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[General] Valid Professional-Cloud-Database-Engineer Test Materials, Professional-Cloud-Da

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【General】 Valid Professional-Cloud-Database-Engineer Test Materials, Professional-Cloud-Da

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Earning the Google Cloud Certified - Professional Cloud Database Engineer certification can benefit professionals in various ways. It can enhance their credibility and marketability in the job market, as it demonstrates their expertise in a critical area of cloud computing. It can also help them advance their career by opening up new job opportunities or leading to higher salaries.
Google Professional-Cloud-Database-Engineer Certification Exam is a rigorous test that requires a deep understanding of Google Cloud Platform's database services. Candidates must have experience with Google Cloud SQL, Cloud Spanner, Cloud Bigtable, and other Google Cloud Platform database services. They should also have a good understanding of database design, data modeling, and database optimization.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q17-Q22):NEW QUESTION # 17
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?
  • A. Create the instances using the Google Cloud Console UI.
  • B. Automate instance creation by writing a Dataflow job.
  • C. Create clones from a template Cloud SQL instance.
  • D. Automate instance creation by setting up Terraform scripts.
Answer: D

NEW QUESTION # 18
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. 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 Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
  • C. Use a Biglable cluster with autoscaling.
  • D. Use sharded Cloud SQL instances with one or more stores per database instance.
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 # 19
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices.
What should you do?
  • A. Shut down and restart each application.
  • B. Write a utility to scan application logs.
  • C. Use query tags to add application-centric database monitoring.
  • D. Write a utility to scan database query logs.
Answer: C
Explanation:
https://cloud.google.com/sql/doc ... ilter_by_query_tags

NEW QUESTION # 20
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?
  • A. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
  • B. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
  • C. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
  • D. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
Answer: D

NEW QUESTION # 21
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 # 22
......
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