The ____ in Apache Pig is used for sorting data in a dataset.
- ARRANGE
- GROUP BY
- ORDER BY
- SORT BY
The 'SORT BY' clause in Apache Pig is used for sorting data in a dataset based on one or more fields. It arranges the data in ascending or descending order, providing flexibility in handling sorted data for further processing.
What is the block size used by HDFS for storing data by default?
- 128 MB
- 256 MB
- 512 MB
- 64 MB
The default block size used by Hadoop Distributed File System (HDFS) for storing data is 128 MB. This block size is configurable but is set to 128 MB in many Hadoop distributions as it provides a balance between storage efficiency and parallel processing.
____ is a popular Scala-based tool for interactive data analytics with Hadoop.
- Flink
- Hive
- Pig
- Spark
Spark is a popular Scala-based tool for interactive data analytics with Hadoop. It provides a fast and general-purpose cluster computing framework for big data processing, making it suitable for various data processing tasks.
In a Hadoop cluster, ____ is used to detect and handle the failure of DataNode machines.
- Failover Controller
- NameNode
- NodeManager
- ResourceManager
The Failover Controller in a Hadoop cluster is responsible for detecting and handling the failure of DataNode machines. It ensures that data availability is maintained by redirecting tasks to healthy DataNodes when a failure occurs.
What is the significance of the WAL (Write-Ahead Log) in HBase?
- Ensuring Data Durability
- Load Balancing
- Managing Table Schema
- Reducing Latency
The Write-Ahead Log (WAL) in HBase is significant for ensuring data durability. It records changes to the data store before they are applied, acting as a safeguard in case of system failures. This mechanism enhances the reliability of data and helps in recovering from unexpected incidents.
What role does the configuration of Hadoop's I/O settings play in cluster performance optimization?
- Data Compression
- Disk Speed
- I/O Buffering
- Network Bandwidth
The configuration of Hadoop's I/O settings, including I/O buffering, plays a crucial role in cluster performance optimization. Proper tuning can enhance data transfer efficiency, reduce latency, and improve overall I/O performance, especially in scenarios involving large-scale data processing.
What is the primary role of Apache Flume in the Hadoop ecosystem?
- Data Analysis
- Data Ingestion
- Data Processing
- Data Storage
The primary role of Apache Flume in the Hadoop ecosystem is data ingestion. It is designed for efficiently collecting, aggregating, and moving large amounts of log data or events from various sources to centralized storage, such as HDFS, for further processing and analysis.
MRUnit's ability to simulate the Hadoop environment is critical for what aspect of application development?
- Integration Testing
- Performance Testing
- System Testing
- Unit Testing
MRUnit's ability to simulate the Hadoop environment is critical for unit testing Hadoop MapReduce applications. It enables developers to test their MapReduce logic in isolation, without the need for a full Hadoop cluster, making the development and debugging process more efficient.
Which component of YARN acts as the central authority and manages the allocation of resources among all the applications?
- ApplicationMaster
- Hadoop Distributed File System
- NodeManager
- ResourceManager
The ResourceManager in YARN acts as the central authority for resource management. It oversees the allocation of resources among all applications running in the Hadoop cluster, ensuring optimal utilization and fair distribution of resources.
Which component in the Hadoop ecosystem is responsible for maintaining system state and metadata?
- Apache ZooKeeper
- HBase RegionServer
- HDFS DataNode
- YARN ResourceManager
Apache ZooKeeper is the component in the Hadoop ecosystem responsible for maintaining system state and metadata. It plays a crucial role in coordination and synchronization tasks, ensuring consistency and reliability in distributed systems.