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Free PDF 2026 Google Latest Professional-Cloud-Database-Engineer: Cheap Google Cloud Certified - Professional Cloud Database Engineer Dumps

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Google Cloud Certified - Professional Cloud Database Engineer certification exam is ideal for database administrators, database engineers, and cloud architects who want to demonstrate their expertise in managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is highly regarded in the industry and can help professionals advance their careers and increase their earning potential. By passing this certification exam, professionals can showcase their skills and knowledge of cloud-native database services and design and implement highly available, scalable, and secure databases on Google Cloud.

Google Professional-Cloud-Database-Engineer Certification is a valuable credential for professionals who want to demonstrate their expertise in cloud database engineering on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is recognized by employers and industry experts as a reliable indicator of a candidate's skills and knowledge in this area. Google Cloud Certified - Professional Cloud Database Engineer certification also provides access to a community of certified professionals, as well as resources and tools to help candidates stay up-to-date with the latest trends and developments in cloud database engineering.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q110-Q115):

NEW QUESTION # 110
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Firestore.
B. Use BigQuery.
C. Use Cloud Spanner.
D. Use Bigtable

Answer: B

NEW QUESTION # 111
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

A. Use Firestore.
B. Use Cloud SQL for MySQL
C. Use Cloud Spanner.
D. Use Bigtable.

Answer: C

Explanation:
Spanner covers the SLA

NEW QUESTION # 112
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 a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
B. 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.
C. 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.
D. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.

Answer: C

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md

NEW QUESTION # 113
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
B. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
C. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
D. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.

Answer: C

NEW QUESTION # 114
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?

A. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
B. Ensure that you are using an external (public) IP address interface.
C. Enable the Cloud SQL Admin API.
D. Check whether your service account has cloudsql.instances.connect permission.

Answer: A

NEW QUESTION # 115
......

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