Applied Big Data and Cloud Computing (21AI62) Module 3 & 4Quiz
Quiz by Ramya k
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- Q1
Which of the following is a key characteristic of data-intensive computing?
High computational power with limited data transfer
Significant data movement and storage with minimal computation
High computational power with extensive use of GPU acceleration
Minimal data transfer with complex algorithmic processing
30s - Q2
In the context of data-intensive computing, which of the following frameworks is specifically designed to handle large-scale data processing across distributed computing resources?
TensorFlow
OpenCV
MATLAB
Apache Spark
30s - Q3
Which of the following best describes data-intensive computations?
Computations that primarily focus on GPU acceleration
Computations that are performed in real-time with minimal latency
Computations that require high-performance CPUs and minimal data transfer
Computations that involve extensive data processing and significant data transfer
30s - Q4
Which of the following tools is NOT typically used for data-intensive computing?
MATLAB
Apache Spark
TensorFlow
Hadoop
30s - Q5
What is the primary focus of the MapReduce programming model in the context of data-intensive computing?
Improving graphical data representation
Parallelizing and distributing data processing tasks
Enhancing real-time data processing
Reducing computational complexity
30s - Q6
What is the primary purpose of the Hadoop Distributed File System (HDFS)?
To enhance graphical data visualization capabilities
To offer a distributed, scalable, and fault-tolerant storage system for large datasets
To facilitate GPU acceleration for computational tasks
To provide a low-latency storage solution for real-time data processing
30s - Q7
In HDFS, what is the role of the NameNode?
To replicate data across multiple nodes
To manage the file system namespace and control access to files
To perform data processing and computations
To store the actual data in blocks
30s - Q8
Which feature of HDFS ensures data reliability and fault tolerance?
Data compression
Data replication
Data encryption
Data sharding
30s - Q9
What is the default block size in HDFS?
32 MB
128 MB
16 MB
64 MB
30s - Q10
How does HDFS handle the scenario when a DataNode fails?
The system shuts down until the DataNode is restored
The NameNode immediately reassigns the data blocks to another DataNode
The data stored on the failed DataNode is lost
The failed DataNode is automatically replaced with a new one
30s - Q11
What command is used to list the contents of a directory in HDFS?
hadoop fs -ls
hadoop fs -list
hdfs ls
hdfs list
30s - Q12
What is the purpose of the Secondary NameNode in HDFS?
To act as a standby NameNode
To handle client requests when the primary NameNode is busy
To perform periodic checkpoints of the file system metadata
To store additional data blocks
30s - Q13
Which HDFS component is responsible for storing the actual data blocks?
Secondary NameNode
NameNode
JobTracker
DataNode
30s - Q14
Which HDFS component's status and information can be monitored using the Web GUI?
DataNode
Secondary NameNode
NameNode
All of the above
30s - Q15
Which command would you use to access the HDFS Web UI from a browser?
http://<datanode-host>:50070
http://<namenode-host>:50070
http://<secondary-namenode-host>:50070
http://<jobtracker-host>:50070
30s