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Google Professional-Cloud-Database-Engineer Certification Exam is a globally recognized certification that validates a candidate's expertise in designing, developing, and managing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed for professionals who have experience in database development, management, and administration.

To be eligible to take the Google Professional-Cloud-Database-Engineer certification exam, you must have a minimum of three years of experience in database administration or data management, and at least one year of experience working with Google Cloud Platform. You should also have a strong understanding of SQL and database design principles. Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and performance-based scenarios, and you will have two hours to complete it.

Google Professional-Cloud-Database-Engineer certification exam is recognized globally as a mark of excellence in the field of cloud-based database management. It is an excellent way for professionals to demonstrate their expertise and commitment to their field, and to enhance their credibility with employers and clients. By earning this certification, professionals can position themselves as leaders in their industry and open up new opportunities for career growth and advancement.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q90-Q95):

NEW QUESTION # 90
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?

A. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.
B. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
C. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
D. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.

Answer: A

NEW QUESTION # 91
You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)

A. Ensure that pglogical is installed on the source PostgreSQL database.
B. Drop or disable all users except database administration users.
C. Disable all foreign key constraints on the source PostgreSQL database.
D. Ensure that all PostgreSQL tables have a primary key.
E. Shut down the database before the Data Migration Service task is started.

Answer: A,C

NEW QUESTION # 92
Your organization has a ticketing system that needs an online marketing analytics and reporting application.
You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

A. Cloud Spanner
B. BigQuery
C. Bigtable
D. Cloud SQL

Answer: B

NEW QUESTION # 93
You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?

A. Use the Google Cloud Console or gcloud CLI to manually create a new failover replica from backup.
B. Start the original primary instance and resume replication.
C. Use the Google Cloud Console or gcloud CLI to manually create a new clone database.
D. Verify that the new replica is created automatically.

Answer: A

NEW QUESTION # 94
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?

A. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
B. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.
C. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
D. Use PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.

Answer: D

Explanation:
https://severalnines.com/blog/how-achieve-postgresql-high-availability-pgbouncer/
https://cloud.google.com/blog/products/databases/using-haproxy-to-scale-read-only-workloads-on-cloud-sql-for-postgresql This answer is correct because PgBouncer is a lightweight connection pooler for PostgreSQL that can help you distribute read requests between the Cloud SQL primary and read replica instances1. PgBouncer can also improve performance and scalability by reducing the overhead of creating new connections and reusing existing ones1. You can install PgBouncer on a Compute Engine instance and configure it to connect to the Cloud SQL instances using private IP addresses or the Cloud SQL Auth proxy2.

NEW QUESTION # 95
......

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