Google Cloud Professional Data Engineer PDE — Topic 1 Question 58

Question

You architect a system to analyze seismic data. 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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Introduce a new MapReduce job to apply sensor calibration to raw data, and ensure all other MapReduce jobs are chained after this.

Google Cloud Professional Data Engineer PDE — Question 58