Preview Questions Data Modeling Concepts | Role Specific Skill

Question 1: What approach would you take to handle historical data in a dimensional model?

Which action should you take?

Choose only one option

Use slowly changing dimensions to track changes over time

Purge historical data periodically to optimize database performance

Denormalize all historical data into a single table structure

Archive historical data offline to save database space

Question 2: You are tasked with reducing the size of your database without losing data integrity. What normalization form do you use?

Which action should you take?

Choose only one option

Apply normalization up to Third Normal Form (3NF)

Apply normalization up to Second Normal Form (2NF)

Apply normalization up to Fourth Normal Form (4NF)

Use Boyce-Codd Normal Form (BCNF)

Question 3: Your data warehouse must comply with regulatory requirements. What is your approach?

Which action should you take?

Choose only one option

Implement data governance policies

Use compliance management tools

Regularly audit and review compliance

Implement data retention policies

Question 4: You need to ensure referential integrity in your ER model. What is your approach?

Which action should you take?

Choose only one option

Use foreign keys to enforce relationships

Define unique constraints on primary keys

Regularly audit the database

Implement triggers to maintain integrity

Question 5: You need to ensure that your database design supports future scalability. What normalization approach do you use?

Which action should you take?

Choose only one option

Apply normalization up to Third Normal Form (3NF)

Apply normalization up to Second Normal Form (2NF)

Apply normalization up to Fourth Normal Form (4NF)

Use Boyce-Codd Normal Form (BCNF)

Question 6: How would you design a dimensional model to handle semi-structured data types?

Which action should you take?

Choose only one option

Use hybrid schema designs incorporating both structured and semi-structured data

Exclude semi-structured data types from the model

Opt for a flat file structure to ensure compatibility

Implement separate data warehouses for structured and semi-structured data types