Latest updated Professional-Cloud-Architect Braindump Free & Verified Google Certification Training - Fantastic Google Google Certified Professional - Cloud Architect (GCP)

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The Google Professional-Cloud-Architect Exam covers a wide range of topics, including cloud solution design, GCP infrastructure, data storage and processing, security, compliance, and cost optimization. Candidates are expected to have a deep understanding of GCP services, architecture principles, and best practices for cloud computing. Professional-Cloud-Architect exam also tests soft skills such as communication, project management, and problem-solving.

Section #6. Improving and validating the reliability of processes and solutions

The final exam domain is compact and throws light on concepts like deployment & release management, evaluations of quality control measures, monitoring and logging solutions, and helping users through deployed aids for the same.

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How much Google Professional Cloud Architect Exam cost

Google Professional Cloud Architect exam cost is $200 USD

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q205-Q210):

NEW QUESTION # 205
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?

A. Use Google Container Engine with a Django Python container. Focus on an API for the public.
B. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
C. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
D. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
E. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.

Answer: B

Explanation:
Explanation
https://cloud.google.com/endpoints/docs/openapi/about-cloud-endpoints?hl=en_US&_ga=2.21787131.-1712523
https://cloud.google.com/endpoints/docs/openapi/architecture-overview
https://cloud.google.com/storage/docs/gsutil/commands/test
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/certification/guides/cloud-architect/casestudy-terramearth

NEW QUESTION # 206
You are working at a financial institution that stores mortgage loan approval documents on Cloud Storage. Any change to these approval documents must be uploaded as a separate approval file, so you want to ensure that these documents cannot be deleted or overwritten for the next 5 years. What should you do?

A. Use a customer-managed key for the encryption of the bucket. Rotate the key after 5 years.
B. Create the bucket with fine-grained access control, and grant a service account the role of Object Writer. Use the service account to upload new files.
C. Create a retention policy on the bucket for the duration of 5 years. Create a lock on the retention policy.
D. Create the bucket with uniform bucket-level access, and grant a service account the role of Object Writer. Use the service account to upload new files.

Answer: C

NEW QUESTION # 207
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

A. Google Container Engine with Bigtable
B. Google Cloud Dataproc
C. Google Compute Engine with Google BigQuery
D. Google Cloud Dataflow

Answer: D

Explanation:
Dataflow is for processing both the Batch and Stream.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.

NEW QUESTION # 208
Your company creates rendering software which users can download from the company website. Your company has customers all over the world. You want to minimize latency for all your customers. You want to follow Google-recommended practices.
How should you store the files?

A. Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.
B. Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
C. Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.
D. Save the files in a Multi-Regional Cloud Storage bucket.

Answer: D

Explanation:
Reference:
https://cloud.google.com/storage/docs/locations#location-mr

NEW QUESTION # 209
You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud.
You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

A. Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.
B. Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
C. Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application.
Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
D. Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

Answer: C

Explanation:
Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
https://cloud.google.com/migrate/compute-engine/docs/4.9/concepts/planning-a-migration/cloud-instance-right

NEW QUESTION # 210
......

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Latest updated Professional-Cloud-Architect Braindump Free & Verified Google Certification Training - Fantastic Google Google Certified Professional - Cloud Architect (GCP)

Section #6. Improving and validating the reliability of processes and solutions

Exam Professional-Cloud-Architect Review - New Professional-Cloud-Architect Exam Price

How much Google Professional Cloud Architect Exam cost

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q205-Q210):

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