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Google Professional-Cloud-Database-Engineer Valid Exam Guide | Professional-Cloud-Database-Engineer Valid Study Notes

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Google Professional-Cloud-Database-Engineer exam is a certification program designed for professionals who want to demonstrate their expertise in designing, developing and managing cloud-based database solutions. Google Cloud Certified - Professional Cloud Database Engineer certification is offered by Google Cloud and is part of its Google Cloud Certified program. Professional-Cloud-Database-Engineer Exam is intended for database administrators, database developers, and other IT professionals with experience in cloud-based database management.

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Google Professional-Cloud-Database-Engineer exam is designed to test the knowledge and skills of individuals who want to pursue a career as a database engineer in the Google Cloud environment. Google Cloud Certified - Professional Cloud Database Engineer certification validates the abilities of professionals to design, develop, and manage databases on Google Cloud Platform. Professional-Cloud-Database-Engineer Exam covers a wide range of topics, including data modeling, database design, performance optimization, security, and data backup and recovery. Passing the exam demonstrates that a candidate has the necessary skills to work with Google Cloud databases and can provide valuable contributions to an organization's database infrastructure.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q131-Q136):

NEW QUESTION # 131
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 the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.
B. Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.
C. Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.
D. Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.

Answer: C

Explanation:
Verify that the replica has processed all the transactions it has received from the primary. This ensures that when promoted, the replica reflects all transactions that were received before the primary became unavailable. https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#verify_failover_criteria

NEW QUESTION # 132
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

A. Watch Cloud Trace for application requests that are failing.
B. Watch the Cloud SQL recommenders for overprovisioned instances.
C. Watch Query Insights for long running queries.
D. Watch the Cloud SQL instance monitor for CPU utilization metrics.

Answer: C

Explanation:
Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too largefor their workload. Eliminate C.
Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers- practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library

NEW QUESTION # 133
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Restore the Cloud SQL instance from the automatic backups in region 3.
B. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
C. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance.
Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
D. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 134
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
B. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.
C. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.
D. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configurehttps://cloud.google.com/sql/docs/mysql
/connect-run#connection-pools

NEW QUESTION # 135
Your company is migrating their MySQL database to Cloud SQL and cannot afford any planned downtime during the month of December. The company is also concerned with cost, so you need the most cost-effective solution. What should you do?

A. Open a support ticket in Google Cloud to prevent any maintenance in that MySQL instance during the month of December.
B. Use Cloud SQL maintenance settings to prevent any maintenance during the month of December.
C. Create a MySQL regional instance so that, if any downtime occurs, the standby instance will act as the primary instance during the month of December.
D. Create MySQL read replicas in different zones so that, if any downtime occurs, the read replicas will act as the primary instance during the month of December.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/maintenance?hl=fr

NEW QUESTION # 136
......

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