GCP - Cloud Firestore and BigtableWhy does Firestore on GCP use eventual consistency for some queries instead of strong consistency?ABecause Firestore does not support consistencyBTo improve performance and scalability across distributed regionsCTo prevent any data loss at all costsDBecause strong consistency is always slower locallyCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand consistency models in distributed databasesStrong consistency ensures all reads see latest writes but can slow down distributed systems.Step 2: Recognize Firestore's use of eventual consistencyFirestore uses eventual consistency in some cases to improve performance and scale globally.Final Answer:To improve performance and scalability across distributed regions -> Option BQuick Check:Eventual consistency boosts global performance [OK]Quick Trick: Eventual consistency helps scale globally faster [OK]Common Mistakes:Thinking Firestore lacks consistencyAssuming strong consistency is always betterConfusing consistency with data loss prevention
Master "Cloud Firestore and Bigtable" in GCP9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More GCP Quizzes Cloud Firestore and Bigtable - Firestore queries and indexes - Quiz 6medium Cloud Firestore and Bigtable - Real-time updates with listeners - Quiz 4medium Cloud Functions - Concurrency and scaling - Quiz 14medium Cloud Functions - Cloud Functions pricing - Quiz 12easy Cloud Load Balancing - HTTP(S) Load Balancer (Layer 7) - Quiz 8hard Cloud Load Balancing - URL maps for routing - Quiz 11easy Cloud Monitoring and Logging - Metrics and dashboards - Quiz 2easy Cloud Pub/Sub - Publishing messages - Quiz 9hard Cloud Run - Cloud Run jobs for batch work - Quiz 11easy Cloud SQL and Databases - Cloud Spanner for global distribution - Quiz 4medium