PROFESSIONAL-CLOUD-DATABASE-ENGINEER PASS4SURE STUDY MATERIALS & RELIABLE PROFESSIONAL-CLOUD-DATABASE-ENGINEER TEST PREPARATION

Professional-Cloud-Database-Engineer Pass4sure Study Materials & Reliable Professional-Cloud-Database-Engineer Test Preparation

Professional-Cloud-Database-Engineer Pass4sure Study Materials & Reliable Professional-Cloud-Database-Engineer Test Preparation

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The Google Professional-Cloud-Database-Engineer Exam covers various topics such as database architecture, database design, data modeling, database security, database optimization, and database maintenance. Professional-Cloud-Database-Engineer exam also assesses an individual's ability to design, implement, and manage highly available and scalable database solutions using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

Earning the Google Professional-Cloud-Database-Engineer certification demonstrates your proficiency in designing, deploying, and managing scalable, secure, and highly available database solutions on Google Cloud Platform. It also proves your ability to optimize database performance, ensure data integrity, and implement disaster recovery and business continuity solutions. As a Google Cloud Certified - Professional Cloud Database Engineer, you will be recognized as an expert in the field of cloud-based database solutions and will have a competitive edge in the job market.

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Quiz 2025 Google Professional-Cloud-Database-Engineer: Reliable Google Cloud Certified - Professional Cloud Database Engineer Pass4sure Study Materials

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The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions and is timed at two hours. Candidates must achieve a passing score to earn the certification. Google Cloud Certified - Professional Cloud Database Engineer certification is valid for two years, after which the candidates need to recertify to maintain their certification status.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q28-Q33):

NEW QUESTION # 28
You are managing a small Cloud SQL instance for developers to do testing. The instance is not critical and has a recovery point objective (RPO) of several days. You want to minimize ongoing costs for this instance. What should you do?

  • A. Turn on automated backup, and turn on transaction log retention.
  • B. Take one manual backup per day, and turn off transaction log retention.
  • C. Turn on automated backup, and turn off transaction log retention.
  • D. Take no backups, and turn off transaction log retention.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/backup-recovery/backups


NEW QUESTION # 29
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

  • A. Normalize the database to the third normal form.
  • B. Manually or automatically increase the storage capacity.
  • C. Compress the data using a different compression algorithm.
  • D. Create another schema to load older data.

Answer: C


NEW QUESTION # 30
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 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.
  • B. 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.
  • C. 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.
  • 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 # 31
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?

  • A. Use Firestore in Datastore mode.
  • B. Use Cloud Spanner in a multi-region configuration.
  • C. Use a Bigtable instance with clusters in multiple regions.
  • D. Use Cloud SQL for PostgreSQL with both cross-region read replicas.

Answer: B

Explanation:
https://cloud.google.com/blog/products/databases/manage-semi-structured-data-in-cloud-spanner-with-json


NEW QUESTION # 32
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

  • A. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).
  • B. Create a VM in Compute Engine, and run a cron job.
  • C. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.
  • D. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.

Answer: C

Explanation:
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured. Reference: https://cloud.google.com/tasks/docs/comp-tasks-sched


NEW QUESTION # 33
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