Data Engineering Associate with Databricks Practice Exam

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What is added to tables when using a DLT?

LIVE
LIVE.table
FROM STREAM()
TABLE() function

The correct answer is: LIVE

When using Delta Live Tables (DLT), the term "LIVE" refers to the ability to define a live pipeline that processes data in real-time. DLT allows for the creation of continuously updated tables that can be queried as soon as data is ingested and transformed. Adding "LIVE" to tables signals that these tables are dynamic and can reflect the latest data changes immediately. This is integral to working with DLT as it underscores its purpose: enabling real-time analytics and streamlining the ETL (Extract, Transform, Load) processes by automating the creation and management of data pipelines. The focus on live, up-to-date data greatly enhances analytical capabilities and optimizes data workflows. In the context of data processing, the other options focus on specific functions or methods related to data retrieval or creation but do not encapsulate the core functionality of DLT in terms of reflecting the live nature of the tables being created. The inclusion of "LIVE" emphasizes the continuous aspect of data management that DLT brings to the table, making it a crucial element of the functionality.