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Career Benefits

The Google Professional Cloud Architect certification demonstrates the ability of the specialists to design, develop, and manage robust, scalable, secure, highly available, and dynamic solutions to meet the business objectives. Earning this certificate allows the successful candidates to apply for Cloud architect jobs in a variety of companies all over the world. Some of the titles that these individuals can consider include a Cloud Infrastructure Engineer, a Cloud Operations Engineer, a Google Cloud Platform Data Architect, a Google Cloud Platform Solutions Architect, a Google Cloud Senior Analyst, and a Google Cloud Platform Data Warehouse Architect, among others. Another advantage associated with this certification is that it significantly boosts your earning potential. In 2020, this Google qualification was named the highest paying IT certificate. The average salary that you can count on holding it is $139,529 per annum.

Reference: https://cloud.google.com/certification/cloud-architect

Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

Section #4. Auditing and optimizing business as well as technical processes

The key focus areas of this domain are performing the SDLC management, continuous integration, change management, and best practices for troubleshooting or bug-finding. Verifying and testing of software solutions and infrastructure, disaster recovery, business continuity, and service catalogue are also discussed in here.

Another sub-section is all about the business process’ defining & analysing, stakeholder management, team management, and decision-making workflow.

Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:Google
Exam Name:Google Certified Professional - Cloud Architect
Exam Number:Professional-Cloud-Architect
Exam Format:Multiple Choice, Multiple Select
Passing Score:Not publicly disclosed
Exam Price:$200 USD
Available Languages:German, French, Portuguese, Japanese, Spanish, English, Indonesian
Certificate Validity Period:2 years
Real Exam Qty:50-60
Exam Duration:120 minutes
Related Certifications:Google Cloud Certified - Professional Cloud Architect
Sample Questions:Google Professional-Cloud-Architect Sample Questions
Exam Way:Online (proctored) or at a test center
Pre Condition:No mandatory prerequisite, but recommended to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-architect

What It Is to Be Google Professional Cloud Architect Certified?

Earning this certificate allows an individual to gain an expert-like understanding of concepts like building the cloud solution architecture and its end-to-end implementation, managing and provisioning the cloud solution infrastructure, and security & compliance of Google cloud.

Accredited professionals are well-versed in everything related to enterprise cloud strategy, architecture planning, and solution designing. They are known to be proficient in the development of methodologies and best practices that are needed for multiple cloud or hybrid environments.

Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Designing and planning a cloud solution architecture- Enabling future cloud technology
  • 1. Designing for scalability and elasticity
  • 2. Implementing future-proof architectures
- Designing network, storage, and compute resources
  • 1. GKE cluster and workload design
  • 2. Storage options and data lifecycle management
  • 3. Compute engine selection and configuration
  • 4. Network design including load balancing and firewall rules
- Creating a migration plan
  • 1. Identifying workloads for migration
  • 2. Refactoring and rearchitecting applications
  • 3. Planning data migration
- Designing solution infrastructure that meets business requirements
  • 1. Business use cases and product strategy
  • 2. Integration with existing systems
  • 3. Data and storage architecture
  • 4. Migration planning
  • 5. Cost optimization
  • 6. Networking and compute resources
Topic 2: Designing for security and compliance- Designing for compliance
  • 1. Audit logging and monitoring
  • 2. Data residency and sovereignty
  • 3. Regulatory and compliance requirements
- Designing for security
  • 1. Identity and Access Management (IAM)
  • 2. Network security
  • 3. Application security
  • 4. Data security and encryption
Topic 3: Analyzing and optimizing technical and business processes- Analyzing and defining technical processes
  • 1. CI/CD pipeline design
  • 2. Software development lifecycle (SDLC)
  • 3. Incident management and troubleshooting
- Analyzing and defining business processes
  • 1. Business KPIs and metrics
  • 2. Stakeholder communication
  • 3. Cost management and optimization
Topic 4: Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Hybrid and multi-cloud connectivity
  • 2. VPC design and peering
  • 3. Private access and VPN configuration
- Configuring individual storage systems
  • 1. Cloud SQL and Spanner
  • 2. Cloud Storage configuration
  • 3. Datastore and Bigtable
- Configuring compute systems
  • 1. Compute Engine configuration
  • 2. GKE configuration and management
  • 3. Cloud Run and Cloud Functions
Topic 5: Ensuring solution and operations reliability- Monitoring/logging/profiling/alerting solution
  • 1. Performance profiling and tracing
  • 2. Error reporting and alerting
  • 3. Cloud Monitoring and Cloud Logging
- Evaluating quality control measures
- Assisting with support
  • 1. Capacity planning and scaling
  • 2. Incident response and troubleshooting
- Deployment and release management
  • 1. Release management and versioning
  • 2. Deployment strategies and rollback
Topic 6: Managing implementation- Interacting with Google Cloud programmatically
  • 1. Infrastructure as Code (IaC)
  • 2. Cloud SDK and gcloud CLI
  • 3. APIs and client libraries
- Advising development/operation team(s) to ensure successful deployment
  • 1. Application development best practices
  • 2. Testing and validation
  • 3. Deployment strategies

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

Question #1

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, increase the size of the persistent disk and use the resize2fs command in Linux.
  • B. 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.
  • C. 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.
  • D. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
  • E. 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.
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Correct Answer: A  🗳️

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Question #2

You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?

  • A. 1. Create a new GKE cluster with Cloud Operations for GKE enabled.
    2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
    3. Use the GKE Monitoring dashboard to investigate logs from affected Pods.
  • B. 1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus.
    2. Set an alert to trigger whenever the application returns an error.
  • C. 1. Update your GKE cluster to use Cloud Operations for GKE.
    2. Use the GKE Monitoring dashboard to investigate logs from affected Pods.
  • D. 1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus.
    2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
    3. Set an alert to trigger whenever the application returns an error.
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Correct Answer: C  🗳️

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Question #3

You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?

  • A. Use gcloud sql instances restart.
  • B. In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubect1 to restart all pods.
  • C. In the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.
  • D. Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.
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Correct Answer: C  🗳️

Question #4

Your organization uses Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS) to manage a complex Kubernetes environment across multiple cloud providers. You need to deploy a solution that streamlines configuration management, enforces security policies, and ensures consistent application deployment across all of the environments. You want to follow Google-recommended practices. What should you do?

  • A. Utilize Config Sync as part of GKE to synchronize configurations from a centralized repository, and utilize Policy Controller to enforce policies using OPA Gatekeeper.
  • B. Leverage Argo CD for GitOps-based continuous delivery and Open Policy Agent (OPA) for policy enforcement, and develop a controller for multi-cluster configuration management.
  • C. Deploy Crossplane for managing cloud resources as Kubernetes objects. FluxCD for GitOps-based configuration synchronization, and Kyverno for policy enforcement.
  • D. Deploy Customize for configuration customization. Config Sync with multiple Git repositories, and a script to enforce security policies.
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Correct Answer: A  🗳️

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Question #5

You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

  • A. Run your script on a new virtual machine with the BigQuery access scope enabled
  • B. Install the bq component for gccloud with the command gcloud components install bq.
  • C. Install the latest BigQuery API client library for Python
  • D. Create a new service account with BigQuery access and execute your script with that user
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Correct Answer: A  🗳️

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