A large organization needs to implement a near real-time ingestion solution to support hundreds of pipelines delivering high-volume, high-velocity updates across multiple tables. Which of the following strategies is most suitable for maximizing write throughput and reducing storage-level contention?

Real Exam

Last updated: January 6, 2026 at 15:41

Deploy Databricks High Concurrency clusters to leverage optimized cloud storage connections for maximum ingestion throughput.

Consolidate all tables into a single database to allow the Databricks Catalyst Metastore to logically balance overall throughput.

Isolate each Delta Lake table in its own dedicated storage container to mitigate API rate limits imposed by cloud vendors.

Partition ingestion tables by a small time duration (e.g., hourly) to facilitate parallel writes of numerous data files across different directories.

Configure Databricks clusters to store all data on attached SSD volumes instead of cloud object storage to enhance file I/O performance.

Databricks Certified Data Engineer - Professional