Ngân hàng đề — Google Professional Cloud Architect

You are a cloud architect for a multinational corporation that has a wide array of legacy applications hosted on-premises. You have been tasked to devise a strategy to migrate these applications to Google Cloud. Considering the least disruption, the nature of the applications, and the organization's business objectives, which migration strategy should you recommend?

For this question, refer to the Cymbal Retail case study.

https://services.google.com/fh/files/misc/v6.1_pca_cymbal_retail_case_study_english.pdf

Cymbal wants enriched product attributes (such as color, material, and use-case) to be available consistently across web, conversational commerce, and future AI-powered recommendation systems. The solution must support:

• Near real-time updates when product data changes

• A unified, authoritative enriched catalog

• Easy integration with existing Kubernetes-based microservices

Which design best ensures a unified and scalable enriched product catalog?

For this question, refer to the EHR Healthcare case study.

https://services.google.com/fh/files/misc/v6.1_pca_ehr_healthcare_case_study_english.pdf

EHR Healthcare is transitioning from an on-prem data center to Google Cloud. For the transition period, some applications will remain hosted on-prem but need to be securely accessible by the remote workforce through a BeyondCorp access model. All employees use Google Workspace accounts for authentication. EHR also requires visibility into access logs for audit purposes. How should you configure access to these on-prem applications?

Consider a scenario where a global financial services company wants to move their legacy monolithic application to the cloud. The application is currently hosted on-premise and relies on a combination of custom-built software, third-party software, and hardware appliances. The new cloud-based solution must meet the following requirements:

• support high availability and disaster recovery

• maintain the current level of security and compliance

• ensure data privacy and data residency requirements are met for all regions

• optimize cost while providing scalable and elastic resources

• minimize downtime during migration

What is the most appropriate solution to meet the requirements outlined above?

You are tasked with migrating an on-premise data warehouse to Google Cloud. The on-premise data warehouse supports structured data with complex SQL queries and must ensure scalability for future growth, seamless integration with analytics tools, and minimal downtime during the migration. Which Google Cloud service would best suit this use case?

Your organization has a multi-tier application running on Google Cloud and follows an Agile development process. You are assigned the task of setting up a testing environment that is identical to the production environment. This testing environment should be isolated and must not impact the production environment in any way. It should also be easily reproducible and scalable to facilitate multiple parallel testing efforts. How should you approach this task?

As a cloud architect, you have been assigned the task of setting up a Compute Engine application in a single Virtual Private Cloud (VPC) spanning across two regions for a global e-commerce company. The objective is to ensure high availability and seamless connectivity between instances in these two regions, while also keeping latency and cost to a minimum. Which approach would be the most effective to meet these requirements?

Your team manages a global e-commerce platform hosted on Google Cloud. You are preparing to deploy a new recommendation engine that uses Vertex AI and Cloud Run. The company emphasizes minimizing downtime, ensuring rapid rollback, and enabling continuous improvement through metrics and feedback loops. According to the Operational Excellence pillar of the Well-Architected Framework, which deployment approach aligns best with Google’s recommended practices?

As a cloud architect for a rapidly growing e-commerce company, you are tasked with handling Payment Card Industry Data Security Standard (PCI DSS) compliance for the storage and processing of payment card data. The company uses Compute Engine for their application servers, Cloud SQL for their transaction databases, and Cloud Storage for long-term data retention. Which of the following strategies is the most suitable to address this requirement?

You are a Google Professional Cloud Architect working with a large e-commerce company. The company wants to optimize its data processing workflows by implementing Google Cloud Dataflow. They aim to leverage the power of Dataflow to process large volumes of streaming and batch data efficiently and reliably. In the context of this complex scenario, which of the following statements about Google Cloud Dataflow is correct?