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Professional-Cloud-Database-Engineer practice test questions answers

Google Professional-Cloud-Database-Engineer Dumps Questions Answers

Exam Code:
Professional-Cloud-Database-Engineer
Last Update: Dec 20, 2024
132 Questions Answers with Explanation Detail
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Professional-Cloud-Database-Engineer Q&A's Detail

Exam Code:
Professional-Cloud-Database-Engineer
Total Questions:
132 Q&A's
Single Choice Questions:
124 Q&A's
Multiple Choice Questions:
8 Q&A's

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The Google Professional-Cloud-Database-Engineer exam is designed for database professionals with two years of Google Cloud experience and five years of overall database and IT experience.
The Google Professional-Cloud-Database-Engineer certification is ideal for database professionals who want to specialize in Google Cloud database solutions. Its particularly relevant for those with hands-on experience working with Google Cloud databases.
The Google Professional-Cloud-Database-Engineer exam assesses your ability to design scalable and highly available cloud database solutions, manage solutions spanning multiple databases, migrate data, and deploy databases in Google Cloud.
The Google Professional-Cloud-Database-Engineer exam consists of 50-60 multiple-choice and multiple-select questions.
The Google Professional-Cloud-Database-Engineer exam has a duration of 120 minutes.
The Google Professional-Cloud-Database-Engineer certification is valid for two years from the date you earn it. To maintain your certified status, you'll need to retake and pass the exam within the recertification window.
There are no specific prerequisites for the Google Professional-Cloud-Database-Engineer exam, but having 5+ years of overall database and IT experience (including 2 years with Google Cloud database solutions) is recommended.
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Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Questions 1

You are evaluating Cloud SQL for PostgreSQL as a possible destination for your on-premises PostgreSQL instances. Geography is becoming increasingly relevant to customer privacy worldwide. Your solution must support data residency requirements and include a strategy to:

configure where data is stored

control where the encryption keys are stored

govern the access to data

What should you do?

Options:

A.

Replicate Cloud SQL databases across different zones.

B.

Create a Cloud SQL for PostgreSQL instance on Google Cloud for the data that does not need to adhere to data residency requirements. Keep the data that must adhere to data residency requirements on-premises. Make application changes to support both databases.

C.

Allow application access to data only if the users are in the same region as the Google Cloud region for the Cloud SQL for PostgreSQL database.

D.

Use features like customer-managed encryption keys (CMEK), VPC Service Controls, and Identity and Access Management (IAM) policies.

Questions 2

Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

Options:

A.

Migrate the databases to Cloud Spanner.

B.

Migrate the databases to Cloud SQL, and enable a standby database.

C.

Migrate the databases to Compute Engine using regional persistent disks.

D.

Migrate the databases to Bare Metal Solution for Oracle.

Questions 3

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 data. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

Options:

A.

Use Firestore and ensure that the PersistenceEnabled option is set to true.

B.

Use Memorystore for Memcached.

C.

Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.

D.

Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.

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