Data Archiving test - Big Data Engineer questions

Question 1

What is the role of compression in data archiving?

Compression actually increases the size of archived data, but makes it easier to read and manipulate. Compression is only used when archiving data to cloud storage, and is not necessary when using on-premises storage solutions. Compression can cause data loss, making it a risky strategy for data archiving. Compression has no effect on the size of archived data, it is only used to speed up the process of accessing and retrieving archived data. Compression reduces the size of archived data, making it easier to store and transport. Compression is only needed for certain types of data, such as audio and video files, and has no impact on other types of data.

Correct Answer: Compression reduces the size of archived data, making it easier to store and transport.

Compression helps reduce the size of archived data, making it easier to store and transport. It is a common strategy used when archiving large amounts of data, especially when storage space is at a premium.

Question 2

What is the role of metadata in data archiving?

Metadata is only used for archiving unstructured data, such as audio and video files or social media posts, and has no impact on structured data such as databases or spreadsheets. Metadata is only necessary for enterprises with large volumes of data to archive, and is not required for small or medium-sized businesses. Metadata is only used for compliance purposes, to ensure that archived data meets specific legal or regulatory requirements. Metadata is only used for indexing and searching archived data, and has no impact on the archiving process itself. Metadata provides additional context and information about archived data, such as the date it was created, the location it was stored, and any relevant keywords or tags. Metadata is not necessary for archiving data, since the archived data is self-contained and complete.

Correct Answer: Metadata provides additional context and information about archived data, such as the date it was created, the location it was stored, and any relevant keywords or tags.

Metadata provides additional context and information about archived data, making it easier to manage, search, and retrieve. Metadata can include a wide range of information, including the date the data was created, the location it was stored, any relevant keywords or tags, and more.

Question 3

What is the recommended maximum size limit for a single data file in a data archive?

1 TB 100 MB It depends on the specific archive format and storage device, but generally ranges from a few gigabytes to several terabytes 1 GB 10 GB 100 GB

Correct Answer: It depends on the specific archive format and storage device, but generally ranges from a few gigabytes to several terabytes

The maximum size limit for a single data file in a data archive depends on the specific archive format and storage device. While some archive formats may have a limit of a few gigabytes, others may support several terabytes. It is important to consider the limitations of the storage device being used, as well as any compatibility issues with the archive format.

Data Archiving

Big Data Engineer - Data Archiving Example Questions

Question 1

Question 2

Question 3

🎓 Unlock Premium Access