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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.
To prepare for the exam, Google recommends that you have hands-on experience with the Google Cloud Platform and have completed the Professional Cloud Architect certification. Additionally, you should have experience with database technologies and be familiar with database design and management principles. By passing the Google Professional-Cloud-Database-Engineer Exam, you will join a community of certified professionals who have demonstrated their expertise in managing databases on the Google Cloud Platform.
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Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who want to validate their expertise in designing, developing, and managing cloud-based database solutions using Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud Database Engineer certification is part of the Google Cloud Certified program that offers a range of certifications for IT professionals. Google Cloud Certified - Professional Cloud Database Engineer certification exam evaluates the candidate's skills in cloud database administration, data modeling, security, scalability, and performance optimization.
NEW QUESTION # 48
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?
Answer: B
Explanation:
To read data out of Cloud SQL for SQL Server, you need to use a service account with the roles/cloudsql.viewer role on the Cloud SQL instance. This role grants the service account permission to read data from the instance. Whereas roles/cloudsql.instanceUser will only allow to login to cloud SQL instance. No resource will be allowed to view.
NEW QUESTION # 49
You have a Cloud SQL instance (DB-1) with two cross-region read replicas (DB-2 and DB-3).
During a business continuity test, the primary instance (DB-1) was taken offline and a replica (DB-2) was promoted. The test has concluded and you want to return to the pre-test configuration. What should you do?
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/high-availability#failback
NEW QUESTION # 50
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do?
(Choose two.)
Answer: B,E
Explanation:
https://cloud.google.com/spanner/docs/pitr#ways-to-recover
To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A
To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case - E
https://cloud.google.com/spanner/docs/pitrhttps://cloud.google.com/spanner/docs/backup/restore-backup
NEW QUESTION # 51
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?
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 # 52
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
- Work with transactions and offer strong consistency.
- Work with structured and semi-structured (JSON) data.
- Scale transparently to multiple regions globally as the operation
grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?
Answer: A
NEW QUESTION # 53
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