TIMELY UPDATED GOOGLE PROFESSIONAL-CLOUD-DATABASE-ENGINEER DUMPS

Timely Updated Google Professional-Cloud-Database-Engineer Dumps

Timely Updated Google Professional-Cloud-Database-Engineer Dumps

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q14-Q19):

NEW QUESTION # 14
You are the DBA of your organization. You provided a cloned instance from the production Cloud SQL for PostSQL database to the developers for testing purposes. After the creation of the clone. Your developers notice missing data in one of the recently altered tables. What should you do to ensure that all data in included?

  • A. check for missing rotes and privileges in 'he cloned Cloud SQL instance. Grant missing privileges to the developers.
  • B. Clone the current production database, and restore it to an earlier point in time IPITR) Provide access to the cloned instance to the developers.
  • C. Take a back up of the production database and restore It to another Cloud SQL for PostgreSQL Instance. Provide access to the new instance to the developers.
  • D. Dump the production database to a fie. Modify the dumped file to ALTER TABLE to SET LOGGED on tables that were unlogged in production. Reload the data in the new Cloud SQL for PostgreSQL Instance.

Answer: B


NEW QUESTION # 15
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

  • A. Normalize the database to the third normal form.
  • B. Compress the data using a different compression algorithm.
  • C. Create another schema to load older data.
  • D. Manually or automatically increase the storage capacity.

Answer: B


NEW QUESTION # 16
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

  • A. Create a custom app profile with multi-cluster routing.
  • B. Use the default app profile with single-cluster routing.
  • C. Create a custom app profile with single-cluster routing.
  • D. Use the default app profile with multi-cluster routing.

Answer: A

Explanation:
https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile The question states that a single cluster existed first, then a second cluster was added. Google's documentation states, "if you created the instance with one cluster, the default app profile uses single-cluster routing. This ensures that adding additional clusters later does not change the behavior of your existing applications". Simply adding a second cluster does not change the default profile from single-cluster routing to multi-cluster routing. Since you need multi-cluster routing, you're going to need a custom app profile. So C is correct. https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile


NEW QUESTION # 17
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

  • A. Migrate the existing database to Cloud Spanner.
  • B. Migrate the existing database to Cloud SQL for PostgreSQL.
  • C. Migrate the existing database to Firestore.
  • D. Migrate the existing database to PostgreSQL running on Compute Engine.

Answer: B

Explanation:
You could migrate to Spanner leveraging the PostgreSQL dialect, but costs need to be minimized so that wouldn't be the cheapest option. Especially since the load doesn't justify Spanner. Again, you could migrate like-for-like to a GCE VM, but that defeats minimizing the migration effort. The cheapest and easiest way to migrate would be Database Migration Service to Cloud SQL for PostgreSQL.


NEW QUESTION # 18
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

  • A. Use a Biglable cluster with autoscaling.
  • B. Use sharded Cloud SQL instances with one or more stores per database instance.
  • C. Use Cloud Spanner with a custom autoscaling solution.
  • D. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.

Answer: C

Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud


NEW QUESTION # 19
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