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Professional-Cloud-Database-Engineer Questions and Answers

Question # 1

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 Cloud SQL with read replicas for throughput.

B.

Use Firestore, and rely on automatic serverless scaling.

C.

Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.

D.

Use Bigtable, and add nodes as necessary to achieve the required throughput.

Question # 2

You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

A.

For each application code, set up a common shared user account.

B.

For each application code, set up a dedicated user account.

C.

For the application server, set up a service account.

D.

For the application server, set up a common shared user account.

Question # 3

You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?

A.

Set up a Shared VPC, configure multiple service projects, and create firewall rules.

B.

Set up Serverless VPC Access.

C.

Set up Private Service Connect.

D.

Set up Traffic Director.

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