What is the main advantage of HDFS?Question 9Answera. Low fault toleranceb.High storage costc. Limited data processing capabilitiesd. High scalability

The main advantage of HDFS (Hadoop Distributed File System) is its high scalability. HDFS is designed to store and manage vast amounts of data across many machines, allowing for the easy addition of new nodes to handle increased data loads. This scalability ensures that organizations can grow their data storage needs without a significant overhaul of their infrastructure.

Let’s briefly analyze the other options:

1. Low fault tolerance - This is incorrect as HDFS is known for its high fault tolerance; it replicates data across multiple nodes to prevent data loss.
2. High storage cost - This is misleading; HDFS is designed to be cost-effective for large-scale storage, utilizing commodity hardware.
3. Limited data processing capabilities - HDFS is designed to complement data processing frameworks like MapReduce, providing robust capabilities for large-scale processing.

In summary, HDFS's ability to efficiently scale with the data demands of an organization makes option d. High scalability the correct answer.