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Google Cloud Certified - Professional Cloud Database Engineer certification is a valuable asset for professionals who work with databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates the candidate's skills and expertise in database architecture, data modeling, and data management technologies, and validates their ability to design, deploy, and manage scalable and reliable databases on the Google Cloud Platform. Additionally, this certification can help professionals advance their careers and increase their earning potential by demonstrating their proficiency in a highly sought-after skill set.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q143-Q148):
NEW QUESTION # 143
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability.
What should you do?
Answer: B
Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview
NEW QUESTION # 144
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard.
You need to recommend the optimal storage type for this read-intensive database. What should you do?
Answer: B
Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.
NEW QUESTION # 145
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?
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/quotas#table_limit
NEW QUESTION # 146
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?
Answer: B
Explanation:
https://cloud.google.com/iam/docs/overview
NEW QUESTION # 147
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?
Answer: C
NEW QUESTION # 148
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