Which storage option is supported for direct HDFS use in Hadoop on OCI?

Prepare for the HPC Big Data Veteran Deck Test with our comprehensive quiz. Featuring flashcards and multiple-choice questions with explanations. Enhance your knowledge and excel in your exam!

The correct storage option for direct HDFS use in Hadoop on OCI is Block Volume. Block Volumes provide high-performance and low-latency storage that is ideal for applications requiring fast and direct access to data. When Hadoop is configured to use HDFS (Hadoop Distributed File System), it benefits greatly from the characteristics of block storage, which allows for efficient reading and writing of data in blocks as opposed to files, enabling Hadoop to leverage the high throughput required for big data processing.

It is crucial for users working with large datasets and analytics processes to have a storage medium that can handle the fast I/O operations typical of Hadoop. Block Volumes are designed to support such workloads, thus making them the preferred choice for direct integration with HDFS in a Hadoop environment on OCI.

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