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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Analyze and optimize technical and business processes- Monitor, log, and optimize system performance
- Optimize cost and resource usage
Design and plan a cloud solution architecture- Design for reliability, scalability, and availability
- Plan security and compliance requirements
- Design Google Cloud solutions based on business requirements
Design for security and compliance- Implement identity and access management (IAM)
- Configure data protection and encryption
Manage implementations of cloud architecture- Ensure solution reliability and operational excellence
- Manage deployment and production systems
Manage and provision the solution infrastructure- Automate infrastructure deployment
- Provision compute, storage, and network resources

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q328-Q333):

NEW QUESTION # 328
For this question, refer to the TerramEarth case study.
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?

Answer: C

Explanation:
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory Support the dealer network with more data on how their customers use their equipment to better position new products and services Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Reference:
https://cloud.google.com/endpoints/docs/openapi/about-cloud-endpoints?hl=en_US&_ga=2.21787131.-1712523161.1522785064
https://cloud.google.com/endpoints/docs/openapi/architecture-overview
https://cloud.google.com/storage/docs/gsutil/commands/test


NEW QUESTION # 329
You are architecting a new application feature for a healthcare provider based in Qatar. The feature needs to summarize sensitive patient notes that are submitted by clinicians. A critical requirement is that the content of these patient notes must never be processed outside of Qatar's borders. You want to use a powerful, pre-trained generative model for the summarization task while strictly adhering to the data residency constraint. What should you do?

Answer: C

Explanation:
The Vertex AI documentation shows that the Middle East region me-central1 (Doha, Qatar) is available.
By selecting a pretrained model (for example from the Model Garden) and deploying it as an endpoint in that Qatar region, you can ensure that the data never leaves Qatari borders, fulfilling the data residency requirement.


NEW QUESTION # 330
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

Answer: A

Explanation:
https://cloud.google.com/iam/docs/understanding-service-accounts
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform


NEW QUESTION # 331
You have an application that uses Vertex AI Feature Store to manage and serve product features for real-time recommendations. You want to monitor the performance and health of the application. You need to understand the overall duration of a request. What should you do?

Answer: D

Explanation:
Request latency directly represents the total time taken to process and serve a request end to end. Measuring latency allows you to understand overall request duration and assess the performance and health of real-time feature serving.


NEW QUESTION # 332
You are designing a mobile chat application. You want to ensure that people cannot spoof chat messages by proving that a message was sent by a specific user. What should you do?

Answer: A

Explanation:
A is not correct because although this would encrypt the message, it does not validate either the client or the server.
B is not correct because a malicious actor could spoof the user identifier and destination user information.
C is not correct because SSL only requires the server to have a signed certificate and does not require validating the client.
D is correct because PKI requires that both the server and the client have signed certificates, validating both the client and the server.


NEW QUESTION # 333
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