User properties in Firebase - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ service_behavior

intermediate

How does Firebase Analytics handle user properties?

Firebase Analytics allows setting user properties to segment users. What happens when you set a user property with the same name multiple times?

A The latest value overwrites the previous value for that user property.

B Firebase stores all values as a list for that user property.

C An error is thrown and the property is not updated.

D The first value set is kept and subsequent values are ignored.

💡 Hint

Think about how user properties are used to identify user segments uniquely.

Firebase Analytics stores only the latest value for each user property name per user. Setting the same property again overwrites the previous value.

❓ Configuration

intermediate

Setting a user property in Firebase Analytics SDK

Which of the following code snippets correctly sets a user property named favorite_color to blue using Firebase Analytics in JavaScript?

A firebase.analytics().setUserProperties({favorite_color: 'blue'});

B firebase.analytics().setUserProperty('favorite_color', 'blue');

C firebase.analytics().setUserProperty({favorite_color: 'blue'});

D firebase.analytics().setUserProperties('favorite_color', 'blue');

💡 Hint

Check the method name and parameter types for setting a single user property.

The correct method to set a single user property in Firebase Analytics JavaScript SDK is setUserProperty(name, value). The other options use incorrect method names or parameter formats.

❓ security

advanced

Security considerations for user properties in Firebase Analytics

Which of the following is the best security practice when setting user properties in Firebase Analytics?

A Set user properties with sensitive data like credit card numbers for detailed analytics.

B Store user passwords as user properties for easy access.

C Use user properties to store authentication tokens for session management.

D Avoid including any personally identifiable information (PII) in user properties.

💡 Hint

Think about privacy laws and data protection when handling user data.

Firebase Analytics user properties should never contain PII or sensitive data. This protects user privacy and complies with data protection regulations.

❓ Architecture

advanced

User property limits and impact on Firebase Analytics architecture

Firebase Analytics limits the number of user properties per project. What is the maximum number of user properties you can define per Firebase project, and what happens if you exceed this limit?

A 25 user properties; exceeding this automatically deletes the oldest property.

B 100 user properties; exceeding this causes an error and stops data collection.

C 50 user properties; additional properties are ignored and not recorded.

D Unlimited user properties; Firebase scales automatically without limits.

💡 Hint

Check Firebase Analytics documentation for user property limits.

Firebase Analytics allows up to 25 user properties per app instance, but the documented limit per project is 50 user properties. Exceeding this limit causes additional properties to be ignored and not recorded.

✅ Best Practice

expert

Optimizing user property usage for effective segmentation

You want to segment users by their subscription plan and app usage frequency using Firebase Analytics user properties. Which approach is best to ensure efficient analytics and avoid data loss?

A Use two user properties: one for subscription plan (e.g., 'free', 'premium') and one for usage frequency (e.g., 'daily', 'weekly').

B Combine subscription plan and usage frequency into a single user property with values like 'free_daily', 'premium_weekly'.

C Set subscription plan as a user property and usage frequency as a custom event parameter.

D Use only one user property for subscription plan and ignore usage frequency to stay under limits.

💡 Hint

Consider clarity and flexibility in segmentation when using user properties.

Using separate user properties for subscription plan and usage frequency allows clear, flexible segmentation without combining values, which can complicate analysis.