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Network latency refers to the delay that occurs in data transmission over a network, which can affect the response time of an application for users who are geographically distant from the server hosting the application. In this case, customers in Asia experience slow response times because the application is hosted in Europe, causing a higher latency due to the physical distance between the user and the server.

Option B: Network latency is correct because it addresses the primary issue of increased delay due to geographical distance.

References:

Google Cloud Networking: Understanding Network Latency and Performance

Google Cloud: Global Load Balancing Solutions to Reduce Latency

Relational databases are ideal for storing transactional data that follows a consistent schema and requires cross-referencing (e.g., customer records and purchase history). They provide ACID (Atomicity, Consistency, Isolation, Durability) compliance, which is essential for reliable transaction processing.

Option C: Relational database is correct because it is specifically designed for structured data with a consistent schema and supports complex queries and cross-referencing of data, which is essential for transactional systems.

References:

Google Cloud: Cloud SQL and Cloud Spanner (Relational Database Services)

Google Cloud Database Solutions: Selecting the Right Database

One of the key principles of DevOps is to release changes frequently and in small batches. This helps to reduce the risk of disruption caused by bugs. If a bug is introduced in a small change, it is easier to identify and fix the bug without affecting a large number of users.