2025 PROFESSIONAL PRACTICE PROFESSIONAL-CLOUD-ARCHITECT QUESTIONS | PROFESSIONAL-CLOUD-ARCHITECT 100% FREE VALID EXAM CAMP PDF

2025 Professional Practice Professional-Cloud-Architect Questions | Professional-Cloud-Architect 100% Free Valid Exam Camp Pdf

2025 Professional Practice Professional-Cloud-Architect Questions | Professional-Cloud-Architect 100% Free Valid Exam Camp Pdf

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To become a Google Certified Professional - Cloud Architect (GCP), a candidate must pass the Professional-Cloud-Architect certification exam. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design, manage, and secure cloud solutions on GCP. Professional-Cloud-Architect Exam is proctored and can be taken online or at a testing center.

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Whether you prefer web-based practice exam, desktop-based exam, or PDF real questions, we've got you covered. We believe that variety is key when it comes to Google Professional-Cloud-Architect Exam Preparation, and that's why we offer three formats that cater to different learning styles and preferences.

The Google Professional-Cloud-Architect Exam consists of multiple-choice and scenario-based questions, and is designed to test a candidate's knowledge and skills in various areas such as designing and planning a cloud solution architecture, managing and provisioning a cloud infrastructure, optimizing cloud solutions for cost and performance, and ensuring the security and compliance of cloud solutions.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q61-Q66):

NEW QUESTION # 61
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 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.
  • 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 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.

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-rightsizing?hl=en


NEW QUESTION # 62
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

  • A. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
  • B. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
  • C. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
  • D. Create a cron script using gsutil to copy the files to a Regional Storage bucket.

Answer: C

Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
https://cloud.google.com/storage-transfer/docs/overview


NEW QUESTION # 63
You deploy your custom java application to google app engine.
It fails to deploy and gives you the following stack trace:

  • A. Upload missing JAR files and redeploy your application
  • B. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
  • C. Digitally sign all of your JAR files and redeploy your application.

Answer: C


NEW QUESTION # 64
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase
their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating
efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?

  • A. Capture all operating data, train machine learning models that identify ideal operations, and run locally
    to make operational adjustments automatically
  • B. Capture all operating data, train machine learning models that identify ideal operations, and host in
    Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically
  • C. Have you engineers inspect the data for patterns, and then create an algorithm with rules that make
    operational adjustments automatically
  • D. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud
    Messaging (GCM) to make operational adjustments automatically

Answer: B

Explanation:
Explanation/Reference:
References: https://cloud.google.com/customers/ocado/
Testlet 1
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About 80% of their
business is from mining and 20% from agriculture. They currently have over 500 dealers and service
centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is
stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is
downloaded via a maintenance port. This same port can be used to adjust operational parameters,
allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data
directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects
a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a
single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP,
and place the data in their data warehouse. Because this process takes time, aggregated reports are
based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned
downtime of their vehicles by 60%. However, because the data is stale, some customers are without their
vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.

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.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.

Create a backup strategy.

Increase security of data transfer from equipment to the datacenter.

Improve data in the data warehouse.

Use customer and equipment data to anticipate customer needs.

Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2

- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs
repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application
at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs

- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server

- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better
vehicles for lower cost than our competitors. However, new products with different approaches are
constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of
transformations in our industry. My goals are to build our skills while addressing immediate market needs
through incremental innovations.


NEW QUESTION # 65
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 dat a. What service account key-management strategy should you recommend?

  • A. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
  • B. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
  • C. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
  • D. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

Answer: C

Explanation:
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 Reference:
https://cloud.google.com/iam/docs/understanding-service-accounts


NEW QUESTION # 66
......

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