A query is how you retrieve information from a database, so which of these paths demonstrates the journey of a query?

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)

Cloud Storage is good for:

Testing data that’s used to validate data sets. Training data that’s used in machine learning. Tertiary data such as website traffic, clicks, and returning page visitors. Binary data such as images, media serving, and backups. 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)