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How to Prepare For Google Professional Cloud Architect Exam
Preparation Guide for Google Professional Cloud Architect Exam
Introduction
Google has designed a track for IT professionals to endorse as a cloud architect on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using industry standard methodology to conclude whether or not a aspirant meets Google's proficiency standards.
According to Google, a Google Certified Professional Cloud Architect facilitate organizations to influence Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work on Google Professional Cloud Architect and prove his knowledge, Certification offered by Google. This Google Professional Cloud Architect Certification helps a candidate to validates his skills in Google Professional Cloud Architect Technology.
In this guide, we will cover the Google Professional Cloud Architect Exam, Google Professional Cloud Architect Certified Professionals salary and all aspects of the Google Professional Cloud Architect Certification.
Managing Implementation
- Interact with Google Cloud with the use of GCP SDK: this requires the test takers’ understanding of Google Cloud Shell and local installation.
- Advice development and operation team to ensure the successful deployment of solutions: the areas of focus include application development; AIP best practices; data and system migration tool; testing framework;
Reference: https://cloud.google.com/certification/cloud-architect
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Google Professional-Cloud-Architect Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Designing for security and compliance | 17.5% | - Securing data and communications
|
| Designing and planning a cloud solution architecture | 25% | - Designing cloud solution infrastructure aligned with business requirements
|
| Managing and provisioning solution infrastructure | 15% | - Configuring network topologies and connectivity
|
| Managing implementation | 12.5% | - Testing and validating solutions
|
| Ensuring solution and operations excellence | 12.5% | - Planning for continuous improvement
|
| Analyzing and optimizing technical and business processes | 15% | - Streamlining operational workflows
|
Google Certified Professional - Cloud Architect (GCP) Sample Questions:
You created a Cloud Monitoring dashboard for your dev environment to view real-time application metrics The Ops team wants a similar dashboard to monitor the production environment. You want to minimize time and effort as you assist the Ops team with their dashboard request What should you do?
- A. Export your dashboard to a JSON file and share it with the Ops team.
- B. Share your dashboard and send the shared dashboard URL to the Ops team
- C. Grant viewer permission to the Ops team in your project so they can recreate the charts in their dashboard from the console.
- D. Create a shared document and list every step you performed lo create the dashboard. The Ops team can use the document to build their own dashboard.
Correct Answer: A 🗳️
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A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?
- A. In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
- B. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- C. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.
- D. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.
- E. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
Correct Answer: B 🗳️
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You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?
- A. Update the deployment yaml file with the new container image. Use kubect1 delete deployment/ echo-deployment and kubect1 create -f < yaml-file >
- B. Use kubect1 set image deployment/echo-deployment < new-image >
- C. Update the service yaml file which the new container image. Use kubect1 delete service/echoservice and kubect1 create -f < yaml-file >
- D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
Correct Answer: B 🗳️
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For this question, refer to the Dress4Win case study.
As part of their new application experience, Dress4Wm allows customers to upload images of themselves.
The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?
- A. Use a distributed file system to store customers ' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer ' s ID to their image files.
- B. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer ' s ID and their image files.
- C. Use a distributed file system to store customers ' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file ' s owner attribute, ensuring privacy of images.
- D. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer ' s unique ID.
Correct Answer: B 🗳️
You are a cloud architect for a financial services company that is building a new application on Google Kubernetes Engine (GKE). Currently, developers build container images on their workstations and manually push them to Artifact Registry. You need to design a secure CI/CD pipeline that automates the build and deployment process from your company ' s GitHub repository. The pipeline must ensure that only trusted, verified container images are deployed to the production GKE cluster and that every deployment can be traced back to its source code. What should you do?
- A. Connect your GitHub repository to Cloud Build to create the container images and store them in Artifact Registry. Write a custom script that runs on a schedule to check for new image tags in Artifact Registry and deploys the latest image to the production GKE cluster.
- B. Use Jenkins on Compute Engine to build container images from the GitHub repository and push them to Artifact Registry. Promote images by adding tags in the registry. Use a service account key file stored in the Jenkins instance to grant deployment permissions to the production GKE cluster.
- C. Create a Cloud Run function that triggers on changes to a Cloud Storage bucket where developers upload source code archives from GitHub. Have the function use Kaniko cache to build the image and push it to Artifact Registry. Use kubectl commands within the function to deploy the image to GKE.
- D. Connect your GitHub repository to Cloud Build, and create a trigger to automatically start builds on commits. Use the pipeline to build the container image, push it to Artifact Registry, and generate build provenance. Configure Binary Authorization with an attestor to require sign-off before deploying to the production GKE cluster using Cloud Deploy.
Correct Answer: D 🗳️
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