- availability of SDKs and consoles
- cost configurability
- future proofing
- elastic scaling with zero downtime
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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)
Which of the following describes Cloud Firestore’s business value?
Cloud Firestore provides daily results for queries to show the changing data. Cloud Firestore provides multi-document ACID transactions for SQL databases. Cloud Firestore helps you schedule downtime for upgrades, resizing, or configuration changes. Cloud Firestore takes care of scalability and operations for running document-oriented databases. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)
Which product included in Google Cloud networking serves content to end users with high availability and high performance?
Cloud DNS Virtual Private Cloud Cloud CDN Cloud Interconnect Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)