Ubers Nested queries Join Comparison operators	SQL	Medium	3 mins	Solve
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	With, AVG & SUM MAX() MIN() Aggregate functions	SQL	Hard	2 mins	Solve
Consider the following SQL table: How many tuples does the following query return?

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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

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Have questions about the Data Modeling Skills Hiring Test?

What is Data Modeling Skills Test?

The Data Modeling Skills Test evaluates candidates' ability to design and implement data models and databases. It is used by recruiters to assess proficiency in data modeling, SQL, and database design.

Can I combine the Data Modeling Skills Test with SQL questions?

Yes, recruiters can request a custom test with multiple skills. For more details on how we assess SQL, please check our SQL Online Test.

What kind of questions are used to evaluate senior candidates in the Data Modeling Skills Test?

Senior candidates are evaluated on their ability to handle complex SQL queries, design databases for multi-tenant architectures, create stored procedures and triggers, and understand indexing strategies and query execution plans.

How to use Data Modeling Skills Test in my hiring process?

Use the test as a pre-screening tool early in the recruitment process. Add a link to the test in your job post or invite candidates by email. This helps identify skilled candidates more reliably and faster.

What are the main Database Design tests?

Apart from the Data Modeling Skills Test, we offer other tests in the Database Design category:

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.

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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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