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The Google Cloud Certified - Professional Cloud Database Engineer certification exam is part of the Google Cloud Certified program, which is a professional certification program that recognizes individuals who have demonstrated the skills and knowledge required to work with Google Cloud technology. The program is designed to help individuals advance their careers by providing them with the skills and knowledge they need to succeed in today's fast-paced and dynamic business environment.

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Professional-Cloud-Database-Engineer certification can demonstrate your mastery of certain areas of knowledge, which is internationally recognized and accepted by the general public as a certification. Professional-Cloud-Database-Engineercertification is so high that it is not easy to obtain it. It requires you to invest time and energy. If you are not sure whether you can strictly request yourself, our Professional-Cloud-Database-Engineer test materials can help you. With high pass rate of our Professional-Cloud-Database-Engineer exam questons as more than 98%, you will find that the Professional-Cloud-Database-Engineer exam is easy to pass.

Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed to evaluate the candidate's proficiency in working with the Google Cloud Platform, which is a highly scalable and reliable cloud infrastructure. Professional-Cloud-Database-Engineer exam consists of multiple-choice and multiple-select questions that test the candidate's understanding of cloud-native database services, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable, and how to design, implement, and manage them. Professional-Cloud-Database-Engineer Exam also evaluates the candidate's ability to automate database operations and ensure security and compliance.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q185-Q190):

NEW QUESTION # 185
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 the Cloud Monitoring dashboard with available metrics from Cloud SQL.
C. Use Cloud SQL instance monitoring in the Google Cloud Console.
D. Use Query Insights for Cloud SQL.

Answer: B

NEW QUESTION # 186
You have a large Cloud SQL for PostgreSQL instance. The database instance is not mission-critical, and you want to minimize operational costs. What should you do to lower the cost of backups in this environment?

A. Select a different region to store your backups.
B. Change the storage tier of the automated backups from solid-state drive (SSD) to hard disk drive (HDD).
C. Set the automated backups to occur every other day to lower the frequency of backups.
D. Reduce the number of automated backups that are retained to two (2).

Answer: C

NEW QUESTION # 187
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?

A. Setup a static external IP address in your VPC network.
B. Set up a Cloud NAT gateway on the Compute Engine VM.
C. Set up Cloud NAT service.
D. Set up bring your own IP (BYOIP) in your VPC.

Answer: B

NEW QUESTION # 188
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 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.
B. 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.
C. 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.
D. 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.

Answer: D

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

NEW QUESTION # 189
You run a 24x7 online travel agency using Spanner. Your company provides services to book hotels, flights, and local attractions which are fulfilled by your partners. You need to enable your partners to access their respective booking data for reconciliation and analysis in real time. You need a solution that provides your partners secure access, the ability to run ad hoc SQL read queries with minimal to no disruption to your existing reservation platform. You want to keep costs to a minimum.
What should you do?

A. Create a view for each partner by using federated queries in BigQuery, and grant each partner IAM access on their view.
B. Use a change stream to replicate data into BigQuery for ad hoc reporting needs.
C. Batch export each partner's data as a CSV file into separate Cloud Storage buckets.
D. Create a view on Spanner for each partner, and grant each partner IAM access on their view.

Answer: D

Explanation:
Creating partner-specific views directly in Spanner and granting IAM access to those views provides secure, real-time, read-only SQL access with no impact on the operational workload, no data duplication, and minimal cost, while supporting ad hoc queries without disrupting the reservation platform.

NEW QUESTION # 190
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