What is the purpose of Data Augmentation in Fusion Analytics Warehouse?

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Multiple Choice

What is the purpose of Data Augmentation in Fusion Analytics Warehouse?

Explanation:
Data Augmentation in Fusion Analytics Warehouse focuses on keeping the extended data secure by applying encryption to the augmented datasets. As you enrich a dataset with additional attributes or sources, encryption protects sensitive values, ensuring confidentiality whether the data is stored or moved. This supports governance and compliance when handling richer, combined data. The other actions described are about bringing in more content (data integration), managing who can access data (user roles), or controlling when data processes run (ETL scheduling), none of which define the purpose of augmenting data. Encrypting data is the mechanism that preserves privacy and security as you broaden the dataset.

Data Augmentation in Fusion Analytics Warehouse focuses on keeping the extended data secure by applying encryption to the augmented datasets. As you enrich a dataset with additional attributes or sources, encryption protects sensitive values, ensuring confidentiality whether the data is stored or moved. This supports governance and compliance when handling richer, combined data.

The other actions described are about bringing in more content (data integration), managing who can access data (user roles), or controlling when data processes run (ETL scheduling), none of which define the purpose of augmenting data. Encrypting data is the mechanism that preserves privacy and security as you broaden the dataset.

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