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Google Professional-Cloud-Database-Engineer Exam Course, Free Professional-Cloud-Database-Engineer Braindumps

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To earn the Professional-Cloud-Database-Engineer certification, candidates must pass a rigorous exam that assesses their knowledge and skills in various areas, including database design and implementation, data migration, backup and recovery, performance optimization, and security. Professional-Cloud-Database-Engineer exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete it. The passing score for the exam is 70%.

To pass the Professional-Cloud-Database-Engineer Exam, candidates must demonstrate a deep understanding of GCP's database services, such as Cloud SQL, Cloud Spanner, and Cloud Bigtable. They must also have experience working with SQL, NoSQL, and other database technologies.

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Google Professional-Cloud-Database-Engineer Certification is a valuable certification for database engineers and administrators who work with the Google Cloud Platform. It demonstrates a high level of expertise and knowledge in database management on the cloud, which is becoming increasingly important in today's digital landscape. Candidates can prepare for the exam by studying database management principles and gaining hands-on experience with database administration on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q141-Q146):

NEW QUESTION # 141
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. 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.
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. 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.

Answer: D

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 # 142
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.databaseReader
B. roles/spanner.backupWriter
C. roles/spanner.databaseUser
D. roles/spanner.viewer

Answer: A

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

NEW QUESTION # 143
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. The application 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. Add more nodes to the Bigtable cluster.
B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Isolate the data analysts and operations user groups to use different Bigtable instances.
D. Use Key Visualizer for Bigtable.

Answer: D

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

NEW QUESTION # 144
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 SQL
B. Cloud Spanner
C. BigQuery
D. Bigtable

Answer: C

NEW QUESTION # 145
You are designing a database strategy for a new web application in one region. You need to minimize write latency. What should you do?

A. Use Cloud Spanner in a regional configuration.
B. Use zonal Cloud SQL without high availability (HA).
C. Use high availability (HA) Cloud SQL with multiple zones.
D. Use Cloud SQL with cross-region replicas.

Answer: D

NEW QUESTION # 146
......

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Alan Young Alan Young

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