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To pass the certification exam, candidates must demonstrate their ability to design, implement, and manage databases on the Google Cloud Platform. They must also show proficiency in monitoring, troubleshooting, and optimizing database performance. Professional-Cloud-Database-Engineer Exam covers a range of topics, including database migration, data modeling, backup and recovery, and security. Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed to help employers identify qualified professionals who have the expertise needed to develop and maintain efficient, scalable, and secure databases on the Google Cloud Platform.

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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 (Q29-Q34):

NEW QUESTION # 29
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

A. Use Bigtable.
B. Use Cloud SQL for MySQL
C. Use Cloud Spanner.
D. Use Firestore.

Answer: C

NEW QUESTION # 30
Your company uses Cloud Spanner for a mission-critical inventory management system that is globally available. You recently loaded stock keeping unit (SKU) and product catalog data from a company acquisition and observed hot-spots in the Cloud Spanner database. You want to follow Google-recommended schema design practices to avoid performance degradation. What should you do? (Choose two.)

A. Normalize the data model.
B. Use bit-reverse sequential value as the primary key.
C. Promote low-cardinality attributes in multi-attribute primary keys.
D. Use an auto-incrementing value as the primary key.
E. Promote high-cardinality attributes in multi-attribute primary keys.

Answer: D,E

NEW QUESTION # 31
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud.
You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

A. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance.
B. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
C. Create migration job using Database Migration Service.
Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance.
D. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
Update your application connections to the new instance.

Answer: C

Explanation:
https://cloud.google.com/datastream/docs/overview.

NEW QUESTION # 32
You have a single global application that uses clickstream data stored in a Bigtable instance. The application's users are spread across North America, Asia, and Europe. You want to reduce user latency, while keeping costs to a minimum.
What should you do?

A. Create one instance of Bigtable with three clusters in a region in North America, Asia, and Europe. Set up three app profiles, one for each region with single-cluster routing.
B. Create three instances of Bigtable, each one in a region in North America, Asia, and Europe. Set up three app profiles, one for each region with single-cluster routing.
C. Create one instance of Bigtable with three clusters in one central region across three zones. Set up a single app profile with multi-cluster routing.
D. Create one instance of Bigtable with three clusters in a region in North America, Asia, and Europe. Set up a single app profile with multi-cluster routing.

Answer: A

Explanation:
A single Bigtable instance with clusters in North America, Europe, and Asia provides global data replication, while using regional app profiles with single-cluster routing directs users to the nearest cluster, minimizing latency and avoiding the higher cost and cross-region traffic overhead of multi-cluster routing.

NEW QUESTION # 33
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. Update a MySQL database flag to increase the number of vCPUs.
B. Issue a gcloud compute instances update command to increase the number of vCPUs.
C. Issue a gcloud sql instances patch command to increase the number of vCPUs.
D. Back up the database, create an instance with additional vCPUs, and restore the database.

Answer: C

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

NEW QUESTION # 34
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