What term describes the large volume of data generated from various sources at a high velocity?
A) Structured Data
B) Big Data
C) Relational Data
D) Unstructured Data
Answer: B) Big Data
Which technology is commonly used for processing and analyzing large datasets in a distributed computing environment?
A) MySQL
B) Hadoop
C) Oracle Database
D) MongoDB
Answer: B) Hadoop
What is the term for the process of extracting useful information from large datasets?
A) Data Storage
B) Data Analytics
C) Data Mining
D) Data Aggregation
Answer: C) Data Mining
Which type of data is characterized by its lack of a predefined data model?
A) Structured Data
B) Semi-Structured Data
C) Unstructured Data
D) Relational Data
Answer: C) Unstructured Data
Which programming language is commonly used for Big Data processing and analysis?
A) Java
B) Python
C) C++
D) Ruby
Answer: B) Python
What is the term for the ability of a system to handle a growing amount of work or its potential to be enlarged to accommodate that growth?
A) Scalability
B) Reliability
C) Efficiency
D) Flexibility
Answer: A) Scalability
Which of the following is NOT a characteristic of Big Data?
A) Volume
B) Velocity
C) Variety
D) Validity
Answer: D) Validity
What technology is used for real-time processing and analysis of streaming data?
A) Apache Hadoop
B) Spark Streaming
C) Apache Hive
D) Apache Pig
Answer: B) Spark Streaming
Which storage system is designed to handle large-scale datasets across distributed commodity servers?
A) Hadoop Distributed File System (HDFS)
B) Relational Database Management System (RDBMS)
C) NoSQL Database
D) Apache Kafka
Answer: A) Hadoop Distributed File System (HDFS)
What is the term for the process of combining different types of data from various sources?
A) Data Integration
B) Data Cleansing
C) Data Visualization
D) Data Aggregation
Answer: A) Data Integration
Which of the following is a primary challenge associated with Big Data?
A) Limited storage options
B) Slow data processing speed
C) Difficulty in data analysis
D) Lack of data sources
Answer: C) Difficulty in data analysis
What technology is used to store and manage semi-structured and unstructured data?
A) Apache Spark
B) Apache HBase
C) MongoDB
D) Apache Cassandra
Answer: C) MongoDB
Which of the following is a technique used to handle missing or incomplete data in a dataset?
A) Data Mining
B) Data Cleansing
C) Data Visualization
D) Data Integration
Answer: B) Data Cleansing
What is the term for the process of summarizing large datasets into smaller, more manageable subsets?
A) Data Aggregation
B) Data Integration
C) Data Cleansing
D) Data Visualization
Answer: A) Data Aggregation
Which of the following is NOT a component of the Hadoop ecosystem?
A) HDFS
B) MapReduce
C) Spark
D) MongoDB
Answer: D) MongoDB
What technology is used to capture, store, and process large volumes of event data in real-time?
A) Apache Kafka
B) Apache Hadoop
C) Apache Spark
D) Apache Hive
Answer: A) Apache Kafka
What is the term for the ability of a system to recover from failures and continue operating without interruption?
A) Scalability
B) Reliability
C) Efficiency
D) Fault Tolerance
Answer: D) Fault Tolerance
Which of the following is a common use case for Big Data analytics?
A) Weather forecasting
B) Social media marketing
C) Financial fraud detection
D) All of the above
Answer: D) All of the above
What technology is used for distributed data storage and real-time querying?
A) Apache Hive
B) Apache HBase
C) Apache Pig
D) Apache Spark
Answer: B) Apache HBase
Which of the following is NOT a characteristic of NoSQL databases?
A) Structured schema
B) Horizontal scalability
C) High availability
D) Partition tolerance
Answer: A) Structured schema
What is the term for the process of transforming raw data into a more structured format suitable for analysis?
A) Data Aggregation
B) Data Cleansing
C) Data Integration
D) Data Transformation
Answer: D) Data Transformation
Which of the following is a technique used to analyze large datasets to uncover hidden patterns and insights?
A) Data Mining
B) Data Cleansing
C) Data Aggregation
D) Data Visualization
Answer: A) Data Mining
What technology is used for processing and analyzing large datasets in memory?
A) Apache Hadoop
B) Apache Spark
C) Apache Kafka
D) Apache Storm
Answer: B) Apache Spark
Which of the following is a primary advantage of using Big Data analytics?
A) Improved decision-making
B) Reduced data storage costs
C) Decreased data processing time
D) Enhanced data security
Answer: A) Improved decision-making
What technology is used for querying and analyzing large datasets stored in Hadoop?
A) Apache Spark
B) Apache Pig
C) Apache Hive
D) Apache HBase
Answer: C) Apache Hive
Which of the following is a characteristic of real-time data processing?
A) Batch processing
B) High latency
C) Near real-time response
D) Delayed analytics
Answer: C) Near real-time response
What is the term for the process of visualizing large datasets to uncover trends and patterns?
A) Data Mining
B) Data Cleansing
C) Data Aggregation
D) Data Visualization
Answer: D) Data Visualization
Which of the following is NOT a component of the Lambda architecture for Big Data processing?
A) Batch Layer
B) Speed Layer
C) Serving Layer
D) Analysis Layer
Answer: D) Analysis Layer
What technology is used for distributed data processing and execution of complex workflows?
A) Apache Hadoop
B) Apache Spark
C) Apache Kafka
D) Apache Storm
Answer: D) Apache Storm
Which of the following is a characteristic of data scalability?
A) Ability to handle increasing data volume
B) Ability to process data quickly
C) Ability to ensure data consistency
D) Ability to reduce data redundancy
Answer: A) Ability to handle increasing data volume
What is the term for the process of ensuring that data is accurate, consistent, and up-to-date?
A) Data Integration
B) Data Quality
C) Data Mining
D) Data Aggregation
Answer: B) Data Quality
Which of the following is NOT a common challenge associated with Big Data analytics?
A) Data security
B) Data governance
C) Data duplication
D) Data privacy
Answer: C) Data duplication
What technology is used for storing and querying large volumes of structured and semi-structured data?
A) Apache Hadoop
B) Apache Hive
C) Apache Kafka
D) Apache Spark
Answer: B) Apache Hive
Which of the following is a technique used to reduce the dimensionality of large datasets?
A) Principal Component Analysis (PCA)
B) Data Cleansing
C) Data Integration
D) Data Aggregation
Answer: A) Principal Component Analysis (PCA)
What is the term for the process of ensuring that data is available and accessible when needed?
A) Data Scalability
B) Data Consistency
C) Data Availability
D) Data Reliability
Answer: C) Data Availability
Which of the following is NOT a type of data analytics commonly used in Big Data applications?
A) Descriptive Analytics
B) Predictive Analytics
C) Diagnostic Analytics
D) Conclusive Analytics
Answer: D) Conclusive Analytics
What technology is used for distributed message brokering and stream processing?
A) Apache Kafka
B) Apache Hadoop
C) Apache Spark
D) Apache Pig
Answer: A) Apache Kafka
Which of the following is a common challenge associated with Big Data storage?
A) Data redundancy
B) Data velocity
C) Data consistency
D) Data availability
Answer: A) Data redundancy
What is the term for the process of storing and managing data in a way that ensures data quality and consistency?
A) Data Governance
B) Data Integration
C) Data Warehousing
D) Data Cleansing
Answer: A) Data Governance
Which of the following is NOT a primary component of the Hadoop ecosystem?
A) HDFS
B) MapReduce
C) Apache Kafka
D) YARN
Answer: C) Apache Kafka
What technology is used to perform real-time analysis and visualization of streaming data?
A) Apache Hadoop
B) Apache Kafka
C) Apache Hive
D) Apache Spark
Answer: D) Apache Spark
Which of the following is a characteristic of structured data?
A) Lack of organization
B) Not easily analyzable
C) Conforms to a fixed schema
D) Varied formats
Answer: C) Conforms to a fixed schema
What technology is used to store and retrieve data in key-value pairs with high scalability?
A) Apache Cassandra
B) MongoDB
C) MySQL
D) Apache HBase
Answer: D) Apache HBase
Which of the following is NOT a phase of the data processing pipeline in Big Data systems?
A) Ingestion
B) Storage
C) Analysis
D) Virtualization
Answer: D) Virtualization
What is the term for the process of preparing and transforming raw data for analysis?
A) Data Storage
B) Data Warehousing
C) Data Ingestion
D) Data Preprocessing
Answer: D) Data Preprocessing
Which of the following is a technique used to handle missing values in a dataset?
A) Data Sampling
B) Data Imputation
C) Data Interpolation
D) Data Filtering
Answer: B) Data Imputation
What technology is used for distributed data processing and computation?
A) Apache Pig
B) Apache Kafka
C) Apache Hadoop
D) Apache Hive
Answer: C) Apache Hadoop
Which of the following is a characteristic of data velocity?
A) Volume of data
B) Rate of data generation
C) Variety of data sources
D) Structure of data
Answer: B) Rate of data generation
What is the term for the process of combining multiple datasets into a single unified view?
A) Data Integration
B) Data Fusion
C) Data Federation
D) Data Merging
Answer: A) Data Integration
Which of the following is a characteristic of data veracity?
A) Consistency of data
B) Trustworthiness of data
C) Variety of data sources
D) Volume of data
Answer: B) Trustworthiness of data
What technology is used for distributed data querying and analysis in real-time?
A) Apache Pig
B) Apache Hive
C) Apache Impala
D) Apache HBase
Answer: C) Apache Impala
Which of the following is a commonly used technique for data compression in Big Data systems?
A) GZIP
B) ZIP
C) TAR
D) RAR
Answer: A) GZIP
What is the term for the process of partitioning and distributing data across multiple nodes in a cluster?
A) Data Replication
B) Data Sharding
C) Data Partitioning
D) Data Serialization
Answer: C) Data Partitioning
Which of the following is NOT a common challenge in Big Data analytics?
A) Data Security
B) Data Volume
C) Data Quality
D) Data Latency
Answer: B) Data Volume
What technology is used for distributed, fault-tolerant storage of large datasets?
A) Apache ZooKeeper
B) Apache Hadoop
C) Apache Spark
D) Apache Cassandra
Answer: D) Apache Cassandra
Which of the following is a technique used to reduce the amount of data transferred between nodes in a cluster?
A) Data Serialization
B) Data Compression
C) Data Encryption
D) Data Deduplication
Answer: D) Data Deduplication
What technology is used for real-time analysis of clickstream data and user interactions?
A) Apache Flume
B) Apache Kafka
C) Apache Storm
D) Apache Hadoop
Answer: C) Apache Storm
Which of the following is a characteristic of data variety?
A) Rate of data generation
B) Consistency of data
C) Structure of data
D) Trustworthiness of data
Answer: C) Structure of data
What is the term for the process of transforming raw data into a more structured format for analysis?
A) Data Ingestion
B) Data Cleansing
C) Data Transformation
D) Data Mining
Answer: C) Data Transformation
Which of the following is a characteristic of data governance?
A) Ensuring data security
B) Ensuring data availability
C) Defining data ownership
D) Defining data structures
Answer: C) Defining data ownership
What technology is used for distributed stream processing and real-time analytics?
A) Apache Kafka
B) Apache Hadoop
C) Apache Spark
D) Apache Storm
Answer: D) Apache Storm
Which of the following is a characteristic of data latency?
A) Rate of data generation
B) Time delay in data processing
C) Variety of data sources
D) Trustworthiness of data
Answer: B) Time delay in data processing
What is the term for the process of reducing the size of large datasets to improve processing efficiency?
A) Data Sampling
B) Data Aggregation
C) Data Compression
D) Data Deduplication
Answer: C) Data Compression
Which of the following is a commonly used technique for data encryption in Big Data systems?
A) RSA
B) AES
C) DES
D) Triple-DES
Answer: B) AES
What technology is used for distributed message queuing and reliable data delivery?
A) Apache Kafka
B) Apache Hadoop
C) Apache Spark
D) Apache Flume
Answer: D) Apache Flume
