Professional-Cloud-Database-Engineer Labs | Professional-Cloud-Database-Engineer Exam Vce

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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud Database Engineer
Exam Number:	Professional-Cloud-Database-Engineer
Available Languages:	English, Japanese
Related Certifications:	Google Cloud Certified - Professional Data Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer
Certificate Validity Period:	2 years
Passing Score:	Not officially disclosed
Real Exam Qty:	50-60
Exam Price:	$200 USD
Exam Format:	Multiple Choice, Multiple Select
Exam Duration:	120 minutes
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Google recommends hands-on experience with Google Cloud database services and cloud architecture.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

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Google Professional-Cloud-Database-Engineer Certification is designed for database professionals who want to validate their skills in designing, building, and managing scalable and reliable database solutions on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is suitable for individuals who have a solid understanding of database concepts and working experience with databases, and want to demonstrate their expertise in designing and maintaining database systems on Google Cloud.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q187-Q192):

NEW QUESTION # 187
Your application follows a microservices architecture and uses a single large Cloud SQL instance, which is starting to have performance issues as your application grows. in the Cloud Monitoring dashboard, the CPU utilization looks normal You want to follow Google-recommended practices to resolve and prevent these performance issues while avoiding any major refactoring. What should you do?

A. Increase the number of CPUs for your instance.
B. Increase the storage size for the instance.
C. Use Cloud Spanner instead of Cloud SQL.
D. Use many smaller Cloud SQL instances.

Answer: C

NEW QUESTION # 188
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

A. Update a MySQL database flag to increase the number of vCPUs.
B. Issue a gcloud sql instances patch command to increase the number of vCPUs.
C. Issue a gcloud compute instances update command to increase the number of vCPUs.
D. Back up the database, create an instance with additional vCPUs, and restore the database.

Answer: B

NEW QUESTION # 189
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?

A. Use Query Insights to identify idle instances.
B. Build indexes on heavily accessed tables.
C. Run the Recommender API to identify overprovisioned instances.
D. Remove inactive user accounts.

Answer: C

NEW QUESTION # 190
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections. You checked memory and CPU usage, and sufficient resources are available. You want to follow Google-recommended practices to ensure that the import will not time out. What should you do?

A. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
B. Ensure that the service account has the Storage Admin role.
C. Close idle connections or restart the instance before beginning the import operation.
D. Increase the amount of memory allocated to your instance.

Answer: B

NEW QUESTION # 191
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 PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.
B. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
C. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
D. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.

Answer: D

NEW QUESTION # 192
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