Databricks Lakehouse Fundamentals Test

What does the Databricks Lakehouse Platform provide to data teams? - Answer- One centralized user interface so that data practitioners work in the same environment Where does Delta Lake fit into the Databricks Lakehouse Platform? - Answer- It runs under the hood of the Databricks Lakehouse Platform to power queries run It works in an organization's data warehouse to help migrate data into a data lake It sits on top of an organization's open data lake and provides structure to the many types of data stored within that data lake It works in concert with existing tools to bring auditing and sharing capabilities to data shared across organizations What is true about an organization's data when they use Databricks? - Answer- Data that is stored while it's being processed by Databricks is always encrypted Which statement is true about queries run from Databricks SQL? - Answer- They automatically connect to business intelligence tools without the need for additional configuration What describes how the Databricks Lakehouse Platform functions within an organization, at a high level? - Answer- Streaming data lands in multiple data warehouses. It is filtered through Delta Lake, which determines which data warehouse the data should be kept in. That data is then used by data practitioners for their data use cases. Structured, semi-structured, and unstructured data are captured in Delta Lake. The data is then passed to a data lake, where it is given structure and munged for quality. That data is then used by data practitioners for their data use cases. A variety of data types land in an organization's open data lake. Delta Lake augments that data lake by providing structure and governance to that data. That data is then used by data practitioners for their data use cases. Real-time data is captured in Delta Lake and ultimately lands in an organization's data warehouse. That data is then used by data practitioners for their data use cases. The Lakehouse was created by combining the most useful elements of which data management strategies? - Answer- Data lakes and data warehouses One of the key features delivered by the Databricks Lakehouse platform is that data storage is decoupled from compute. What is a direct benefit of decoupling storage from compute? - Answer- The cost of storage and compute are managed separately and can be scaled to accommodate more concurrent users or larger datasets independently Del