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Big Data Analytics

Big Data Analytics involves processing and analyzing vast amounts of data to uncover patterns, trends, and insights that traditional data processing methods may overlook. It often utilizes distributed computing frameworks like Apache Hadoop and Spark.

Which file format is splittable and compressible?
  1. A-CSV
  2. B-JSON
  3. C-Parquet
  4. D-AVRO
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Which Spark library does graph analytics?
  1. A-MLlib
  2. B-Spark SQL
  3. C-GraphX
  4. D-Streaming
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Which Hadoop daemon manages storage?
  1. A-NameNode
  2. B-DataNode
  3. C-ResourceManager
  4. D-NodeManager
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Which of the following is an example of a key performance indicator (KPI) in web analytics?
  1. A-Number of website visitors
  2. B-Website design layout
  3. C-Website hosting provider
  4. D-Website domain name
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Which of the following is not a common application of Big Data Analytics in web development?
  1. A-Personalized recommendations
  2. B-Fraud detection
  3. C-Natural language processing
  4. D-Graphic design
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What is the primary goal of sentiment analysis?
  1. A-To analyze data stored in a NoSQL database
  2. B-To analyze the emotional tone of text data
  3. C-To optimize data storage and retrieval
  4. D-To predict future stock market trends
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Which of the following is not a commonly used data visualization tool?
  1. A-Tableau
  2. B-Matplotlib
  3. C-Power BI
  4. D-Hadoop
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What is the purpose of data visualization in Big Data Analytics?
  1. A-To make data easier to understand and interpret
  2. B-To encrypt sensitive data
  3. C-To store large volumes of data
  4. D-To perform complex statistical analysis
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Which of the following is not a step in the data analytics process?
  1. A-Data collection
  2. B-Data visualization
  3. C-Data cleansing
  4. D-Data encryption
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Which type of analytics focuses on recommending the best course of action?
  1. A-Descriptive analytics
  2. B-Predictive analytics
  3. C-Prescriptive analytics
  4. D-Diagnostic analytics
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Which type of analytics focuses on predicting future outcomes?
  1. A-Descriptive analytics
  2. B-Predictive analytics
  3. C-Prescriptive analytics
  4. D-Diagnostic analytics
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Which type of analytics focuses on describing what happened in the past?
  1. A-Descriptive analytics
  2. B-Predictive analytics
  3. C-Prescriptive analytics
  4. D-Diagnostic analytics
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Which of the following is an example of unstructured data?
  1. A-Customer transactions in a database
  2. B-Text documents
  3. C-Stock market data
  4. D-Sensor readings
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Which of the following is an example of structured data?
  1. A-Social media posts
  2. B-Sensor data
  3. C-Email messages
  4. D-Database tables
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Which of the following is not a common challenge in Big Data Analytics?
  1. A-Data security and privacy
  2. B-Data volume and velocity
  3. C-Data validity and reliability
  4. D-Data integration and quality
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What is MapReduce?
  1. A-A programming model for processing large datasets in parallel.
  2. B-A relational database management system.
  3. C-A NoSQL database.
  4. D-A data visualization tool.
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Which of the following is a popular tool for real-time Big Data processing?
  1. A-Apache Hadoop
  2. B-Apache Spark
  3. C-MongoDB
  4. D-Cassandra
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Which programming language is commonly used for Big Data Analytics?
  1. A-Java
  2. B-Python
  3. C-C++
  4. D-Ruby
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Which technology is commonly used for distributed storage and processing of Big Data?
  1. A-MongoDB
  2. B-MySQL
  3. C-Hadoop
  4. D-SQLite
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Which of the following is not a characteristic of Big Data?
  1. A-Volume
  2. B-Velocity
  3. C-Variety
  4. D-Validity
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What is Big Data Analytics?
  1. A-Analyzing small datasets using traditional methods.
  2. B-Analyzing large volumes of data to extract useful insights.
  3. C-Analyzing only structured data.
  4. D-Analyzing data without any specific purpose.
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What role does distributed storage play in big data analytics?
  1. A-Enhancing website aesthetics
  2. B-Improving data security
  3. C-Storing and processing data across multiple servers
  4. D-Reducing server load times
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How does big data analytics contribute to improved customer experience?
  1. A-Optimizing website speed
  2. B-Personalizing content based on user behavior
  3. C-Reducing server response time
  4. D-Increasing image file sizes
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What is the primary goal of data mining in the context of big data analytics?
  1. A-Analyzing historical data
  2. B-Discovering patterns and trends
  3. C-Real-time data processing
  4. D-Enhancing website aesthetics
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How does big data analytics address scalability challenges?
  1. A-Reducing image file sizes
  2. B-Implementing cloud-based solutions
  3. C-Optimizing server speed
  4. D-Increasing server response time
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Which programming language is commonly used for big data analytics and machine learning?
  1. A-Java
  2. B-Python
  3. C-C++
  4. D-Ruby
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What is the primary function of data wrangling in big data analytics?
  1. A-Data encryption
  2. B-Data aggregation
  3. C-Data cleaning and organization
  4. D-Data compression
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How does big data analytics impact website SEO?
  1. A-Enhancing website aesthetics
  2. B-Improving user experience and content relevance
  3. C-Increasing server response time
  4. D-Optimizing image file sizes
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Which technology is often used for real-time data processing in big data analytics?
  1. A-Hadoop
  2. B-Spark
  3. C-MongoDB
  4. D-MySQL
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What is the primary purpose of big data analytics in business?
  1. A-Enhancing website aesthetics
  2. B-Improving decision-making through insights
  3. C-Storing large volumes of data
  4. D-Optimizing server performance
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