Exam Professional-Cloud-Database-Engineer Fee, Professional-Cloud-Database-Engineer Valid Exam Fee
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Google Professional-Cloud-Database-Engineer exam is a certification exam offered by Google Cloud that measures an individual's ability to design, develop, and manage Google Cloud database solutions. Professional-Cloud-Database-Engineer exam is intended for individuals who have experience working with databases, data management, and application development in a cloud environment. Professional-Cloud-Database-Engineer exam tests the candidate's knowledge of Google Cloud database services, such as Cloud SQL, Cloud Spanner, and Bigtable, along with their ability to design and implement database solutions using these services.
Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who are interested in demonstrating their expertise in designing and managing database solutions on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is an excellent way for professionals to validate their skills and knowledge in working with cloud-based databases and to enhance their career prospects.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q43-Q48):
NEW QUESTION # 43
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?
Answer: D
NEW QUESTION # 44
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?
Answer: B
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 # 45
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?
Answer: D
Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler
NEW QUESTION # 46
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?
Answer: C
Explanation:
https://cloud.google.com/memorystore/docs/redis/redis-overview
NEW QUESTION # 47
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?
Answer: A
Explanation:
BMS is the only Google database service which supports Oracle aside from GCVE. It allows you to use all native Oracle features including RAC. Since GCVE isn't mentioned, it has to be D - Bare Metal Solution.
NEW QUESTION # 48
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