WorksheetsBIT_QUIZ_Hadoop
Total questions: 15
Worksheet time: 8mins
What does the 'Variety' aspect of Big Data refer to?
The amount of data being generated
The speed at which data is produced
The types and formats of data
The correctness of data
Which of the following is used in Hadoop for distributed storage?
Hive
HDFS
YARN
Spark
Which technology enables resource management in a Hadoop cluster?
MapReduce
YARN
HDFS
Pig
What is Apache Spark primarily known for?
Real-time processing using batch jobs
Disk-based computation
Resource management
In-memory computation for fast analytics
What does MapReduce do in the Hadoop ecosystem?
Manages job execution
Provides data security
Splits and processes large data sets in parallel
Stores data
What is the purpose of Apache Zookeeper?
Coordinates and manages distributed applications
Stores massive unstructured data
In-memory computation
Provides SQL support
Why is traditional RDBMS not suitable for Big Data?
It lacks GUI
It cannot support SQL
It fails to handle large volume, variety, and velocity of data
It is open-source
A research lab is storing high-resolution satellite images, videos, and sensor data from different instruments. What Big Data characteristic does this scenario highlight?
Volume
Variety
Velocity
Veracity
You are developing a healthcare monitoring system using wearable sensors that stream data continuously. Which Big Data technologies should you consider for processing this stream?
Spark Streaming and Kafka
Hive and Pig
HDFS and MapReduce
Cassandra and ZooKeeper
Which of the following is a NoSQL database suitable for handling unstructured data?
Oracle
Hive
Cassandra
MySQL
According to the CAP theorem, a distributed system can guarantee at most how many of the following three properties: Consistency, Availability, and Partition Tolerance?
1
2
3
None
In the context of CAP theorem, which of the following best describes "Consistency"?
Every request receives a response, without guarantee it contains the latest data
All nodes see the same data at the same time
The system continues to function despite network partitions
All writes are acknowledged immediately
What happens in a distributed system when a network partition occurs, based on the CAP theorem?
The system becomes faster
The system loses all data
A choice must be made between consistency and availability
None
What is the role of the NameNode in HDFS?
Executes MapReduce programs
Stores actual data
Manages the file system namespace and metadata
Compresses the data blocks
In HDFS, if a DataNode fails, what happens to its data?
It is lost permanently
NameNode replicates it from other nodes
System crashes
JobTracker handles the recovery
