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The Professional-Cloud-Database-Engineer Certification is a valuable certification for database engineers and administrators who work with the Google Cloud Platform. It demonstrates a high level of expertise and knowledge in database management on the cloud, which is becoming increasingly important as more organizations move their data to the cloud. Google Cloud Certified - Professional Cloud Database Engineer certification also provides a competitive advantage in the job market, as it is recognized by employers and industry professionals as a sign of expertise in cloud database engineering.

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Google Professional-Cloud-Database-Engineer Certification is a valuable certification for database engineers and administrators who work with the Google Cloud Platform. It demonstrates a high level of expertise and knowledge in database management on the cloud, which is becoming increasingly important in today's digital landscape. Candidates can prepare for the exam by studying database management principles and gaining hands-on experience with database administration on the Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q106-Q111):

NEW QUESTION # 106
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 Cloud SQL for MySQL
B. Use Cloud Spanner.
C. Use Firestore.
D. Use Bigtable.

Answer: A

NEW QUESTION # 107
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

A. Create a VM in Compute Engine, and run a cron job.
B. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.
C. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
D. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).

Answer: B

Explanation:
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured.
https://cloud.google.com/tasks/docs/comp-tasks-sched

NEW QUESTION # 108
You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse.
What should you do?

A. Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
B. Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.
C. Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
D. Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences

Answer: C

NEW QUESTION # 109
You are planning connectivity for a global retail analytics service that runs in multiple Google Cloud regions and must reach a Cloud Spanner database with very low latency, strong security, and high reliability. Which connection approach should the application adopt to satisfy these requirements?

A. Use the Cloud Spanner client libraries against a multi-region instance and configure connection pooling
B. Access Cloud Spanner through the REST API from the app and add a cache layer to improve response time
C. Use the Cloud Spanner client libraries with a regional instance and enable connection pooling
D. Connect to a fixed public IP address on the Cloud Spanner instance and enable SSL

Answer: A

Explanation:
A multi-region Cloud Spanner instance provides globally distributed replicas with strong consistency and very high availability, which aligns with the needs of a global application. The client libraries use efficient gRPC connections and integrate with IAM for strong authentication and authorization. Connection pooling minimizes session and channel creation overhead, which improves throughput and tail latency while increasing reliability through automatic retries and health checks.

NEW QUESTION # 110
You have a Cloud SQL instance (DB-1) with two cross-region read replicas (DB-2 and DB-3). During a business continuity test, the primary instance (DB-1) was taken offline and a replica (DB-2) was promoted. The test has concluded and you want to return to the pre-test configuration. What should you do?

A. Delete DB-2 so that DB-1 automatically reverts to the primary instance.
B. Bring DB-1 back online.
C. Delete DB-1, and re-create DB-1 as a read replica in the same region as DB-1.
D. Create DB-4 as a read replica in the same region as DB-1, and promote DB-4 to primary.

Answer: A

NEW QUESTION # 111
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