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The Google Cloud Certified - Professional Cloud Database Engineer certification exam is suitable for professionals who work as database administrators, database developers, data architects, and cloud engineers. Professional-Cloud-Database-Engineer exam is also ideal for individuals who want to demonstrate their proficiency in designing and managing database solutions on Google Cloud Platform. Professional-Cloud-Database-Engineer Exam is available online and can be taken from anywhere in the world, making it a convenient option for busy professionals.

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To be eligible for the Google Professional-Cloud-Database-Engineer certification exam, you must have at least three years of experience in managing databases on a cloud platform, including one year of experience in designing and implementing databases on Google Cloud. You should also have a good understanding of database concepts and technologies, such as SQL, NoSQL, and database management systems. Additionally, you should have hands-on experience with Google Cloud Platform services related to databases, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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 (Q106-Q111):

NEW QUESTION # 106
Your company wants to migrate its MySQL, PostgreSQL, and Microsoft SQL Server on-premises databases to Google Cloud. You need a solution that provides near-zero downtime, requires no application changes, and supports change data capture (CDC). What should you do?

A. Create a database on Google Cloud, and use Dataflow for database migration.
B. Use Database Migration Service.
C. Use the native export and import functionality of the source database.
D. Create a database on Google Cloud, and use database links to perform the migration.

Answer: B

Explanation:
Simplify migrations to the cloud. Available now for MySQL and PostgreSQL, with SQL Server and Oracle migrations in preview.
* Migrate to Cloud SQL and AlloyDB for PostgreSQL from on-premises, Google Cloud, or other clouds
* Replicate data continuously for minimal downtime migrations
* Serverless and easy to set up

NEW QUESTION # 107
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

A. Automate instance creation by writing a Dataflow job.
B. Create the instances using the Google Cloud Console UI.
C. Create clones from a template Cloud SQL instance.
D. Automate instance creation by setting up Terraform scripts.

Answer: B

NEW QUESTION # 108
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

A. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone australia-southeast1-a
cluster-c in zone europe-west1-d
cluster-d in zone asia-east1-b
B. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central1-b
cluster-c in zone us-east1-a
C. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone europe-west1-d
cluster-c in zone asia-east1-b
D. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central2-a
cluster-c in zone asia-northeast1-b
cluster-d in zone asia-east1-b

Answer: D

NEW QUESTION # 109
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?

A. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
D. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.

Answer: C

Explanation:
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region

NEW QUESTION # 110
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

A. Use log messages produced by Cloud SQL.
B. Use Query Insights for Cloud SQL.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use Cloud SQL instance monitoring in the Google Cloud Console.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction

NEW QUESTION # 111
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