- What inputs do you need for BUILDING a data model? …
- What are various differences between CONCEPTUAL data model and LOGICAL data model? …
- What are the activities carried out in a Physical Data Modeling?
Feeling jittery before your Data Modeler interview? Check out these most commonly asked data modelling interview questions with the best possible responses. Last Updated: 15 Sep 2022
Be it among the 296K data analysts jobs or 153K data engineer jobs in the US, data modeling seems to be an essential skill for every IT candidate to possess, but it can be difficult to master. So, if you are preparing for a big data job interview for roles like data modelers, business analysts, etc., then this blog is the best resource! We have compiled the top 50 data modelling interview questions and answers from beginner to advanced levels. These data modelling interview questions will benefit data modelers, data engineers, business analysts, and anyone willing to pursue a career in big data or data science.
Erwin Data Modeling Interview Questions – Part 1
What is a Data Model?
A data model organizes different data elements and standardizes how they relate to one another and real-world entity properties. So logically then, data modeling is the process of creating those data models.
Data models are composed of entities, and entities are the objects and concepts whose data we want to track. They, in turn, become tables found in a database. Customers, products, manufacturers, and sellers are potential entities.
Each entity has attributesâdetails that the users want to track. For instance, a customerâs name is an attribute.
With that out of the way, letâs check out those data modeling interview questions!
Basic Data Modeling Interview Questions
The three types of data models:
Explain various types of data models
There are mainly three different types of data models:
Conceptual: Conceptual data model defines what should the system contain. This model is typically created by business stakeholders and data architects. The purpose is to organize, scope, and define business concepts and rules.
Logical: Defines how the system should be implemented regardless of the DBMS. This model is typically created by data architects and business analysts. The purpose is to develop a technical map of rules and data structures.
Physical: This data model describes how the system will be implemented using a specific DBMS system. This model is typically created by DBA and developers. The purpose is the actual implementation of the database.
One-to-one (1:
Here, one occurrence in an entity can relate to one occurrence or zero occurrences in another entity.
For example: A “tag” table with a “tag number” attribute might have a 1:1 relationship to a “vehicle” table with a unique vehicle identification number (VIN) as its primary key. That is, a given vehicle may or may not have a tag, but it can’t have more than one.
Further to this example, there might be motor vehicle tags that are in inventory, but that have not been assigned a vehicle yet.
FAQ
How do you use Erwin tool?
What are the three types of data models?
What type of questions are asked in Modelling?
- Tell us an interesting thing about yourself.
- How was the experience of your first shoot?
- Who do you consider to be the world’s most successful model?
- Is there a brand or designer you aspire to model for?
- Do you model freelance or full-time?
