____ is a critical step in Hadoop data pipelines, ensuring data quality and usability.
- Data Cleaning
- Data Encryption
- Data Ingestion
- Data Replication
Data Cleaning is a critical step in Hadoop data pipelines, ensuring data quality and usability. This process involves identifying and rectifying errors, inconsistencies, and inaccuracies in the data, making it suitable for analysis and reporting.
In Hadoop, the process of replicating data blocks to multiple nodes is known as _____.
- Allocation
- Distribution
- Replication
- Sharding
The process of replicating data blocks to multiple nodes in Hadoop is known as Replication. This practice helps in achieving fault tolerance and ensures that data is available even if some nodes in the cluster experience failures.
For ensuring data durability in Hadoop, ____ is a critical factor in capacity planning, especially for backup and recovery purposes.
- Data Availability
- Data Compression
- Data Integrity
- Fault Tolerance
For ensuring data durability in Hadoop, Fault Tolerance is a critical factor in capacity planning. Fault tolerance mechanisms, such as data replication and redundancy, help safeguard against data loss and enhance the system's ability to recover from failures.
In the context of Big Data, which 'V' refers to the trustworthiness and reliability of data?
- Variety
- Velocity
- Veracity
- Volume
In Big Data, 'Veracity' refers to the trustworthiness and reliability of data, ensuring that data is accurate and can be trusted for analysis.
In Hadoop, the ____ compression codec is often used for its splittable property, allowing efficient parallel processing.
- Bzip2
- Gzip
- LZO
- Snappy
In Hadoop, the Snappy compression codec is often used for its splittable property, enabling efficient parallel processing. Snappy is known for its fast compression and decompression speed, making it suitable for big data applications where performance is crucial.
Advanced Hadoop administration involves the use of ____ for securing data transfers within the cluster.
- Kerberos
- OAuth
- SSL/TLS
- VPN
Advanced Hadoop administration involves the use of SSL/TLS for securing data transfers within the cluster. Implementing secure socket layer (SSL) or transport layer security (TLS) protocols helps encrypt data during transit, ensuring the confidentiality and integrity of sensitive information.
In Java, the ____ class is essential for configuring and executing Hadoop jobs.
- HadoopConfig
- JobConf
- MapReduce
- TaskTracker
In Java, the JobConf class is essential for configuring and executing Hadoop jobs. It allows developers to specify job-related parameters and settings for MapReduce tasks.
Given a use case of real-time data transformation, how would you leverage Hadoop's capabilities?
- Apache Kafka
- Apache Pig
- Apache Storm
- MapReduce
In real-time data transformation scenarios, Apache Storm is a suitable Hadoop ecosystem component. Apache Storm is designed for processing streaming data in real-time, making it effective for continuous and low-latency data transformations in Hadoop environments.
What is the significance of the 'COGROUP' operation in Apache Pig?
- Data Grouping
- Data Loading
- Data Partitioning
- Data Replication
The 'COGROUP' operation in Apache Pig is significant for data grouping. It groups data from multiple relations based on a common key, creating a new relation with grouped data. This operation is crucial for aggregating and analyzing data from different sources in a meaningful way.
What is the default block size in HDFS for Hadoop 2.x and later versions?
- 128 GB
- 128 MB
- 256 MB
- 64 MB
The default block size in HDFS for Hadoop 2.x and later versions is 128 MB. This block size is a critical parameter influencing data distribution and storage efficiency in the Hadoop Distributed File System.