Data Governance Consultant Interview Questions and Answers

The number of dinner sets consumed in a restaurant on a busy street during a weekend depends on various factors such as seating capacity, average dining time, and popularity of the restaurant.

• Consider the seating capacity of the restaurant

• Factor in the average dining time per table

• Take into account the popularity of the restaurant and any reservations made

• Analyze the foot traffic on the busy street and potential walk-in customers

• Look at historical data or trends for similar w...read more

Transitioning from one data model to another in an MNC involves careful planning and execution.

• Assess the current data model and identify its strengths and weaknesses

• Define the requirements of the new data model and ensure alignment with business goals

• Develop a migration plan that includes data mapping, transformation, and validation

• Implement the new data model in phases to minimize disruption to operations

• Train employees on the new data model and provide support during the t...read more

Slowly changing dimensions are handled by using different types like Type 1, Type 2, or Type 3 depending on the requirements.

• Use Type 1 for overwriting existing data with new values

• Use Type 2 for creating new records for changes and maintaining history

• Use Type 3 for creating separate columns for different versions of data

• Implement effective date ranges to track changes over time

I have over 5 years of experience in implementing data governance frameworks, policies, and procedures.

• Implemented data governance policies and procedures to ensure data quality and compliance

• Developed data governance frameworks to establish roles, responsibilities, and processes

• Conducted data quality assessments and implemented data quality improvement initiatives

• Collaborated with cross-functional teams to align data governance practices with business objectives

Star schema is a data warehouse schema where a central fact table is connected to multiple dimension tables. Snowflake schema is a normalized form of star schema where dimension tables are further normalized into sub-dimension tables.

• Star schema has a central fact table connected to multiple dimension tables

• Snowflake schema is a normalized form of star schema with dimension tables further normalized into sub-dimension tables

• Star schema is denormalized for faster query perform...read more

Data remediation is the process of identifying, correcting, and preventing data quality issues within an organization's data assets.

• Data remediation involves identifying incorrect, incomplete, or inconsistent data and taking steps to correct it.

• It may include data cleansing, data enrichment, data standardization, and data deduplication.

• Examples of data remediation tasks include removing duplicate records, updating outdated information, and ensuring data accuracy and consisten...read more

BCBS stands for Blue Cross Blue Shield.

• Blue Cross Blue Shield is a federation of independent health insurance companies.

• It provides health insurance to over 100 million Americans.

• BCBS companies are known for their wide network of healthcare providers.

Python efficiency can be improved by optimizing code, using built-in functions, and avoiding unnecessary loops.

• Use built-in functions like map, filter, and list comprehensions instead of loops for better performance.

• Avoid unnecessary loops by optimizing code and reducing redundant operations.

• Consider using libraries like NumPy for efficient handling of large datasets.

• Profile your code using tools like cProfile to identify bottlenecks and optimize performance.