FREE PDF QUIZ VALID GOOGLE - PROFESSIONAL-CLOUD-DATABASE-ENGINEER RELIABLE STUDY PLAN

Free PDF Quiz Valid Google - Professional-Cloud-Database-Engineer Reliable Study Plan

Free PDF Quiz Valid Google - Professional-Cloud-Database-Engineer Reliable Study Plan

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The PassReview is committed to making the entire Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer) exam preparation journey simple, smart, and successful. To achieve this objective the PassReview is offering the top-rated and updated Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer) exam practice test questions in three different formats. These formats are Google Professional-Cloud-Database-Engineer web-based practice test software, desktop practice test software, and PDF dumps files.

To prepare for the Professional-Cloud-Database-Engineer Certification Exam, candidates should have a solid understanding of database management principles and should be familiar with the Google Cloud Platform. Google offers a range of study materials and resources to help candidates prepare for the exam, including online courses, practice exams, and certification guides. Candidates can also benefit from hands-on experience with database administration on the Google Cloud Platform.

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The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions that are designed to test the candidate's knowledge of various database technologies and their ability to apply that knowledge to real-world scenarios. Professional-Cloud-Database-Engineer exam covers topics such as database design, data modeling, database migration, replication, backup and recovery, performance optimization, and security. Candidates are expected to have a deep understanding of SQL and should be familiar with various database management systems such as MySQL, PostgreSQL, and Oracle.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q38-Q43):

NEW QUESTION # 38
You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?

  • A. Use the Google Cloud Console or gcloud CLI to manually create a new clone database.
  • B. Start the original primary instance and resume replication.
  • C. Verify that the new replica is created automatically.
  • D. Use the Google Cloud Console or gcloud CLI to manually create a new failover replica from backup.

Answer: C

Explanation:
Recovery Process: Once Zone-B becomes available again, Cloud SQL will initiate the recovery process for the impacted read replica. The recovery process involves the following steps: 1. Synchronization: Cloud SQL will compare the data in the recovered read replica with the primary instance in Zone-A. If there is any data divergence due to the unavailability period, Cloud SQL will synchronize the read replica with the primary instance to ensure data consistency. 2. Catch-up Replication: The recovered read replica will start catching up on the changes that occurred on the primary instance during its unavailability. It will apply the necessary updates from the primary instance's binary logs (binlogs) to bring the replica up to date. 3. Resuming Read Traffic: Once the synchronization and catch-up replication processes are complete, the read replica in Zone-B will resume its normal operation. It will be able to serve read traffic and stay updated with subsequent changes from the primary instance.


NEW QUESTION # 39
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

  • A. Maintain a target of 23% CPU utilization by locating:
    cluster-a in zone us-central1-a
    cluster-b in zone europe-west1-d
    cluster-c in zone asia-east1-b
  • B. Maintain a target of 23% CPU utilization by locating:
    cluster-a in zone us-central1-a
    cluster-b in zone us-central1-b
    cluster-c in zone us-east1-a
  • C. Maintain a target of 35% CPU utilization by locating:
    cluster-a in zone us-central1-a
    cluster-b in zone us-central2-a
    cluster-c in zone asia-northeast1-b
    cluster-d in zone asia-east1-b
  • D. Maintain a target of 35% CPU utilization by locating:
    cluster-a in zone us-central1-a
    cluster-b in zone australia-southeast1-a
    cluster-c in zone europe-west1-d
    cluster-d in zone asia-east1-b

Answer: C


NEW QUESTION # 40
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

  • A. Deploy 4 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-central1, us-east1, and us-west1.
  • B. Deploy 2 Cloud SQL instances in the us-central1 region, and create read replicas in us-east1 and us-west1.
  • C. Deploy 2 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-east1 and us-west1.
  • D. Deploy 4 Cloud SQL instances in the us-central1 region, and create read replicas in us-central1, us-east1 and us-west1.

Answer: B


NEW QUESTION # 41
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?

  • A. roles/cloudsql.editor and roles/spanner.admin
  • B. roles/cloudsql.client and roles/spanner.databaseReader
  • C. roles/cloudsql.viewer and roles/spanner.databaseUser
  • D. roles/cloudsql.instanceUser and roles/spanner.databaseUser

Answer: B


NEW QUESTION # 42
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, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
  • B. 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.
  • C. 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.
  • D. 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

Answer: B


NEW QUESTION # 43
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