Winter Sale Limited Time 60% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: 8w52ceb345

You are designing a real-time system for a ride hailing app that identifies areas with...

Google Professional-Data-Engineer Full Course Access
Google Professional-Data-Engineer View All Questions

You are designing a real-time system for a ride hailing app that identifies areas with high demand for rides to effectively reroute available drivers to meet the demand. The system ingests data from multiple sources to Pub/Sub. processes the data, and stores the results for visualization and analysis in real-time dashboards. The data sources include driver location updates every 5 seconds and app-based booking events from riders. The data processing involves real-time aggregation of supply and demand data for the last 30 seconds, every 2 seconds, and storing the results in a low-latency system for visualization. What should you do?

A.

Group the data by using a tumbling window in a Dataflow pipeline, and write the aggregated data to Memorystore

B.

Group the data by using a hopping window in a Dataflow pipeline, and write the aggregated data to Memorystore

C.

Group the data by using a session window in a Dataflow pipeline, and write the aggregated data to BigQuery.

D.

Group the data by using a hopping window in a Dataflow pipeline, and write the aggregated data to BigQuery.

Professional-Data-Engineer PDF/Engine
  • Printable Format
  • Value of Money
  • 100% Pass Assurance
  • Verified Answers
  • Researched by Industry Experts
  • Based on Real Exams Scenarios
  • 100% Real Questions
buy now Professional-Data-Engineer pdf
Get 60% Discount on All Products, Use Coupon: "8w52ceb345"
Next
You want to automate execution of a multi-step data pipeline running on Google Cloud.
You store historic data in Cloud Storage.
Previous