What are some challenges that Firebase addresses? Select the 2 correct answers.

Cloud Dataflow is a tool for developing and executing a wide range of data processing patterns on very large datasets. Which of these examples aligns with what Cloud Dataflow can do?

Process queries written in structured query language (SQL). Perform the transformations in “extract, transform, and load (ETL).” Scale without downtime. Develop apps faster and easier with cloud backend services. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)

What is an example of a time-consuming task required to set up and run a database that organizations can hand off to Google when they choose to use Cloud SQL?

Applying patches and updates. Migrating data between data centers. Developing apps. Managing contractors. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)

Considering where it fits in the GCP, Cloud Datastore is good for:

Highly structured databases or transactional databases. Organizations with non-relational data that want to reduce their operations burden with an enterprise-grade database. Relational database management at scale that requires high availability and HTAP. Flat data and databases with lots of read-write actions. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)