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How does Cloud SQL address the challenge of compatibility?

How does Cloud SQL address the challenge of compatibility?

Question: How does Cloud SQL address the challenge of compatibility?

  • Cloud SQL builds on performance innovations in Compute Engine and persistent disk.
  • It's easy to control with less infrastructure for you to manage and operate.
  • If an organization’s app works with MySQL or PostgreSQL, it will work with Cloud SQL.
  • You don't need to reserve Cloud SQL instances ahead of time to get savings, and you pay by the minute, not by the hour.

Explanation

Cloud SQL is compatible with familiar open source database engines such as MySQL and PostgreSQL. This reduces migration friction because existing applications can use supported relational database engines without major redesign. It provides a managed database environment while preserving common SQL database behavior. The compatibility value is especially important when organizations want cloud database benefits without changing application architecture.

Why the other options are incorrect

Compute Engine and persistent disk relates to underlying performance foundations, not database compatibility.

Less infrastructure management describes operational simplicity, not compatibility.

Pay-by-minute pricing describes cost management, not application or database engine compatibility.

Source for verification

https://cloud.google.com/sql/docs/introduction

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Cloud Platform Business Professional" page.

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