Google PROFESSIONAL-CLOUD-ARCHITECT Exam Questions & Answers

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective approach for storing their race data such as telemetry. They want to keep all historical records, train models using only the previous season's data, and plan for data growth in terms of volume and information collected. You need to propose a data solution. Considering HRL business requirements and the goals expressed by CEO S. Hawke, what should you do?

A. Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data by season and event.

B. Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data using season as a primary key.

C. Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on season.

D. Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use separate database instances for each season.

Your company has a Google Workspace account and Google Cloud Organization Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization

You want to create an Organization structure that allows developers to create projects, but prevents them from modifying production projects You want to manage policies for all projects centrally and be able to set more restrictive policies for production projects

You want to minimize disruption to users and developers when business needs change in the future You want to follow Google-recommended practices How should you design the Organization structure?

A. 1 Create a second Google Workspace account and Organization 2 Grant all developers the Project Creator IAM role on the new Organization 3 Move the developer projects into the new Organization 4 Set the policies for all projects on both Organizations. 5 Additionally set the production policies on the original Organization

B. 1 Create a folder under the Organization resource named "Production ' 2 Grant all developers the Project Creator IAM role on the Organization 3. Move the developer projects into the Organization 4 Set the policies for all projects on the Organization 5 Additionally set the production policies on the 'Production" folder

C. 1 Create folders under the Organization resource named "Development" and Production' 2 Grant all developers the Project Creator IAM role on the ""Development1 folder 3. Move the developer projects into the "Development" folder 4 Set the policies for all projects on the Organization 5 Additionally set the production policies on the "Production" folder

D. 1 Designate the Organization for production projects only 2 Ensure that developers do not have the Project Creator IAM role on the Organization 3 Create development projects outside of the Organization using the developer Google Workspace accounts 4 Set the policies for all projects on the Organization 5 Additionally set the production policies on the individual production projects

Your company has an application running on Google Cloud that is collecting data from thousands of physical devices that are globally distributed. Data is publish to Pub/Sub and streamed in real time into an SSO Cloud Bigtable cluster via a Dataflow pipeline.

The operations team informs you that your Cloud Bigtable cluster has a hot-spot and queries are taking longer man expected

You need to resolve the problem and prevent it from happening in the future

What should you do?

A. Advise your clients to use HBase APIs instead of NodeJS APIs.

B. Review your RowKey strategy and ensure that keys are evenly spread across the alphabet.

C. Delete records older than 30 days.

D. Double the number of nodes you currently have.