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To prepare for the exam, candidates can take advantage of various resources provided by Google Cloud, such as online courses, documentation, and practice exams. They can also attend instructor-led training or join study groups to learn from other professionals.

Google Professional-Cloud-Database-Engineer certification is a certification exam offered by Google Cloud that focuses on database management and engineering. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who are responsible for managing and designing enterprise database systems on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam measures the candidate's ability to design, build, and manage scalable and reliable databases on the Google Cloud Platform.

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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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q12-Q17):

NEW QUESTION # 12
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

A. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
B. Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re-enable replication and optimize performance by setting flags on the primary instance.
C. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
D. Create additional read replicas, and partition your analytics users to use different read replicas.
E. Create secondary indexes on the replica.

Answer: A,D

NEW QUESTION # 13
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

A. For each application code, set up a dedicated user account.
B. For the application server, set up a service account.
C. For each application code, set up a common shared user account.
D. For the application server, set up a common shared user account.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

NEW QUESTION # 14
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Bigtable
B. Use BigQuery.
C. Use Cloud Spanner.
D. Use Firestore.

Answer: B

NEW QUESTION # 15
You host an application in Google Cloud. The application is located in a single region and uses Cloud SQL for transactional dat a. Most of your users are located in the same time zone and expect the application to be available 7 days a week, from 6 AM to 10 PM. You want to ensure regular maintenance updates to your Cloud SQL instance without creating downtime for your users. What should you do?

A. Enable maintenance notifications for users, and reschedule maintenance activities to a specific time after notifications have been sent.
B. Create your database with one primary node and one read replica in the region.
C. Configure your Cloud SQL instance with high availability enabled.
D. Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.

Answer: D

Explanation:
Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.

NEW QUESTION # 16
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?

A. Use Cloud Spanner instead of Cloud SQL.
B. Use many smaller Cloud SQL instances.
C. Increase the storage size for the instance.
D. Increase the number of CPUs for your instance.

Answer: A

NEW QUESTION # 17
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