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Let Exam Professional-Cloud-Database-Engineer Papers Help You Pass The Google Cloud Certified - Professional Cloud Database Engineer
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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • Determine the correct database migration tools for a given scenario
  • Size database compute and storage based on performance requirements
Topic 2
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically
Topic 3
  • Reverse replication from Google Cloud to source
  • Evaluate appropriate database solutions on Google Cloud
Topic 4
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
Topic 5
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Topic 6
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
Topic 7
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations
Topic 8
  • Distinguish between SQL and NoSQL business requirements
  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
Topic 9
  • Provision high availability database solutions in Google Cloud
  • Design scalable and highly available cloud database solutions

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

NEW QUESTION # 28
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

  • A. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
  • B. Use linear scaling to implement the Autoscaler-based architecture
  • C. Use direct scaling to implement the Autoscaler-based architecture.
  • D. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.

Answer: A


NEW QUESTION # 29
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

  • A. Use Cloud Spanner with a custom autoscaling solution.
  • B. Use sharded Cloud SQL instances with one or more stores per database instance.
  • C. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
  • D. Use a Biglable cluster with autoscaling.

Answer: B


NEW QUESTION # 30
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?

  • A. Recommend solid-state drives (SSD).
  • B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
  • C. Recommend mixed storage types.
  • D. Recommend hard disk drives (HDD).

Answer: B


NEW QUESTION # 31
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

  • A. Automate instance creation by writing a Dataflow job.
  • B. Create clones from a template Cloud SQL instance.
  • C. Automate instance creation by setting up Terraform scripts.
  • D. Create the instances using the Google Cloud Console UI.

Answer: D


NEW QUESTION # 32
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

  • A. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
  • B. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
  • C. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
  • D. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.

Answer: D


NEW QUESTION # 33
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