A. Hadoop is an ideal environment for extracting and transforming small volumes of data
B. Hadoop stores data in HDFS and supports data compression/decompression
C. The Giraph framework is less useful than a MapReduce job to solve graph and machine learning
D. None of the mentioned
Answer: Option B
This Question Belongs to Hadoop >> Introduction To Hadoop
What is Hadoop primarily designed for?
A. Real-time data processing
B. Batch processing of large datasets
C. Structured data storage
D. In-memory caching
What is the core component of Hadoop responsible for distributed storage?
A. YARN
B. HDFS
C. MapReduce
D. Hive
Which programming language is commonly used for writing MapReduce programs?
A. Python
B. Java
C. Ruby
D. C++
What does HDFS stand for in the context of Hadoop?
A. Hadoop Distributed File System
B. High-level Data Format System
C. Hadoop Data Flow System
D. High-Density File Storage
Join The Discussion