Latest Google Cloud Certified - Professional Cloud Database Engineer dumps pdf, Professional-Cloud-Database-Engineer valid torrent by hapoj76669 hapoj76669

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The Google Professional-Cloud-Database-Engineer Exam is a certification exam that is designed to test the skills and knowledge of professionals who are responsible for managing and administering databases on the Google Cloud Platform. This exam is part of the Google Cloud Certified program, which is a professional certification program offered by Google for individuals who want to demonstrate their expertise in Google Cloud technologies.

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The certification exam is part of the Google Cloud Certified program, which is a professional certification program that recognizes individuals who have demonstrated the skills and knowledge required to work with Google Cloud technology. The program is designed to help individuals advance their careers by providing them with the skills and knowledge they need to succeed in today's fast-paced and dynamic business environment.

The Google Professional-Cloud-Database-Engineer certification is highly valued in the IT industry and can lead to better job opportunities and higher salaries. It demonstrates a candidate's ability to design and manage databases on the cloud using Google Cloud Platform, which is becoming increasingly popular among organizations looking to move their data to the cloud. Additionally, the certification validates the candidate's expertise in database management and can help them stand out in a crowded job market.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q40-Q45):

NEW QUESTION # 40
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

A. Use Firestore, and rely on automatic serverless scaling.B. Use Bigtable, and add nodes as necessary to achieve the required throughput.C. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.D. Use Cloud SQL with read replicas for throughput.

Answer: C

NEW QUESTION # 41
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

A. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.B. Use Firestore and ensure that the PersistenceEnabled option is set to true.C. Use Memorystore for Memcached.D. Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.

Answer: D

NEW QUESTION # 42
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?

A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.B. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.D. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.

Answer: C

NEW QUESTION # 43
Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information. The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

A. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.B. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.C. Reload the Cloud SQL for MySQL database using the LOAD DATA command to load data from CSV files that were used to initialize the instance.D. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.

Answer: C

NEW QUESTION # 44
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)

A. Schedule automated backups.B. Enable point-in-time recovery.C. Create a PostgreSQL database on-premises as the HA option.D. Configure single zone availability for automated backups.E. Set up manual backups.

Answer: B,C

NEW QUESTION # 45
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