Valid Test Professional-Cloud-Architect Bootcamp - Valid Professional-Cloud-Architect Vce Dumps

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The Google Professional Cloud Architect certification exam equips the individuals with the skills required to help enterprises apply Google Cloud technologies.

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Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Exam is a certification exam offered by Google Cloud that is designed to assess and validate the skills and knowledge of individuals in designing and implementing cloud architecture solutions. Professional-Cloud-Architect exam is aimed at professionals who are interested in becoming certified Google Cloud Architects and who possess a strong understanding of cloud computing, networking, and security concepts.

What Are Topics Covered by Google Professional Cloud Architect?

To increase your chances of success in this certification exam, you need to master its topics beforehand. This test covers six domains:

Developing & Planning Cloud Solution Infrastructure

The Google Professional Cloud Architect exam is premised on issues to do with developing solution architectures that comply with business demands. The considerations included here are such as business use scenarios as well as product strategy, cost optimization, data movement, success measurements, and compliance with observability. It also scrutinizes how to develop infrastructure that complies with technical specifications. This is where factors like high availability, elasticity, failover design, scalability, performance as well as latency are covered. The next segments are about developing network, compute, and storage resources, creating a plan for migration and envisioning future improvements in solutions. The last bit looks at improvements on cloud in addition to technology, the evolution of enterprise needs, and advocacy and evangelism.

Managing & Provisioning Solution Infrastructure

To manage and provision architectural solutions, candidates must focus on mastering how to configure topologies on networks. Concerned here are matters like hybrid networking, extending to environments like multi-cloud, data protection, and security. The next part concerns configuring storage systems and has considerations like allocation for data storage, data processing, access management and security, data retention, and growth management for data. Mastering abilities in compute systems is another tested area. It has considerations like provisioning for compute systems, the configuration of compute volatility, network configuration targeting compute nodes, and container orchestration using Kubernetes.

Developing for Security & Compliance

The Professional Cloud Architect exam also concerns developing for security & compliance. The first part regarding security includes considerations like IAM, resource hierarchy such as folders, organizations, and projects, data security, penetration testing, separation of duties, and managing customers and their encryption keys. The second piece focuses on developing for compliance and considers matters like legislation, commercial, industry certifications like SOC 2, and audits with logs.

Analyzing & Enhancing Technical & Business Processes

The first task is to analyze and define technical processes where considerations are such as SDLC (Software Development Life Cycle), continuous integration and deployment, troubleshooting, testing as well as validation, service catalogs, disaster recovery, and business continuity. Next is to study how to analyze and define business processes. This considers stakeholder management, change management, team assessment, the management of customer success, and cost optimization. To close this domain is creating procedures to make sure that there is resilience during solution production. An issue to consider in this case is, for example, chaos engineering.

Managing Implementation

The Google Professional Cloud Architect exam is also about managing implementation. Thus, included here are matters like advising development or operation teams to make sure that solution deployment is successful. Additionally, issues to consider are such as application development, best practices for API, testing frameworks, and system & data migration tooling. This section also scrutinizes how to interact with the cloud by using GCP SDK (gcloud, gsutil, as well as bq), where the deliberations involved are location installation and Google Cloud Shell.

Ensuring Reliability in Solutions & Operations

This concluding topic concerns such notions as controlling, profiling, logging, and alerting solutions. In addition, candidates will have to be aware of deploying and releasing management and should be equipped with the knowledge of offering assistance by supporting solutions that currently are in operation. To close this area there is an evaluation of measures for quality control.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

NEW QUESTION # 73
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data. How can you design your logging system to verify authenticity of your logs?

A. Create a JSON dump of each log entry and store it in Google Cloud Storage.
B. Use a SQL database and limit who can modify the log table.
C. Digitally sign each timestamp and log entry and store the signature.
D. Write the log concurrently in the cloud and on premises.

Answer: A

NEW QUESTION # 74
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?

A. Use Cloud Scheduler to trigger a Cloud Function that will stop the development and acceptance environments after office hours and start them just before office hours.
B. Deploy the development and acceptance applications on a managed instance group and enable autoscaling.
C. Create a shell script that uses the gcloud command to change the machine type of the development and acceptance instances to a smaller machine type outside of office hours. Schedule the shell script on one of the production instances to automate the task.
D. Use regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.

Answer: D

Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs

NEW QUESTION # 75
You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

A. ~/bin
B. /google/scripts
C. /usr/local/bin
D. Cloud Storage

Answer: B

NEW QUESTION # 76
Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?

A. Create a network for development and test and another for staging and production
B. Create one subnetwork for development and another for staging and production
C. Create one project for development, a second for staging and a third for production
D. Create a project for development and test and another for staging and production

Answer: C

NEW QUESTION # 77
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?

A. Store the data in Cloud Storage and run a nightly batch script that deletes all expired data.
B. Store the data in Cloud Storage and use lifecycle management to delete files when they expire.
C. Store the data in Google Drive and manually delete records as they expire.
D. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.

Answer: B

NEW QUESTION # 78
......

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Valid Test Professional-Cloud-Architect Bootcamp - Valid Professional-Cloud-Architect Vce Dumps

2025 Valid Test Professional-Cloud-Architect Bootcamp | Efficient Professional-Cloud-Architect 100% Free Valid Vce Dumps

What Are Topics Covered by Google Professional Cloud Architect?

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

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