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WorksheetsQ3 Big Data Engineer M1 to M5
Total questions: 30
Worksheet time: 30mins
What defines Big Data in the context of the "3Vs"?
Volume, Validate, and Velocity
Volume, Variety, and Velocity
Variety, Value, and Volume
Volume, Velocity, and Verify
What is the primary challenge in handling Big Data?
Lack of storage solutions
Slow data processing speed
Managing large volumes of data
Data accuracy and consistency
In Big Data processing, what is the primary objective of data validation?
Ensuring data accuracy and consistency
Reducing storage costs
Improving data processing speed
Handling data variety
Which of the following is a typical characteristic of Big Data workloads?
Low data velocity
Highly structured data
High data variability
Low data volume
What is the primary purpose of Hortonworks Data Platform (HDP)?
Data storage and retrieval
Real-time data processing
Providing an integrated platform for managing, processing, and analyzing Big Data
Data visualization and reporting
What is the core storage system used by Hadoop for distributed storage and processing of data?
HBase
Hive
HDFS (Hadoop Distributed File System)
Spark
What component in Hadoop is responsible for resource management and job scheduling in the cluster?
HBase
Hive
YARN (Yet Another Resource Negotiator)
Pig
What is the main function of the MapReduce framework in Hadoop?
Data storage
Data analysis
Data cleansing
Data visualization
In Hadoop, what is the primary role of the ResourceManager in YARN (Yet Another Resource Negotiator)?
Data storage
Data replication
Resource management and scheduling of jobs
Data analysis
What is the primary advantage of using a distributed file system like HDFS over traditional file systems?
Lower cost
Real-time processing
Fault tolerance and scalability
Simplicity
In MapReduce, what is the function of the "Map" phase?
Sorting and shuffling data
Data reduction and aggregation
Splitting the input data into key-value pairs
Writing the output to HDFS
What is the purpose of the "Reduce" phase in MapReduce?
Data cleansing and validation
Data visualization and reporting
Data reduction and aggregation
Data replication
What does a MapReduce job typically take as input and produce as output?
Takes structured data and produces unstructured data
Takes unstructured data and produces structured data
Takes key-value pairs as input and produces key-value pairs as output
Takes raw binary data as input and produces text data as output
In MapReduce, what is the role of the "Shuffle and Sort" phase?
Data replication
Sorting and shuffling data
Data cleansing
Data storage and retrieval
What is a key feature of MapReduce that makes it suitable for processing large datasets?
Real-time data processing
Parallel processing and fault tolerance
Interactive querying
In-memory data processing
What is the primary role of YARN (Yet Another Resource Negotiator) in Hadoop?
Real-time data processing and analysis
Data storage and retrieval
Resource management and job scheduling
Data cleansing and transformation
What is the key improvement that YARN introduces over the classic MapReduce model?
Support for batch processing
Real-time data processing capabilities
Improved resource management with support for various data processing frameworks
Enhanced data security and encryption
In YARN, what is the role of the Resource Manager?
Real-time data processing
Managing data storage
Resource management and scheduling of jobs
Data analysis
In YARN, what is the role of the NodeManager?
Data storage and retrieval
Real-time data processing
Data replication and recovery
Managing resources on individual nodes in the cluster
What is Apache Spark primarily used for in the Big Data ecosystem?
Real-time data processing and analysis
Data storage and retrieval
Data governance and data quality
Data visualization and reporting
What is a key advantage of Spark over Hadoop MapReduce for data processing?
Spark is slower but more reliable
Spark is more efficient at data storage
Spark is faster and better suited for iterative algorithms
Spark is better at handling structured data
What is the main purpose of Hadoop's HDFS (Hadoop Distributed File System)?
Real-time data processing
Data storage and retrieval
Data visualization and reporting
Data cleaning and transformation
What is the primary role of the NameNode in HDFS?
Storing actual data blocks
Managing and storing metadata about data blocks and their locations
Data processing and analysis
Data replication
In HDFS, what is the role of the DataNode?
Data storage
Resource management
Real-time data processing
Job scheduling
What does the "Block Size" parameter in HDFS determine?
The size of each data block
The number of DataNodes in the cluster
The number of files in the filesystem
The size of the HDFS namespace
What is the primary advantage of using HDFS for data storage in Big Data applications?
Real-time processing
Data governance and security
Fault tolerance and scalability
High-speed data processing
The process of extracting valuable insights from Big Data is known as
(a)
Hortonworks Data Platform (HDP) provides an integrated platform for managing, processing, and analyzing Big Data through various (a) tools.
Hadoop's core storage system for distributed data storage and processing is called as
(a)
YARN is defined as
(a)
