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To become a Google Professional-Cloud-Database-Engineer, candidates must have a deep understanding of database management systems, including relational databases, NoSQL databases, and data warehousing solutions. They must also have experience in designing and implementing scalable and resilient database architectures using GCP's database services such as Cloud SQL, Cloud Spanner, and Bigtable. Additionally, candidates must have a good understanding of SQL and programming languages such as Java or Python.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q34-Q39):NEW QUESTION # 34
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?
- A. Use sharded Cloud SQL instances with one or more stores per database instance.
- B. Use a Biglable cluster with autoscaling.
- C. Use Cloud Spanner with a custom autoscaling solution.
- D. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
Answer: A
NEW QUESTION # 35
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?
- A. Write a utility to scan application logs.
- B. Shut down and restart each application.
- C. Use query tags to add application-centric database monitoring.
- D. Write a utility to scan database query logs.
Answer: C
Explanation:
https://cloud.google.com/sql/doc ... ilter_by_query_tags
NEW QUESTION # 36
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?
- A. Rerun terraform apply.
- B. Create a read replica.
- C. Use point-in-time-recovery (PITR) to recover the database.
- D. Set Terraform deletion_protection to true.
Answer: D
Explanation:
. From Google's documentation, "For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/te ... #stateful-resources
NEW QUESTION # 37
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?
- A. Normalize the database to the third normal form.
- B. Manually or automatically increase the storage capacity.
- C. Compress the data using a different compression algorithm.
- D. Create another schema to load older data.
Answer: B
Explanation:
https://cloud.google.com/sql/doc ... age-capacity-2ndgen
NEW QUESTION # 38
You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process dat a. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The application performs completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?
- A. Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.
- B. Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.
- C. Determine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.
- D. Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.
Answer: B
NEW QUESTION # 39
......
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