GET LATEST GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DATABASE ENGINEER PREPARE TORRENT PASS THE GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DATABASE ENGINEER EXAM IN THE FIRST ATTEMPT - VALIDDUMPS

Get latest Google Cloud Certified - Professional Cloud Database Engineer Prepare Torrent Pass the Google Cloud Certified - Professional Cloud Database Engineer Exam in the First Attempt - ValidDumps

Get latest Google Cloud Certified - Professional Cloud Database Engineer Prepare Torrent Pass the Google Cloud Certified - Professional Cloud Database Engineer Exam in the First Attempt - ValidDumps

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q139-Q144):

NEW QUESTION # 139
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions.
You want to follow Google-recommended practices for the migration. What should you do?

  • A. Enable high availability (HA) for the database to make it regional.
  • B. Create a read replica in another region, and promote the read replica if a failure occurs.
  • C. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.
  • D. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.

Answer: A


NEW QUESTION # 140
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

  • A. Decrease the number of processing units.
  • B. Shard data required by the application into multiple instances.
  • C. Increase the number of processing units.
  • D. Modify the database schema, and add additional indexes.

Answer: C

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance. Refer : https://cloud.google.com/spanner/docs/troubleshooting-performance-regressions#review-schema


NEW QUESTION # 141
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. 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.
  • C. 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
  • D. 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.

Answer: B

Explanation:
Use Firestore in Datastore mode for new server projects. Firestore in Datastore mode allows you to use established Datastore server architectures while removing fundamental Datastore limitations. Datastore mode can automatically scale to millions of writes per second. Use Firestore in Native mode for new mobile and web apps. Firestore offers mobile and web client libraries with real-time and offline features. Native mode can automatically scale to millions of concurrent clients.


NEW QUESTION # 142
You are managing a small Cloud SQL instance for developers to do testing. The instance is not critical and has a recovery point objective (RPO) of several days. You want to minimize ongoing costs for this instance. What should you do?

  • A. Turn on automated backup, and turn on transaction log retention.
  • B. Take one manual backup per day, and turn off transaction log retention.
  • C. Turn on automated backup, and turn off transaction log retention.
  • D. Take no backups, and turn off transaction log retention.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/backup-recovery/backups


NEW QUESTION # 143
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

  • A. Create the instances using the Google Cloud Console UI.
  • B. Automate instance creation by writing a Dataflow job.
  • C. Automate instance creation by setting up Terraform scripts.
  • D. Create clones from a template Cloud SQL instance.

Answer: C


NEW QUESTION # 144
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