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The Google Professional-Cloud-Database-Engineer Exam measures an individual's knowledge and skills in various areas, including database design, development, management, monitoring, and optimization. It also tests one's ability to use Google Cloud Platform services such as Cloud SQL, Cloud Spanner, Cloud Bigtable, and Cloud Datastore to build and manage cloud-based databases.

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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.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q190-Q195):

NEW QUESTION # 190
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

Answer: D

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present.
Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy.
https://cloud.google.com/sql/docs/postgres/connect-connectors


NEW QUESTION # 191
Your application follows a microservices architecture and uses a single large Cloud SQL instance, which is starting to have performance issues as your application grows. in the Cloud Monitoring dashboard, the CPU utilization looks normal You want to follow Google-recommended practices to resolve and prevent these performance issues while avoiding any major refactoring.
What should you do?

Answer: C


NEW QUESTION # 192
Riverton Analytics runs Microsoft SQL Server on premises with two read-only replicas, and the nightly differential backups for 28 databases have become expensive and difficult to manage.
They plan to move to Google Cloud following recommended practices and they must keep the cutover window under 20 minutes with minimal disruption. What should you do?

Answer: A

Explanation:
This uses transactional replication to keep the managed Cloud SQL instance nearly in sync before the switch so you can meet the under 20 minute cutover and minimize disruption.
With this approach you seed the data and then stream changes continuously so the target stays current. When you are ready to migrate you stop writes on the source if needed, allow the subscriber to catch up, switch the application connection string, and complete the cutover with only a brief outage. This aligns with recommended practices because it leverages a managed service, reduces operational overhead, and avoids the complexity and cost of frequent differential backups across many databases.


NEW QUESTION # 193
Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/diagnose-issues#:~:text=If%20your%20instance%20stops%20responding%20to%20connections%20or%20performance%20is%20degraded%2C%20make%20sure%20it%20conforms%20to%20the%20Operational%20Guidelines


NEW QUESTION # 194
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?

Answer: C


NEW QUESTION # 195
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