A. The best performance expectation one can have is measured in seconds. This is because Hadoop can only be used for batch processing
B. The best performance expectation one can have is measured in milliseconds. This is because Hadoop executes in parallel across so many machines
C. The best performance expectation one can have is measured in minutes. This is because Hadoop can only be used for batch processing
D. It depends on on the design of the map-reduce program, how many machines in the cluster, and the amount of data being retrieved
Answer: A
B. The best performance expectation one can have is measured in milliseconds. This is because Hadoop executes in parallel across so many machines
C. The best performance expectation one can have is measured in minutes. This is because Hadoop can only be used for batch processing
D. It depends on on the design of the map-reduce program, how many machines in the cluster, and the amount of data being retrieved
Answer: A
Thank you for sharing questions on Big data hadoop online Course
ReplyDeleteThank you for sharing these Hadoop questions! The industry really does expect us to know the ins and outs of distributed computing. I've been researching training options and keep hearing about the best data science institute in electronic city bangalore for hands-on learning. Questions like MapReduce optimization and Hive tuning are exactly what interviewers grill candidates on. If anyone has experience with their curriculum, I'd love to hear about it. I'm eager to move from a data analyst role to a data engineer position soon!
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