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Question 139 - Professional Data Engineer discussion

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You architect a system to analyze seismic dat a. Your extract, transform, and load (ETL) process runs as a series of MapReduce jobs on an Apache Hadoop cluster. The ETL process takes days to process a data set because some steps are computationally expensive. Then you discover that a sensor calibration step has been omitted. How should you change your ETL process to carry out sensor calibration systematically in the future?

A.
Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
Answers
A.
Modify the transformMapReduce jobs to apply sensor calibration before they do anything else.
B.
Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
Answers
B.
Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.
C.
Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
Answers
C.
Add sensor calibration data to the output of the ETL process, and document that all users need to apply sensor calibration themselves.
D.
Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
Answers
D.
Develop an algorithm through simulation to predict variance of data output from the last MapReduce job based on calibration factors, and apply the correction to all data.
Suggested answer: A
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asked 18/09/2024
Mithun E
50 questions
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