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Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who have experience in designing, developing, and managing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates the candidate's ability to design, develop, and manage highly scalable, available, and secure databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data migration, data synchronization, database security, database performance tuning, and disaster recovery.
Earning the Google Professional-Cloud-Database-Engineer Certification demonstrates an individual's expertise and proficiency in designing and managing cloud-based database solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification can help individuals advance their careers and increase their earning potential.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q61-Q66):
NEW QUESTION # 61
You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?
- A. Set up a Shared VPC, configure multiple service projects, and create firewall rules.
- B. Set up Private Service Connect.
- C. Set up Serverless VPC Access.
- D. Set up Traffic Director.
Answer: A
NEW QUESTION # 62
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)
- A. Keep the network bandwidth at 1 Gbps, and then perform an offline data migration.
- B. Use a change data capture (CDC) migration strategy.
- C. Increase the network bandwidth to 2 Gbps, and then perform an offline data migration.
- D. Move the physical database servers from on-premises to Google Cloud.
- E. Increase the network bandwidth to 10 Gbps, and then perform an offline data migration.
Answer: B,C
NEW QUESTION # 63
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: C
Explanation:
https://cloud.google.com/sql/docs/mysql/quotas#table_limit
NEW QUESTION # 64
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)
- A. Set up manual backups.
- B. Schedule automated backups.
- C. Create a PostgreSQL database on-premises as the HA option.
- D. Configure single zone availability for automated backups.
- E. Enable point-in-time recovery.
Answer: C,E
NEW QUESTION # 65
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?
- A. Watch Cloud Trace for application requests that are failing.
- B. Watch the Cloud SQL instance monitor for CPU utilization metrics.
- C. Watch the Cloud SQL recommenders for overprovisioned instances.
- D. Watch Query Insights for long running queries.
Answer: D
Explanation:
Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too large for their workload. Eliminate C. Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library
NEW QUESTION # 66
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