Câu 84: Databricks Certified Data Engineer Professional

A large company seeks to implement a near real-time solution involving hundreds of pipelines with parallel updates of many tables with extremely high volume and high velocity data. Which of the following solutions would you implement to achieve this requirement?

1. A. Use Databricks High Concurrency clusters, which leverage optimized cloud storage connections to maximize data throughput.
2. B. Partition ingestion tables by a small time duration to allow for many data files to be written in parallel. — đáp án hiện tại
3. C. Configure Databricks to save all data to attached SSD volumes instead of object storage, increasing file I/O significantly.
4. D. Isolate Delta Lake tables in their own storage containers to avoid API limits imposed by cloud vendors.
5. E. Store all tables in a single database to ensure that the Databricks Catalyst Metastore can load balance overall throughput.