Data Governance test - Big Data Engineer questions

Question 1

What is the difference between data governance and data quality?

Data governance is concerned with security and access to data, while data quality is the responsibility of individual users. Data governance is a passive process, while data quality is an active process that involves data cleaning and validation. Data governance is a business function, while data quality is a technical function that involves IT staff. Data governance refers to the creation of data policies and standards, while data quality involves the actual measurement and monitoring of data. Data governance focuses on the management of data throughout its lifecycle, while data quality deals with the accuracy and completeness of data. Data governance is more concerned with the technical aspects of data management, while data quality focuses on user behavior.

Correct Answer: Data governance focuses on the management of data throughout its lifecycle, while data quality deals with the accuracy and completeness of data.

Data governance provides a framework for the management of data, while data quality focuses on ensuring that data is accurate, complete, and consistent. While both areas are important, they have different roles within an organization and require different approaches to be effective.

Question 2

What is data stewardship?

It is the process of managing data privacy and security. It is the process of managing and guiding data governance practices. It is the process of managing data assets to ensure data quality, accuracy, and security over their lifecycle, with the aim of implementing and monitoring policies and guidelines for managing data. It is the process of managing data assets to ensure their availability to the users. It is the process of managing the storage and retrieval of data. It is the process of managing data analytics and insights.

Correct Answer: It is the process of managing data assets to ensure data quality, accuracy, and security over their lifecycle, with the aim of implementing and monitoring policies and guidelines for managing data.

Data stewardship is focused on the management of data assets throughout their lifecycle, from creation to archival or deletion. It includes the development and enforcement of policies and guidelines to ensure the quality, accuracy, and security of the data. Data stewards are responsible for ensuring that data is used in compliance with regulatory obligations, and that data management best practices are followed.

Question 3

What is the purpose of a data inventory?

A data inventory is used to create data governance policies and procedures. A data inventory is a list of data quality issues within an organization. A data inventory is a list of external data sources that an organization uses. A data inventory is a tool for data visualization and analysis. A data inventory is a list of business processes within an organization. A data inventory is a list of all data assets within an organization and their locations.

Correct Answer: A data inventory is a list of all data assets within an organization and their locations.

A data inventory is a list of all data assets within an organization and their locations. It provides a comprehensive view of an organization's data assets including data elements, data sources, data owners, data classifications, and data lineage. It is important for data governance to manage data inventory and to ensure a complete and accurate data inventory.

Data Governance

Big Data Engineer - Data Governance Example Questions

Question 1

Question 2

Question 3

🎓 Unlock Premium Access