PCDBE — questions

You are using Memorystore for Redis to cache frequently accessed data and improve your application’s performance. In the event of a complete regional outage, the application will failover to another region. You want to ensure that the Memorystore instance in the new region does not start from an empty cache after failover. What should you do?

Your company is using a multi-region Spanner instance. The instance stores data from an application which does a lot of writes without reading the data. You are noticing a lot of latency regression. You want to reduce latency and improve performance. What should you do?

You are designing a new ecommerce application on Google Cloud. You expect high and bursty write volumes during peak sales periods. You need to configure Spanner to ensure consistent database performance during this sales period. What should you do?

Your application uses a Cloud SQL for MySQL instance. Recently, you have noticed performance degradation during peak hours, leading to slow response times and frustrated users. You suspect that inefficient queries might be contributing to these issues. You want to pinpoint and analyze these problematic queries and pass them to the application team for optimizations. What should you do?

You are migrating your on-premises PostgreSQL database to Spanner. You need to identify a solution for handling existing integer-based table primary keys. You want minimal changes to the applications while also following Google-recommended practices. What should you do?

You have a Cloud SQL for MySQL instance with a table of product information including a column of product descriptions. Your application development team is building a customer facing chatbot and would like to find the product that most closely matches a freeform text description provided by the customer. How should you enable this functionality?

You are migrating an on-premises online transactional process (OLTP) PostgreSQL database to Google Cloud. You want to reduce the administrative overhead on database maintenance activities, such as vacuum and memory tuning. You are also planning to introduce analytic use cases in this database. You need the migration to have minimal schema and application changes. What should you do?

You are developing a Python application that will connect to AlloyDB for PostgreSQL as the backend datastore. Your organization’s security requirements do not allow the use of usernames and passwords for database authentication. How should you develop your application?

Your company is migrating from an on-premises database to a single-region Spanner instance. The current database supports 40,000 reads each second, and 7,000 writes each second, at 1 KB row sizes at peak. You need to determine the most cost-effective size for the Spanner instance to handle the equivalent current workload. What should you do?

Your e-learning platform runs on a Cloud SQL for PostgreSQL instance (16 VCPUs, 60 GB memory and 1TB SSD) serving users in North America. Your analytics team runs complex reporting queries that often consume 80% of CPU resources, causing slow response times for student transactions during peak hours. Current workload includes 8,000 transactions per second with 60% reads and 40% writes. The reporting queries involve JOIN operations across multiple large tables with millions of rows requiring highly efficient analytical processing. The platform also experiences sudden spikes in analytical reporting demand, requiring an elastic scaling of read capacity. You need to improve the query performance for your analytics team to run their reports efficiently without impacting transactional users. You also need to plan for future traffic growth. What should you do?