Google Cloud Digital Leader Practice Exam

Which Google Cloud service is primarily used to perform batch processing tasks and analytics?

1. BigQuery

2. Cloud Storage

3. App Engine

4. Cloud SQL

The correct answer is: BigQuery

BigQuery is the correct choice for performing batch processing tasks and analytics due to its design as a fully managed, serverless data warehouse that allows for large-scale data analysis. It can handle massive datasets and is optimized for read-heavy queries, making it ideal for analyzing large amounts of data efficiently. BigQuery leverages its architecture to execute SQL queries quickly, even on terabytes or petabytes of data, thus enabling users to derive insights and conduct analytics without the need for complex data management or infrastructure overhead. This service supports various analytics operations, including batch processing of data from multiple sources, which is essential for organizations needing to perform comprehensive data analysis regularly. In contrast, the other options serve different purposes. Cloud Storage is designed for storing and retrieving any amount of data at any time, effectively serving as an object storage solution without the built-in analytical capabilities of BigQuery. App Engine is a platform as a service (PaaS) that focuses on developing and hosting web applications, making it less relevant for batch analytics. Cloud SQL is a managed database service for relational databases, which involves real-time data operations rather than batch processing. Thus, BigQuery stands out as the primary service for batch processing tasks and analytics in Google Cloud.