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Google Professional-Cloud-Database-Engineer Exam is a certification offered by Google for professionals seeking to demonstrate their expertise in designing, developing, and managing cloud-based databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is intended for individuals who have experience working with cloud databases and have a deep understanding of Google Cloud Platform infrastructure and services.

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Google Professional-Cloud-Database-Engineer exam is a certification exam offered by Google Cloud that measures an individual's ability to design, develop, and manage Google Cloud database solutions. Professional-Cloud-Database-Engineer exam is intended for individuals who have experience working with databases, data management, and application development in a cloud environment. Professional-Cloud-Database-Engineer Exam Tests the candidate's knowledge of Google Cloud database services, such as Cloud SQL, Cloud Spanner, and Bigtable, along with their ability to design and implement database solutions using these services.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q170-Q175):

NEW QUESTION # 170
You are a DBA of Cloud SQL for PostgreSQL. You want the applications to have password-less authentication for read and write access to the database. Which authentication mechanism should you use?

A. Use Cloud SQL federated queries.
B. Use PostgreSQL database's built-in authentication.
C. Use Identity and Access Management (IAM) authentication.
D. Use Managed Active Directory authentication.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/authentication

NEW QUESTION # 171
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?

A. roles/cloudsql.editor and roles/spanner.admin
B. roles/cloudsql.instanceUser and roles/spanner.databaseUser
C. roles/cloudsql.viewer and roles/spanner.databaseUser
D. roles/cloudsql.client and roles/spanner.databaseReader

Answer: C

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 # 172
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
B. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
C. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance.
Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
D. Restore the Cloud SQL instance from the automatic backups in region 3.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 173
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

A. Deploy a single-zone Bigtable cluster and optimize the application code for maximum write throughput.
B. Deploy a single-region Bigtable instance and increase the nodes to maximize data durability.
C. Deploy multiple Bigtable clusters, shard data manually across them, and set up the application logic for fault tolerance.
D. Provision a multi-zone Bigtable cluster, configure replication, perform an application stress-test, and set up performance monitoring.

Answer: D

Explanation:
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.

NEW QUESTION # 174
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 the Cloud SQL Auth proxy for database connection pooling 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 Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.

Answer: C

NEW QUESTION # 175
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