Understanding HDFS Concepts

What are the main components of HDFS architecture?

• BlockManager and FileSystem

• NameNode and DataNodes

• MasterNode and SlaveNodes

• StorageNode and AccessNode

How does HDFS ensure data replication?

• HDFS uses a single copy of each block for efficiency.

• HDFS encrypts data to ensure security.

• HDFS replicates data by storing multiple copies of each block across different nodes.

• HDFS compresses data to reduce storage needs.

What is the default replication factor in HDFS?

• 2

• 1

• 3

• 4

Describe the role of the NameNode in HDFS.

• The NameNode manages the file system namespace and metadata in HDFS.

• The NameNode handles user authentication and access control.

• The NameNode stores all the actual data in HDFS.

• The NameNode is responsible for data replication across nodes.

What is the purpose of DataNodes in HDFS?

• DataNodes are responsible for processing data requests.

• DataNodes handle network security in HDFS.

• DataNodes store and manage the data blocks in HDFS.

• DataNodes serve as the primary interface for user interactions.

How does HDFS store files differently than traditional file systems?

• HDFS stores files in a single location with no replication.

• Traditional file systems use blocks and replicate them across nodes like HDFS.

• HDFS stores files as blocks across multiple nodes with replication, while traditional file systems store files in a single location.

• HDFS stores files in a flat structure without any hierarchy.

What is the significance of block size in HDFS?

• Block size determines the number of replicas in HDFS.

• Block size in HDFS is significant for optimizing storage efficiency, performance, and fault tolerance.

• Block size affects the encryption level of data in HDFS.

• Block size is irrelevant to data retrieval speed.

How does HDFS handle large files?

• HDFS automatically deletes large files after a certain size.

• HDFS stores large files in a single location without splitting.

• HDFS compresses large files into a single block for storage.

• HDFS splits large files into smaller blocks and distributes them across the cluster.

What are the advantages of HDFS over traditional file systems?

• HDFS offers advantages such as fault tolerance, scalability, high throughput for large data sets, and optimized streaming access.

• HDFS requires more hardware resources than traditional file systems.

• HDFS does not support large data sets efficiently.

• HDFS is slower than traditional file systems.

Explain how HDFS achieves fault tolerance.

• HDFS achieves fault tolerance by replicating data blocks across multiple nodes.

• HDFS achieves fault tolerance by compressing data blocks.

• HDFS achieves fault tolerance by using a RAID configuration.

• HDFS achieves fault tolerance by storing data in a single node.