Final answer:
The advantages of Hadoop are its scalability, allowing addition of nodes to handle more data, and its D. fault tolerance, which ensures data protection even if a node fails.
Step-by-step explanation:
The two advantages of Hadoop are A) Scalability and D) Fault tolerance. Scalability is a key feature, meaning you can add more nodes to the system to handle more data. Fault tolerance provides data protection through its ability to store multiple copies of data and continue operations if a node fails.
The two descriptions that are advantages of Hadoop are scalability and fault tolerance. Hadoop is designed to handle large amounts of data and can scale horizontally by adding more servers to distribute the workload. This makes it ideal for big data applications where storage and processing requirements may grow over time. Additionally, Hadoop has built-in fault tolerance mechanisms that ensure data availability even if individual servers fail.