Preview Questions Data Modeling Concepts | Role Specific Skill

Question 1: You need to design a dimensional model for a sales data warehouse. What is your approach?

Which action should you take?

Choose only one option

Use a star schema

Use a snowflake schema

Use a hybrid schema

Use a normalized schema

Question 2: How do you decide the appropriate level of abstraction in a dimensional model?

Which action should you take?

Choose only one option

Collaborate with business users to understand their reporting needs and expectations

Simplify the model by excluding less critical dimensions

Opt for maximum detail in all dimensions

Use personal judgment to decide the level of abstraction

Question 3: Your ER model must accommodate historical data tracking. What is your solution?

Which action should you take?

Choose only one option

Create timestamp attributes in entities

Use a history table to store changes

Implement versioning in the database

Add a new entity to track history

Question 4: Your database includes multi-valued attributes. How do you handle this?

Which action should you take?

Choose only one option

Apply Fourth Normal Form (4NF)

Apply Third Normal Form (3NF)

Apply Second Normal Form (2NF)

Apply Boyce-Codd Normal Form (BCNF)

Question 5: How do you ensure data security in your data warehouse?

Which action should you take?

Choose only one option

Implement encryption

Use access control mechanisms

Regularly audit security policies

Apply data masking techniques

Question 6: How do you identify departments that have more employees than the average number of employees per department?

Which action should you take?

Choose only one option

Use a nested query with HAVING

Use a window function with COUNT()

Use a JOIN with aggregate functions

Use a CTE with aggregate functions