51. Which distributed computing framework is known for its high-speed, low-latency data processing capabilities and is suitable for real-time analytics? A. Apache Kafka B. Apache HBase C. Apache Spark D. Apache Hive Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
52. What is the primary goal of "data deduplication" in big data storage and processing? A. To increase data variety B. To reduce storage space and data redundancy C. To improve data visualization D. To slow down data velocity Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
53. In distributed computing, what is the primary purpose of a "Job Tracker" in the Hadoop MapReduce framework? A. Storing metadata B. Managing job scheduling C. Storing and managing data blocks D. Managing data visualization Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
54. Which distributed computing framework is commonly used for interactive data analytics and SQL-like querying of large datasets in real-time? A. Apache Kafka B. Apache HBase C. Apache Spark D. Apache Drill Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
55. In big data analytics, what does the term "data transformation" involve? A. Reducing data volume B. Shuffling data across nodes C. Preparing data for analysis D. Encrypting data Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
56. What is the primary advantage of using distributed data processing frameworks like Hadoop and Spark for big data analytics? A. Increased data variety B. Scalability and parallel processing capabilities C. Reduced data storage and transmission costs D. Real-time data collection and analysis Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
57. In the context of big data analytics, what is the term for the process of combining data from multiple sources and formats into a single, unified dataset? A. Data sampling B. Data integration C. Data deduplication D. Data preprocessing Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
58. What is the main purpose of a "Combiner" in the Hadoop MapReduce programming model? A. To split data into smaller chunks B. To process and aggregate data from Mapper tasks C. To optimize data storage in HDFS D. To visualize data relationships Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
59. In distributed computing, what is the primary advantage of using a "Reducer" in the MapReduce programming model? A. To split data into smaller chunks B. To process and aggregate data from Mapper tasks C. To store data in the HDFS D. To visualize data relationships Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
60. What is the primary role of a "Data Scientist" in the context of big data analytics? A. Managing job scheduling B. Data visualization C. Analyzing and extracting insights from data D. Data encryption Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
