Google Cloud Professional Cloud Architect PCA — Topic 8 Question 305

Question

TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location, its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US, Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the job Dataproc runs managed Spark and Hadoop clusters for big-data processing. This option delivers the requirement at the lowest cost.

Google Cloud Professional Cloud Architect PCA — Question 305