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Google Cloud Certified - Professional Cloud Database Engineer certification exam is ideal for database administrators, database engineers, and cloud architects who want to demonstrate their expertise in managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is highly regarded in the industry and can help professionals advance their careers and increase their earning potential. By passing this certification exam, professionals can showcase their skills and knowledge of cloud-native database services and design and implement highly available, scalable, and secure databases on Google Cloud.

To qualify for this certification, candidates must have a deep understanding of database concepts and must have hands-on experience with Google Cloud Platform services like Cloud SQL, Cloud Spanner, and Cloud Bigtable. Candidates must also have experience working with SQL and NoSQL databases, and they must be able to design and implement database solutions that meet specific business requirements. Google Cloud Certified - Professional Cloud Database Engineer certification exam consists of multiple-choice questions and practical scenarios that test the candidate's ability to design and implement database solutions on the Google Cloud Platform. Upon passing the exam, candidates will receive the Google Cloud Certified - Professional Cloud Database Engineer certification, which is recognized globally as a mark of excellence in database engineering.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q113-Q118):

NEW QUESTION # 113
You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

A. Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.
B. Use Cloud Composer to execute a select * from table(s) query and export results.
C. Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.
D. Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.

Answer: A

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler

NEW QUESTION # 114
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability.
What should you do?

A. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
B. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
D. Configure the primary, standby, and read replica instances in zone A, all in the same region.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 115
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. 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.
B. Restore the Cloud SQL instance from the automatic backups in region 3.
C. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
D. 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 .

Answer: A

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

NEW QUESTION # 116
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7.
You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

A. Clone the Cloud SQL instance, and then use the mysqldump utlity to export the data.
B. Use Cloud SQL serverless exports.
C. Use the mysqldump utility on the primary database instance to export the backup.
D. Create a read replica, and then use the mysqldump utility to export each table.

Answer: B

Explanation:
https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports

NEW QUESTION # 117
You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

A. Check the cloudsql.googleapis.com/postgres.log instance log.
B. Perform the gcloud sql operations list command.
C. Use Cloud Audit Logs to verify the status.
D. Use the Google Cloud Console.

Answer: C

NEW QUESTION # 118
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Professional-Cloud-Database-Engineer Test Free, Professional-Cloud-Database-Engineer Free Exam

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q113-Q118):

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