Google Cloud Professional Data Engineer PDE — Topic 1 Question 124

Question

You are designing a cloud-native historical data processing system to meet the following conditions: • The data being analyzed is in CSV, Avro, and PDF formats and will be accessed by multiple analysis tools including Dataproc, BigQuery, and Compute Engine. • A batch pipeline moves daily data. • Performance is not a factor in the solution. • The solution design should maximize availability. How should you design data storage for this solution?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Store the data in a multi-regional Cloud Storage bucket. Access the data directly using Dataproc, BigQuery, and Compute Engine. Compute Engine provides configurable virtual machines when you need full control of the OS. Cloud Storage provides durable, scalable object storage that is fully managed. BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage.

Google Cloud Professional Data Engineer PDE — Question 124