Hadoop

Which of the following is a key challenge faced by traditional databases when handling large datasets?

• Limited network connectivity

• Difficulty in storing large, varied data types

• Low cost of maintenance

• Ease of integrating structured and unstructured data

Which Hadoop component is responsible for resource management and job scheduling in a distributed computing environment?

• HDFS

• YARN

• MapReduce

• HBase

Which feature of HDFS ensures fault tolerance and data availability by replicating data blocks across multiple nodes?

• Data Locality

• Scalability

• Distributed Storage

• Vertical Scaling

How does HDFS make data processing faster?

• By storing data in one place

• By copying data more times

• By moving processing closer to the data

• By using more powerful hardware

Which programming model involves dividing a dataset into smaller tasks and executing them in parallel across a distributed system to handle large-scale data processing?

• MapReduce

• Dataflow Programming

• Hadoop Distributed File System (HDFS)

• Spark

In the Hadoop MapReduce framework, which component is responsible for converting the byte-oriented view of input data into key-value pairs that the Mapper can process?

• InputSplit

• RecordReader

• Partitioner

• Combiner

Which component in the Hadoop MapReduce framework determines how intermediate key-value pairs are distributed among Reducers?

• Mapper

• Combiner

• Shuffle

• Partitioner

What is the primary purpose of the Combiner in the Hadoop MapReduce framework?

• To handle data distribution among Reducers.

• To convert byte-oriented input data into key-value pairs.

• To perform local aggregation of map outputs to reduce data volume before sending it to the Reducer.

• To sort key-value pairs before they are processed by the Reducer.

What is the primary role of the reduce function in Hadoop’s MapReduce framework?

• To split input data into smaller chunks

• To aggregate, summarize, or combine intermediate results with the same key

• To convert byte-oriented data into key-value pairs

• To sort key-value pairs for efficient processing

What does HDFS leverage to reduce the amount of data transferred between the map and reduce tasks?

• Data Replication

• Vertical Scaling

• Data Locality

• File Compression