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[Hardware] Google Professional-Cloud-Database-Engineer Trustworthy Source & Professiona

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【Hardware】 Google Professional-Cloud-Database-Engineer Trustworthy Source & Professiona

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The Google Professional-Cloud-Database-Engineer Exam covers various topics such as database architecture, database design, data modeling, database security, database optimization, and database maintenance. Professional-Cloud-Database-Engineer exam also assesses an individual's ability to design, implement, and manage highly available and scalable database solutions using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.
Google Professional-Cloud-Database-Engineer certification is a valuable credential for database professionals who are interested in advancing their careers and demonstrating their expertise in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. By earning this certification, individuals can demonstrate to employers and clients that they have the skills and knowledge required to work with Google Cloud technology, making them more valuable in the job market.
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Google Professional-Cloud-Database-Engineer certification exam is designed for individuals who are interested in demonstrating their expertise in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam is intended for database professionals who have experience with Google Cloud SQL, Cloud Spanner, and Cloud Bigtable, among other Google Cloud database services.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q107-Q112):NEW QUESTION # 107
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?
  • A. For each application code, set up a common shared user account.
  • B. For each application code, set up a dedicated user account.
  • C. For the application server, set up a service account.
  • D. For the application server, set up a common shared user account.
Answer: B

NEW QUESTION # 108
Your organization has a ticketing system that needs an online marketing analytics and reporting application. You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?
  • A. Bigtable
  • B. Cloud Spanner
  • C. Cloud SQL
  • D. BigQuery
Answer: D

NEW QUESTION # 109
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?
  • A. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
  • B. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.
  • C. Use PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.
  • D. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
Answer: C
Explanation:
https://severalnines.com/blog/ho ... lability-pgbouncer/
https://cloud.google.com/blog/pr ... -sql-for-postgresql This answer is correct because PgBouncer is a lightweight connection pooler for PostgreSQL that can help you distribute read requests between the Cloud SQL primary and read replica instances1. PgBouncer can also improve performance and scalability by reducing the overhead of creating new connections and reusing existing ones1. You can install PgBouncer on a Compute Engine instance and configure it to connect to the Cloud SQL instances using private IP addresses or the Cloud SQL Auth proxy2.

NEW QUESTION # 110
You are migrating critical production database from Amazon RDS for MySQL to Cloud SQL for MYSQL by using Google Cloud's Migration Service.
You want to keep disruption to your production database to minimum and, at the same time, optimize migration performance. What should you do?
  • A. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.
  • B. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
  • C. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.
  • D. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.
Answer: D

NEW QUESTION # 111
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 Serverless VPC Access.
  • C. Set up Traffic Director.
  • D. Set up Private Service Connect.
Answer: A
Explanation:
https://medium.com/google-cloud/ ... :text=Unlike%20VPC%
20peering%2C%20Shared%20VPC%20connects%20projects%20within%20the%20same%20organization.
&text=There%20are%20a%20lot%20of,between%20VPCs%20in%20different%20projects.

NEW QUESTION # 112
......
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P.S. Free 2026 Google Professional-Cloud-Database-Engineer dumps are available on Google Drive shared by ActualVCE: https://drive.google.com/open?id=1GJs9Iu7vqTGVgKj-c7BFvNC5_-0IDIlM
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