In Firebase multi-tenancy, which isolation level best ensures that data from one tenant cannot be accessed by another tenant?
Think about physical separation of data and access control.
Using separate Firebase projects for each tenant provides the strongest isolation because each tenant's data and resources are completely separated at the project level.
You want to design a Firestore database for multiple tenants. Which data model allows easy querying of tenant-specific data while minimizing data duplication?
Consider how queries filter data efficiently.
A single collection with a tenant ID field allows filtering by tenant while keeping the structure consistent and avoiding duplication.
Given a Firestore collection 'orders' where each document has a 'tenantId' field, which Firebase security rule correctly restricts read access to documents belonging only to the authenticated tenant?
match /orders/{orderId} {
allow read: if ... ;
}Check how tenant identity is passed in the authentication token.
The tenant ID should be included in the user's auth token and matched against the document's tenantId field to enforce access control.
In a multi-tenant Firebase app using a single project, what happens if a Cloud Function does not check tenant identity before processing a request?
Consider default behavior without explicit tenant checks.
Without explicit tenant checks, the function will process all requests regardless of tenant, risking data leaks.
You manage a Firebase app serving multiple tenants with varying usage patterns. Which multi-tenancy pattern best balances cost efficiency and performance?
Think about managing resources and scaling efficiently.
A single Firebase project with tenant ID filtering and security rules allows sharing resources while isolating data logically, optimizing cost and performance.