What should you recommend?

You need to recommend the appropriate storage and processing solution?

What should you recommend?
A . Enable auto-shrink on the database.
B . Flush the blob cache using Windows PowerShell.
C . Enable Apache Spark RDD (RDD) caching.
D . Enable Databricks IO (DBIO) caching.
E . Configure the reading speed using Azure Data Studio.

View Answer

Answer: C

Explanation:

Scenario: You must be able to use a file system view of data stored in a blob. You must build an architecture that will allow Contoso to use the DB FS filesystem layer over a blob store.

Databricks File System (DBFS) is a distributed file system installed on Azure Databricks clusters. Files in DBFS persist to Azure Blob storage, so you won’t lose data even after you terminate a cluster.

The Databricks Delta cache, previously named Databricks IO (DBIO) caching, accelerates data reads by creating copies of remote files in nodes’ local storage using a fast intermediate data format. The data is cached automatically whenever a file has to be fetched from a remote location. Successive reads of the same data are then performed locally, which results in significantly improved reading speed.

Reference: https://docs.databricks.com/delta/delta-cache.html#delta-cache