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Google Professional-Cloud-Database-Engineer exam is a certification exam offered by Google Cloud that measures an individual's ability to design, develop, and manage Google Cloud database solutions. Professional-Cloud-Database-Engineer exam is intended for individuals who have experience working with databases, data management, and application development in a cloud environment. Professional-Cloud-Database-Engineer Exam Tests the candidate's knowledge of Google Cloud database services, such as Cloud SQL, Cloud Spanner, and Bigtable, along with their ability to design and implement database solutions using these services.

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The Google Professional-Cloud-Database-Engineer exam tests candidates' knowledge in various areas, including database design, data modeling, database security, and database migration. Candidates are also expected to have a deep understanding of the different Google Cloud database services, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable. Professional-Cloud-Database-Engineer Exam assesses candidates' ability to design and implement highly available, scalable, and secure database solutions using Google Cloud.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q206-Q211):

NEW QUESTION # 206
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

A. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
B. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
C. Create one regional Cloud SQL instance with a read replica in another region.
D. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.

Answer: A

Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.

NEW QUESTION # 207
Your organization has a busy transactional Cloud SQL for MySQL instance. Your analytics team needs access to the data so they can build monthly sales reports. You need to provide data access to the analytics team without adversely affecting performance. What should you do?

A. Enable the cloudsql.iam_authentication flag on the primary database instance, and grant read access to required tables to the analytics team.
B. Create a read replica of the database, provide the database IP address, username, and password to the analytics team, and grant read access to required tables to the team.
C. Provide the database IP address, username, and password of the primary database instance to the analytics, team, and grant read access to required tables to the team.
D. Create a read replica of the database, enable the cloudsql.iam_authentication flag on the replica, and grant read access to required tables to the analytics team.

Answer: D

NEW QUESTION # 208
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of data. You are planning a gradual rollout of the system to a few stores each week.
You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

A. Use Cloud Spanner with a custom autoscaling solution.
B. Use sharded Cloud SQL instances with one or more stores per database instance.
C. Use a Biglable cluster with autoscaling.
D. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs
/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud

NEW QUESTION # 209
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. Set up a Cloud NAT gateway on the Compute Engine VM.
B. Setup a static external IP address in your VPC network.
C. Set up bring your own IP (BYOIP) in your VPC.
D. Set up Cloud NAT service.

Answer: A

Explanation:
https://cloud.google.com/bare-metal/docs/bms-setup?hl=en#bms-access-internet-vm-nat The docs specifically says "Setting up a NAT gateway on a Compute Engine VM" is the way to give BMS internet access.

NEW QUESTION # 210
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?

A. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.
B. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in CSV format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
C. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
Schedule downtime to run each Cloud Data Fusion pipeline.
Verify that the migration was successful.
Re-point the applications to the Cloud SQL for MySQL instance.
D. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in compressed format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.

Answer: A

Explanation:
https://cloud.google.com/database-migration/docs/mysql/configure-source-database To migrate the database while preserving transactions and minimizing downtime, you should use Database Migration Service. This service will allow you to migrate the database in a way that is transparent to your users and applications. It will also allow you to test the migration before you make it live, so that you can be sure that everything will work as expected.

NEW QUESTION # 211
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