GET THE LATEST ACTUAL PROFESSIONAL-CLOUD-DATABASE-ENGINEER TEST PDF FOR IMMEDIATE STUDY AND INSTANT SUCCESS

Get the Latest Actual Professional-Cloud-Database-Engineer Test Pdf for Immediate Study and Instant Success

Get the Latest Actual Professional-Cloud-Database-Engineer Test Pdf for Immediate Study and Instant Success

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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 (Q136-Q141):

NEW QUESTION # 136
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

  • A. Deploy the database using Cloud Spanner.
  • B. Deploy the database using Cloud SQL.
  • C. C.Deploy the database using Bigtable.
  • D. Use BigQuery, and load data in batches.

Answer: C

Explanation:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi-structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured dat a. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.


NEW QUESTION # 137
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

  • A. Edit the instance to change the storage type from HDD to SSD.
  • B. Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.
  • C. Export the data from the existing instance, and import the data into a new instance with solid-state drives (SSDs).
  • D. Create a read replica of the instance with SSDs, and perform a failover to the new instance

Answer: C

Explanation:
https://stackoverflow.com/questions/72034607/can-i-change-storage-type-from-hdd-to-ssd-on-cloud-sql-after-creating-an-instanc


NEW QUESTION # 138
You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process data. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The applicationperforms completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?

  • A. Determine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.
  • B. Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.
  • C. Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.
  • D. Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.

Answer: B

Explanation:
Verify that the replica has processed all the transactions it has received from the primary. This ensures that when promoted, the replica reflects all transactions that were received before the primary became unavailable.
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#verify_failover_criteria


NEW QUESTION # 139
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer dat a. You want to design a multi-tenancy strategy to efficiently manage costs and operations. What should you do?

  • A. Apply an instance data management pattern.
  • B. Apply a database data management pattern.
  • C. Apply a schema data management pattern.
  • D. Apply a table data management pattern.

Answer: A

Explanation:
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner


NEW QUESTION # 140
Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do?

  • A. Create a Cloud SQL instance in HA mode with a cross-region read replica.
  • B. Create a spanner instance across regions for optimal performance.
  • C. Create an AlloyDB instance in HA mode with a cross-region read replica.
  • D. Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.

Answer: B


NEW QUESTION # 141
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