Performing Lightweight Data Extraction on Google Cloud
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.
Based on the requirements mentioned in the question, we need to select a Google Cloud service that can perform data extraction and transformation from lightweight data sources, triggered by Google Cloud sources.
Out of the four options provided, only two - BigQuery and Cloud Transform - are related to data processing and transformation, while the other two - Cloud Run and BigTransform - are not specific to data processing.
Cloud Run is a managed compute platform that enables the deployment of stateless containers to run HTTP/HTTPS workloads. It can be used to build and deploy containerized applications, but it does not offer any data processing or transformation capabilities.
BigQuery is a fully-managed, highly-scalable, and serverless data warehouse that allows users to analyze large and complex datasets using SQL-like queries. It can be used to ingest, transform, and store structured data, but it is not designed for extracting lightweight data.
Cloud Transform is a data processing service that can be used to transform large amounts of data, including unstructured and semi-structured data, into structured data. It offers a serverless and scalable architecture for building ETL pipelines that can be triggered by various data sources, including Google Cloud sources.
BigTransform is not a valid Google Cloud service, so it is not a suitable option for performing the required data extraction.
Therefore, the correct answer for this question is option C - Cloud Transform.
