PROFESSIONAL-CLOUD-DATABASE-ENGINEER VALUABLE FEEDBACK & RELIABLE PROFESSIONAL-CLOUD-DATABASE-ENGINEER TEST BRAINDUMPS

Professional-Cloud-Database-Engineer Valuable Feedback & Reliable Professional-Cloud-Database-Engineer Test Braindumps

Professional-Cloud-Database-Engineer Valuable Feedback & Reliable Professional-Cloud-Database-Engineer Test Braindumps

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Google Cloud Certified - Professional Cloud Database Engineer certification exam is ideal for database administrators, database engineers, and cloud architects who want to demonstrate their expertise in managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is highly regarded in the industry and can help professionals advance their careers and increase their earning potential. By passing this certification exam, professionals can showcase their skills and knowledge of cloud-native database services and design and implement highly available, scalable, and secure databases on Google Cloud.

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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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q92-Q97):

NEW QUESTION # 92
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

  • A. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
  • B. Create one regional Cloud SQL instance with a read replica in another region.
  • C. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
  • D. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.

Answer: A

Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.


NEW QUESTION # 93
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. 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.
  • B. 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.
  • C. 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.
  • D. 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.

Answer: A


NEW QUESTION # 94
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. Write a utility to scan application logs.
  • B. Write a utility to scan database query logs.
  • C. Shut down and restart each application.
  • D. Use query tags to add application-centric database monitoring.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/postgres/using-query-insights#filter_by_query_tags


NEW QUESTION # 95
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

  • A. Use Firestore with Looker.
  • B. Use MongoD8 Atlas with Charts.
  • C. Use Bigtable with Looker.
  • D. Use Cloud Spanner with Data Studio.

Answer: B


NEW QUESTION # 96
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 2 Cloud SQL instances in the us-central1 region, and create read replicas in us-east1 and us-west1.
  • B. Deploy 4 Cloud SQL instances in the us-central1 region, and create read replicas in us-central1, us-east1 and us-west1.
  • C. 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.
  • D. Deploy 2 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-east1 and us-west1.

Answer: A


NEW QUESTION # 97
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