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The Google Professional-Cloud-Architect Exam is made up of multiple-choice questions that cover a range of topics, including cloud architecture, security, networking, and data management. Candidates are expected to have a strong understanding of cloud computing technologies and best practices, as well as the ability to apply this knowledge to real-world scenarios. Professional-Cloud-Architect exam is designed to be challenging, with a passing score of 70% required to earn the certification.

Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation.because it will really help them in hitting the core.Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
Design decision trade-offs
Business use cases and product strategy
Compliance and observability

Technical requirements considerations

Elasticity of cloud resources
Scalability to meet growth requirements
High availability and failover design
Performance and latency

Network, Storage, and Compute resources Considerations

Integration with on- premises/multi- cloud environments
Choosing data processing technologies
Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
Cloud-native networking (VPC, peering, firewalls, container networking)

Creating a migration plan

Testing and proof of concept
Dependency management planning
Licensing mapping
Integrating solution with existing systems
Migrating systems and data to support the solution

Envisioning future solution improvements

Cloud and technology improvements
Evangelism and advocacy
Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

Security and data protection
Extending to on-premises (hybrid networking)
Extending to a multi-cloud environment that may include GCP to GCP communication

Configuring individual storage systems

Data storage allocation
Data growth management
Security and access management
Data processing/compute provisioning
Network configuration for data transfer and latency

Configuring compute systems

Network configuration for compute nodes
Compute system provisioning
Container orchestration with Kubernetes
Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
Compute volatility configuration (preemptible vs. standard)

3. Designing for security and compliance

Security considerations

Data security (key management, encryption)
Separation of duties (SoD)
Identity and access management (IAM)
Resource hierarchy (organizations, folders, projects)

compliance Considerations

Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
Industry certifications (e.g., SOC 2)
Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

Testing and validation
Troubleshooting / post mortem analysis culture
Business continuity and disaster recovery

Analyzing and defining business processes. Considerations include:

Team assessment / skills readiness
Decision- making process
Customer success management

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

Application development
API best practices
Data and system migration tooling
Testing frameworks (load/unit/integration)

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

Local installation
Google Cloud Shell

6. Ensuring solution and operations reliability

Monitoring/logging/profiling/alerting solution
Assisting with the support of solutions in operation
Deployment and release management
Evaluating quality control measures

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All these three TrainingDumps Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) exam questions formats are easy to use and perfectly work with all devices, operating systems, and the latest web browsers. So rest assured that with the Professional-Cloud-Architect Exam Dumps you will get everything that you need to learn, prepare and pass the challenging Professional-Cloud-Architect exam with good scores.

The GCP certification exam covers a wide range of topics related to cloud architecture, including designing and planning a cloud solution architecture, managing and provisioning infrastructure, ensuring security and compliance, and optimizing technical and business processes. Professional-Cloud-Architect Exam is designed to assess the candidate's ability to design, develop, and manage scalable, efficient, and secure cloud solutions using GCP technologies.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q52-Q57):

NEW QUESTION # 52
Your company operates nationally and plans to use GCP for multiple batch workloads, including some that are not time-critical. You also need to use GCP services that are HIPAA-certified and manage service costs.
How should you design to meet Google best practices?

A. Provisioning preemptible VMs to reduce cost. Disable and then discontinue use of all GCP and APIs that are not HIPAA-compliant.
B. Provision standard VMs in the same region to reduce cost. Discontinue use of all GCP services and APIs that are not HIPAA-compliant.
C. Provisioning preemptible VMs to reduce cost. Discontinue use of all GCP services and APIs that are not HIPAA-compliant.
D. Provision standard VMs to the same region to reduce cost. Disable and then discontinue use of all GCP services and APIs that are not HIPAA-compliant.

Answer: A

NEW QUESTION # 53
Your company and one of its partners each have a Google Cloud project in separate organizations. Your company's project (prj-a) runs in Virtual Private Cloud (vpc-a). The partner's project (prj-b) runs in vpc-b. There are two instances running on vpc-a and one instance running on vpc-b. Subnets defined in both VPCs are not overlapping. You need to ensure that all instances communicate with each other via internal IPs, minimizing latency and maximizing throughput. What should you do?

A. Set up a network peering between vpc-a and vpc-b
B. Configure IAP TCP forwarding on the instance in vpc-b, and then launch the following gcloud command from one of the instances in vpc-a gcloud: gcloud compute start-iap-tunnel INSTANCE_NAME_IN_VPC_8 22 \ --local-host-port=localhost:22
C. 1. Create an additional instance in vpc-a.
2. Create an additional instance in vpc-b.
3. Install OpenVPN in newly created instances.
4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN.
D. Set up a VPN between vpc-a and vpc-b using Cloud VPN

Answer: A

Explanation:
https://cloud.google.com/vpc/docs/vpc-peering
Google Cloud VPC Network Peering allows internal IP address connectivity across two Virtual Private Cloud (VPC) networks regardless of whether they belong to the same project or the same organization.

NEW QUESTION # 54
For this question refer to the TerramEarth case study.
Which of TerramEarth's legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption.

A. Opex/capex allocation, LAN changes, capacity planning
B. Data Center expansion, TCO calculations, utilization measurement
C. Capacity planning, TCO calculations, opex/capex allocation
D. Capacity planning, utilization measurement, data center expansion

Answer: C

Explanation:
Capacity planning, TCO calculations, opex/capex allocation From the case study, it can conclude that Management (CXO) all concern rapid provision of resources (infrastructure) for growing as well as cost management, such as Cost optimization in Infrastructure, trade up front capital expenditures (Capex) for ongoing operating expenditures (Opex), and Total cost of ownership (TCO)

NEW QUESTION # 55
You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP.
Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?

A. Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
B. Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
C. Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.
D. Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.

Answer: A

Explanation:
https://cloud.google.com/interconnect/docs/how-to/direct-peering

NEW QUESTION # 56
For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

A. Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.
B. Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.
C. Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.
D. Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher.
Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

Answer: D

NEW QUESTION # 57
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