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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Professional Cloud Database Engineer
Exam Number:Professional-Cloud-Database-Engineer
Passing Score:Not publicly disclosed (pass/fail scaled scoring)
Real Exam Qty:50-60
Available Languages:English
Exam Duration:120 minutes
Exam Price:$200 USD (plus tax where applicable)
Exam Format:Multiple select, Multiple choice, Scenario-based questions
Related Certifications:Google Cloud Certified - Associate Cloud Engineer
Google Cloud Certified - Professional Cloud Data Engineer
Certificate Validity Period:2 years
Recommended Training:Google Cloud Database documentation
Google Cloud Skills Boost - Database Engineer Learning Path
Exam Registration:Official Google Cloud Certification Portal
Cloud Database Engineer Certification Page
Sample Questions:Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:Online proctored or onsite test center exam
Pre Condition:No formal prerequisites required. Recommended: ~5 years database/IT experience including ~2 years Google Cloud database experience.
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-database-engineer

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Google Professional-Cloud-Database-Engineer exam is designed to test the knowledge and skills of individuals who want to pursue a career as a database engineer in the Google Cloud environment. Google Cloud Certified - Professional Cloud Database Engineer certification validates the abilities of professionals to design, develop, and manage databases on Google Cloud Platform. Professional-Cloud-Database-Engineer Exam covers a wide range of topics, including data modeling, database design, performance optimization, security, and data backup and recovery. Passing the exam demonstrates that a candidate has the necessary skills to work with Google Cloud databases and can provide valuable contributions to an organization's database infrastructure.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q146-Q151):

NEW QUESTION # 146
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

Answer: A

Explanation:
To read data out of Cloud SQL for SQL Server, you need to use a service account with the roles/cloudsql.viewer role on the Cloud SQL instance. This role grants the service account permission to read data from the instance. Whereas roles/cloudsql.instanceUser will only allow to login to cloud SQL instance. No resource will be allowed to view.


NEW QUESTION # 147
You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

Answer: A


NEW QUESTION # 148
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?

Answer: C

Explanation:
The Cloud SQL overprovisioned instance recommender helps you detect instances that are unnecessarily large for a given workload. It then provides recommendations on how to resize such instances and reduce cost. This page describes how this recommender works and how to use it. https://cloud.google.com/sql/docs/mysql/recommender-sql-overprovisioned#:~:text=The%20Cloud%20SQL%20overprovisioned%20instance%20recommender%20helps%20you%20detect%20instances%20that%20are%20unnecessarily%20large%20for%20a%20given%20workload.%20It%20then%20provides%20recommendations%20on%20how%20to%20resize%20such%20instances%20and%20reduce%20cost.%20This%20page%20describes%20how%20this%20recommender%20works%20and%20how%20to%20use%20it.


NEW QUESTION # 149
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/instance-configurations#multi-region-best-practices Best practices For optimal performance, follow these best practices: Design a schema that prevents hotspots and other performance issues. For optimal write latency, place compute resources for write-heavy workloads within or close to the default leader region. For optimal read performance outside of the default leader region, use staleness of at least 15 seconds. To avoid single-region dependency for your workloads, place critical compute resources in at least two regions. A good option is to place them next to the two different read-write regions so that any single region outage will not impact all of your application. Provision enough compute capacity to keep high priority total CPU utilization under 45% in each region.


NEW QUESTION # 150
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?

Answer: A


NEW QUESTION # 151
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