You log a custom event in Firebase Analytics but omit a parameter marked as required in your app's event schema. What is the expected behavior?
firebase.analytics().logEvent('purchase', {item_id: '12345'}); // missing 'value' parameter
Think about how Firebase Analytics handles optional and required parameters in custom events.
Firebase Analytics logs custom events even if some parameters are missing. Missing parameters are recorded as null or simply omitted, but the event itself is still logged.
To track custom events in a Firebase app, which configuration step is mandatory?
Consider what Firebase requires to collect and process analytics data.
Google Analytics must be enabled in the Firebase project to collect and view custom event data. Other options are unrelated to basic custom event tracking.
You want your Firebase app to perform actions immediately after a custom event is logged. Which architecture best supports this?
Think about which Firebase services support real-time triggers on data changes.
Firebase Analytics events cannot directly trigger Cloud Functions. Logging events to Firestore allows Cloud Functions to react immediately to data changes via Firestore triggers.
To prevent malicious users from sending fake custom events to Firebase Analytics, what security measure should you implement?
Consider Firebase's built-in tools to verify app integrity.
Firebase App Check helps ensure that only requests from your genuine app instances are accepted, reducing fake event submissions.
To maximize the usefulness and clarity of custom events in Firebase Analytics, which naming and parameter strategy is best?
Think about Firebase Analytics documentation recommendations for event design.
Firebase recommends using predefined event names when possible and using clear, typed parameters to improve analysis and reporting.