Question: What aspect of Cloud Datastore allows organizations to worry less about making changes to their underlying data structure as their application evolves?
- The object-oriented database with containerized applications.
- The schemaless document-oriented database with ACID transactions.
- The relational database with configuration and downtime.
- The warehouse database with a proven production system.
Explanation
Cloud Datastore uses a schemaless document data model, so entities do not need the same fixed set of properties. This helps applications evolve without requiring rigid table changes for every data model update. Its NoSQL structure supports flexible application data while remaining managed by Google Cloud. ACID transactions provide transactional reliability for supported operations without changing the flexible data model.
Why the other options are incorrect
Object-oriented database is not the Google Cloud positioning for Cloud Datastore.
Relational database requires structured schemas and is better aligned with Cloud SQL or Cloud Spanner.
Warehouse database describes analytics storage such as BigQuery, not application data in Cloud Datastore.
Source for verification
https://cloud.google.com/datastore/docs/concepts/overview
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