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Big Data Analytics Real-Time Analytics and Streaming Data

Big Data Analytics: Real-Time Analytics and Streaming Data

15 Questions Published
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Questions

Question 1 Multiple Choice (Single Answer)

What is the primary goal of real-time analytics in big data?

  1. To analyze historical data for insights
  2. To process and analyze data as it is generated
  3. To predict future trends based on past data
  4. To store and manage large volumes of data
Question 2 Multiple Choice (Single Answer)

Which technology is commonly used for real-time data processing in big data analytics?

  1. Batch processing
  2. In-memory computing
  3. MapReduce
  4. Data warehousing
Question 3 Multiple Choice (Single Answer)

What is the main challenge associated with streaming data in big data analytics?

  1. Data inconsistency
  2. Data volume
  3. Data latency
  4. Data security
Question 4 Multiple Choice (Single Answer)

Which data processing model is suitable for handling high-velocity and continuous data streams in real-time analytics?

  1. Batch processing
  2. Lambda architecture
  3. Kappa architecture
  4. Data warehousing
Question 5 Multiple Choice (Single Answer)

What is the purpose of a stream processing engine in real-time analytics?

  1. To store and manage large volumes of data
  2. To analyze data in real-time
  3. To predict future trends based on historical data
  4. To visualize data for presentation
Question 6 Multiple Choice (Single Answer)

Which technology is commonly used for visualizing real-time data analytics results?

  1. Spreadsheets
  2. Interactive dashboards
  3. Data warehouses
  4. Relational databases
Question 7 Multiple Choice (Single Answer)

What is the primary benefit of using real-time analytics in business decision-making?

  1. Improved data accuracy
  2. Reduced data storage costs
  3. Faster data processing
  4. Enhanced agility and responsiveness
Question 8 Multiple Choice (Single Answer)

Which industry is a prominent user of real-time analytics for fraud detection and prevention?

  1. Healthcare
  2. Manufacturing
  3. Retail
  4. Financial services
Question 9 Multiple Choice (Single Answer)

What is the main advantage of using Apache Kafka for real-time data streaming?

  1. High data storage capacity
  2. Real-time data analysis
  3. Batch data processing
  4. Data visualization
Question 10 Multiple Choice (Single Answer)

Which technology is commonly used for real-time data integration in big data analytics?

  1. ETL (Extract, Transform, Load)
  2. Data warehousing
  3. Data mining
  4. Machine learning
Question 11 Multiple Choice (Single Answer)

What is the primary challenge associated with managing streaming data in real-time analytics?

  1. Data inconsistency
  2. Data volume
  3. Data latency
  4. Data security
Question 12 Multiple Choice (Single Answer)

Which technology is commonly used for real-time data warehousing in big data analytics?

  1. Hadoop
  2. Spark
  3. Cassandra
  4. MongoDB
Question 13 Multiple Choice (Single Answer)

What is the main advantage of using Apache Storm for real-time data processing?

  1. High data storage capacity
  2. Real-time data analysis
  3. Batch data processing
  4. Data visualization
Question 14 Multiple Choice (Single Answer)

Which technology is commonly used for real-time data visualization in big data analytics?

  1. Tableau
  2. Power BI
  3. Google Data Studio
  4. QlikView
Question 15 Multiple Choice (Single Answer)

What is the primary benefit of using real-time analytics in customer relationship management (CRM)?

  1. Improved data accuracy
  2. Reduced data storage costs
  3. Faster data processing
  4. Enhanced customer experience and satisfaction
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