
Firebase and Google Cloud Quiz

Quiz
•
Information Technology (IT)
•
Professional Development
•
Medium
Ruby Lye
Used 1+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which Google Cloud product allows you to run serverless code in response to Firebase events?
Cloud Storage
Cloud Firestore
Cloud Functions
Cloud Run
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key benefit of using Cloud Firestore with Firebase?
It's a relational database.
It only works with server-side code.
It allows for real-time data synchronization.
It's specifically designed for image storage.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can Google Cloud's GenAI enhance a Firebase app?
By providing serverless infrastructure.
By generating marketing reports.
By offering pre-built UI templates.
By enabling features like personalized content and chatbots.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is Vertex AI in Firebase primarily used for?
Storing user-generated content.
Building and deploying machine learning models.
Managing user authentication.
Running complex backend services.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these is NOT a Google Cloud service that Firebase can integrate with?
Cloud Logging
Google Maps
Cloud Monitoring
Cloud Trace
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you improve data security when using GenAI with Firebase?
By avoiding the use of Cloud Functions.
By implementing proper authentication and authorization.
By only using GenAI for image processing.
By storing all user data in Cloud Storage.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What can you use Firebase Cloud Functions for in conjunction with GenAI?
To create user interfaces.
To trigger GenAI models for serverless processing.
To store large datasets.
To manage user accounts.
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a benefit of using BigQuery ML?
You can create and deploy machine learning models directly within BigQuery.
It requires extensive knowledge of SQL to build models.
It eliminates the need to move data between different platforms for analysis.
BigQuery ML can automate many of the steps in the machine learning workflow.
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