Google Firebase Interview Questions and Answers for 5 years experience
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What is Firebase and what are its core services?
- Answer: Firebase is a comprehensive platform by Google for building mobile and web applications. Its core services include Realtime Database, Cloud Firestore, Cloud Functions, Authentication, Cloud Storage, Hosting, Cloud Messaging, and more. It offers a backend-as-a-service (BaaS) solution, simplifying development and deployment.
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Explain the difference between Realtime Database and Cloud Firestore.
- Answer: Both are NoSQL databases, but they differ significantly. Realtime Database uses a single, centralized JSON tree structure, offering real-time synchronization. Cloud Firestore offers a more scalable, flexible schema with collections and documents, allowing for strong consistency and offline capabilities. Firestore also provides better query capabilities and scalability for larger applications.
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How does Firebase Authentication work? Describe different authentication methods.
- Answer: Firebase Authentication provides a secure way to integrate user authentication into your app. It supports various methods: email/password, phone number authentication, federated identity providers (Google, Facebook, Twitter, etc.), anonymous authentication, and custom authentication. It handles user management, password resets, and security rules effectively.
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Explain the concept of Security Rules in Firebase Realtime Database and Firestore.
- Answer: Security Rules define the access control for your database. They are written in a custom language and determine which users (or clients) can read, write, or modify data based on user authentication and data structure. Properly configured security rules are crucial for securing your application data.
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How do you handle offline data persistence in Firebase?
- Answer: Cloud Firestore offers built-in offline persistence. When enabled, it caches data locally, allowing your app to continue functioning even without network connectivity. Changes are synchronized when the connection is restored. Realtime Database has less robust offline capabilities, relying more on client-side caching mechanisms.
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What are Cloud Functions for Firebase? Give an example of their use.
- Answer: Cloud Functions are serverless functions that run in response to events triggered by Firebase features (e.g., database changes, authentication events). An example would be sending an email notification when a new user signs up or updating a counter in the database when a new document is added.
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Describe Firebase Cloud Storage. What are its use cases?
- Answer: Firebase Cloud Storage is an object storage service for storing user-generated content like images, videos, and audio files. Use cases include storing profile pictures, uploaded documents, and multimedia content for your app.
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How does Firebase Cloud Messaging (FCM) work?
- Answer: FCM is a cross-platform messaging solution for sending notifications and messages to clients. It uses a client-server architecture; the server sends messages to the FCM servers, which then deliver them to the client devices. It supports topics, device groups, and individual targeting.
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Explain Firebase Hosting. What are its advantages?
- Answer: Firebase Hosting provides a fast and reliable way to deploy and serve your web app. Its advantages include global CDN distribution for fast loading, SSL certificates for security, and easy integration with other Firebase services. It simplifies the deployment process significantly.
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How would you implement user authentication with Firebase in a React Native application?
- Answer: You would use the Firebase SDK for React Native. This involves initializing Firebase, configuring authentication methods (e.g., email/password, Google sign-in), handling sign-up/sign-in flows, and securely storing user data (possibly with a combination of Firebase Authentication and Firestore or Realtime Database).
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[Question 11] How would you optimize query performance in a large Firestore database?
- Answer: Optimization involves using appropriate indexes, carefully designing your data model to minimize reads and writes, employing pagination for large result sets, and using efficient query techniques like limiting the number of fields retrieved in each document.
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