Data Versioning test - Big Data Engineer questions

Question 1

What is Data Curation in Data Versioning?

A process of removing duplicates from a dataset. A process of compressing data for efficient storage. A process of organizing, selecting and maintaining data in order to ensure its accuracy, reliability and completeness. A process of converting data from one format to another. A process of encrypting data to ensure its security. A process of identifying and removing unwanted data from a dataset.

Correct Answer: A process of organizing, selecting and maintaining data in order to ensure its accuracy, reliability and completeness.

Data curation involves the maintenance and organization of data to ensure its accuracy, reliability and completeness. This is essential for proper functioning of data systems and is an important aspect of data versioning.

Question 2

What is Source Control Versioning in Data Versioning?

A versioning practice that only considers major changes to data and does not track minor changes or bug fixes. A versioning practice that tracks changes made to source code and configuration files. A method of versioning that can only be used with data stored in a single database system. A way to version data that is only relevant for single-user systems. A versioning method that only works with data stored in flat files. A versioning method that creates a new copy of the entire dataset every time a change is made.

Correct Answer: A versioning practice that tracks changes made to source code and configuration files.

Source control versioning is a practice that tracks changes made to source code and configuration files. This allows multiple developers to collaborate on projects and maintain a history of changes, including who made the change and when. Source control versioning is also useful for tracking changes to data workflows, pipelines, and ETL jobs. By versioning these components, it becomes easier to reproduce past outcomes and debug mistakes.

Question 3

What is the purpose of a Data Catalog in Data Versioning?

To automate the process of testing data compatibility between different versions of an application. To provide a centralized location for storing and managing metadata about data, including versioning information. To track the usage of data, including which users have accessed it and how long they have used it. To provide an interface for querying data, without the need to understand how the data is stored or versioned. To ensure that different versions of data can be used together without causing compatibility issues. To monitor the health of a distributed system, including data consistency and performance.

Correct Answer: To provide a centralized location for storing and managing metadata about data, including versioning information.

A data catalog is a centralized location for storing and managing metadata about data. In the context of data versioning, a data catalog can be used to store versioning information about different pieces of data. This can include information about who made changes to the data and when, as well as any compatibility issues that may exist between different versions of the data.

Data Versioning

Big Data Engineer - Data Versioning Example Questions

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