Google Cloud Service for Extracting Lightweight Data | CDL Exam

Google Cloud Service for Extracting Lightweight Data

Question

Your team is building a data processing application to transform lightweight data on arrival and storing post-transformation data as structured data.

Google Cloud sources are expected to trigger the transformations. Which google cloud service would you use for performing the required extraction of lightweight data?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: A.

Option A is Correct.

Cloud run is the correct choice for performing the required extraction.

Diagram credit: https://cloud.google.com/run#section-10

Option B is Incorrect.

Bigquery is incorrect because bigquery is an agile multi-cloud data warehouse.

Option C is Incorrect.

CloudTransform is an invalid option.

Option D is Incorrect.

BigTransform is an invalid option.

“Data processing: Lightweight data transformation” https://cloud.google.com/run.

The Google Cloud service that should be used to perform the required extraction of lightweight data is Cloud Run. Cloud Run is a fully managed compute platform that enables developers to run stateless containers that are triggered by events, such as HTTP requests or messages on a Pub/Sub topic. Cloud Run allows the developer to deploy containerized applications to any cloud provider, with no server or cluster management required.

In this case, Cloud Run can be used to trigger the transformation of lightweight data when it arrives in Google Cloud. A containerized application can be built to extract and transform the data using the appropriate programming language or framework, and then store the post-transformation data in a structured format, such as BigQuery. Cloud Run can be set up to listen to events from Google Cloud sources, such as Pub/Sub topics or Cloud Storage buckets, and then trigger the appropriate container to run the transformation.

BigQuery is a fully managed, serverless data warehouse that can be used to store and analyze structured data. While BigQuery can be used to store the post-transformation data, it is not the appropriate service to extract and transform the lightweight data on arrival.

Cloud Transform and BigTransform are not valid Google Cloud services.