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To prepare for the Professional-Cloud-Database-Engineer Exam, candidates should have a solid understanding of database concepts and technologies, as well as experience working with databases on the Google Cloud Platform. They should also be familiar with cloud computing concepts and technologies, such as virtualization, networking, and storage. Candidates can prepare for the exam by taking online courses, attending training sessions, and studying the official exam guide provided by Google.

Google Professional-Cloud-Database-Engineer Certification Exam is a challenging and in-depth exam that requires a deep understanding of foundational database concepts, as well as advanced knowledge of Google Cloud Platform's database services. Candidates who successfully complete the Google Cloud Certified - Professional Cloud Database Engineer exam demonstrate their expertise in designing, implementing, and managing databases on the Google Cloud Platform.

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Google Cloud Certified - Professional Cloud Database Engineer exam is a certification that validates the skills and expertise of professionals in designing, developing, and managing scalable and reliable databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who have a deep understanding of database architecture, data modeling, and data management technologies. Professional-Cloud-Database-Engineer Exam is intended for professionals who have hands-on experience in designing, deploying, and managing databases on Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q46-Q51):

NEW QUESTION # 46
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 all PostgreSQL tables have a primary key.
B. Drop or disable all users except database administration users.
C. Ensure that pglogical is installed on the source PostgreSQL database.
D. Shut down the database before the Data Migration Service task is started.
E. Disable all foreign key constraints on the source PostgreSQL database.

Answer: A,C

Explanation:
https://cloud.google.com/database-migration/docs/postgres/faq

NEW QUESTION # 47
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

A. Back up the database, create an instance with additional vCPUs, and restore the database.
B. Issue a gcloud sql instances patch command to increase the number of vCPUs.
C. Issue a gcloud compute instances update command to increase the number of vCPUs.
D. Update a MySQL database flag to increase the number of vCPUs.

Answer: B

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/patch

NEW QUESTION # 48
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. Set the automated backups to occur every other day to lower the frequency of backups.
B. Change the storage tier of the automated backups from solid-state drive (SSD) to hard disk drive (HDD).
C. Select a different region to store your backups.
D. Reduce the number of automated backups that are retained to two (2).

Answer: A

NEW QUESTION # 49
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

A. Use Memorystore for data storage.
B. Use Cloud SQL for data storage.
C. Use Cloud Spanner for data storage.
D. Use Bigtable for data storage.

Answer: C

Explanation:
google Cloud Spanner is a highly scalable, reliable, and fully managed relational database service that runs on Google's infrastructure. It's designed to handle large amounts of data and provide high availability, even in the face of failures. Spanner can be used to store and manage data for a variety of applications, including e-commerce websites. Spanner is a good choice for this scenario because it can handle high write throughput and provides 99.99% uptime. It's also a good fit for applications that need to be highly available, even in the face of failures.

NEW QUESTION # 50
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?

A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.
B. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.
C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.
D. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.

Answer: C

NEW QUESTION # 51
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q46-Q51):

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