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Google Professional-Cloud-Database-Engineer certification exam is designed for professionals who specialize in database management on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is ideal for individuals who have experience in designing, developing, and managing cloud-native database solutions. Professional-Cloud-Database-Engineer exam aims to evaluate the candidate's proficiency in database concepts, cloud-native database services, data security, and data migration.

The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates are given two hours to complete it. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data migration, data security, and performance optimization. Candidates who successfully pass the exam earn the Google Cloud Certified - Professional Cloud Database Engineer certification, which is globally recognized as a validation of their expertise in cloud database management.

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To be eligible for the Google Professional-Cloud-Database-Engineer Certification Exam, you must have at least three years of experience in managing databases on a cloud platform, including one year of experience in designing and implementing databases on Google Cloud. You should also have a good understanding of database concepts and technologies, such as SQL, NoSQL, and database management systems. Additionally, you should have hands-on experience with Google Cloud Platform services related to databases, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q77-Q82):

NEW QUESTION # 77
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)

A. Increase the network bandwidth to 2 Gbps, and then perform an offline data migration.
B. Move the physical database servers from on-premises to Google Cloud.
C. Use a change data capture (CDC) migration strategy.
D. Increase the network bandwidth to 10 Gbps, and then perform an offline data migration.
E. Keep the network bandwidth at 1 Gbps, and then perform an offline data migration.

Answer: A,C

NEW QUESTION # 78
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day.
Theapplication team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Isolate the data analysts and operations user groups to use different Bigtable instances.
B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Use Key Visualizer for Bigtable.
D. Add more nodes to the Bigtable cluster.

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 79
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

A. Create a read replica of the instance with SSDs, and perform a failover to the new instance
B. Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.
C. Export the data from the existing instance, and import the data into a new instance with solid- state drives (SSDs).
D. Edit the instance to change the storage type from HDD to SSD.

Answer: C

NEW QUESTION # 80
Your company's mission-critical, globally available application is supported by a Cloud Spanner database. Experienced users of the application have read and write access to the database, but new users are assigned read-only access to the database. You need to assign the appropriate Cloud Spanner Identity and Access Management (IAM) role to new users being onboarded soon. What roles should you set up?

A. roles/spanner.viewer
B. roles/spanner.databaseReader
C. roles/spanner.backupWriter
D. roles/spanner.databaseUser

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/iam?hl=it

NEW QUESTION # 81
You are deploying a Cloud SQL for MySQL database to serve a non-critical application. The database size is 10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read-only traffic from the application during the day. The data locality requirement of this application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do-

A. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.
B. Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
C. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
D. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.

Answer: A

Explanation:
Chosen option is the best approach:
* Single-region data locality: By pointing your automated backups at a region-scoped Cloud- Storage bucket, you ensure all data (including backups) stays in-region.
* RTO ≤-1-day: Automated daily backups let you restore from the most recent snapshot within your 24-hour RTO window.
* Cost minimized: Disabling HA and not spinning up any replicas avoids the extra instance costs.
You pay only for one primary instance plus your small storage charges for ~10-GB of backups.
* Simplicity: Cloud-SQL's built-in automated backups require zero operational overhead beyond the one-time bucket configuration.

NEW QUESTION # 82
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