You Architect a System to Analyze Seismic Data

question 86

Multiple Choice

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?

• 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.
• 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.

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Definitions:

Linear Regression Equation

An equation used to predict a dependent variable based on one or more independent variables, representing the line of best fit.

Y-Intercept

The point at which a line crosses the y-axis on a graph.

X-Intercept

The point at which a line or curve on a graph crosses the x-axis, indicating a value of x where the function equals zero.

Slope

The slope refers to the steepness or incline of a line on a graph, representing the rate of change between variables.