Google Cloud Certified - Professional Cloud Architect exam
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About Google Professional Cloud Architect Exam!
Professional Cloud Architects enable organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud, they design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
The Professional Cloud Architect certification exam assesses your ability to:
- Design and plan a cloud solution architecture
- Manage and provision the cloud solution infrastructure
- Design for security and compliance
- Analyze and optimize technical and business processes
- Manage implementations of cloud architecture
- Ensure solution and operations reliability
- Length: 2 hours
- Registration fee: $200 (plus tax where applicable)
- Languages: English, Japanese
- Exam format: 50-60 multiple-choice and multiple-select questions
- Case studies:
Each exam includes 2 case studies that describe fictitious business and solution concepts. Case study questions make up 20-30% of the exam and assess your ability to apply your knowledge to a realistic business situation. You can view the case studies on a split screen during the exam. See the Exam Guide for the 4 available case studies.
- Exam delivery method:
- Take the online-proctored exam from a remote location
- Take the onsite-proctored exam at a testing center
- Prerequisites: None
- Recommended experience:
3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud
Google Professional Cloud Architect Exam Course Content
Section 1: Designing and planning a cloud solution architecture
1.1 Designing a solution infrastructure that meets business requirements. Considerations include:
- Business use cases and product strategy
- Cost optimization
- Supporting the application design
- Integration with external systems
- Movement of data
- Design decision trade-offs
- Build, buy, modify, or deprecate
- Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
- Compliance and observability
1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:
- High availability and failover design
- Elasticity of cloud resources with respect to quotas and limits
- Scalability to meet growth requirements
- Performance and latency
1.3 Designing network, storage, and compute resources. Considerations include:
- Integration with on-premises/multi cloud environments
- Cloud-native networking (VPC, peering, firewalls, container networking)
- Choosing data processing technologies
- Choosing appropriate storage types (e.g., object, file, databases)
- Choosing to compute resources (e.g., preemptible, custom machine type, specialized workload)
- Mapping compute needs to platform products
1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:
- Integrating solutions with existing systems
- Migrating systems and data to support the solution
- Software license mapping
- Network planning
- Testing and proofs of concept
- Dependency management planning
1.5 Envisioning future solution improvements. Considerations include:
- Cloud and technology improvements
- Evolution of business needs
- Evangelism and advocacy
Section 2: Managing and provisioning a solution infrastructure
2.1 Configuring network topologies. Considerations include:
- Extending to on-premises environments (hybrid networking)
- Extending to a multi cloud environment that may include Google Cloud to Google Cloud communication
- Security protection (e.g. intrusion protection, access control, firewalls)
2.2 Configuring individual storage systems. Considerations include:
- Data storage allocation
- Data processing/compute provisioning
- Security and access management
- Network configuration for data transfer and latency
- Data retention and data life cycle management
- Data growth planning
2.3 Configuring compute systems. Considerations include:
- Compute resource provisioning
- Compute volatility configuration (preemptible vs. standard)
- Network configuration for computing resources (Google Compute Engine, Google Kubernetes Engine, server less networking)
- Infrastructure orchestration, resource configuration, and patch management
- Container orchestration
Section 3: Designing for security and compliance
3.1 Designing for security. Considerations include:
- Identity and access management (IAM)
- Resource hierarchy (organizations, folders, projects)
- Data security (key management, encryption, secret management)
- Separation of duties (SoD)
- Security controls (e.g., auditing, VPC Service Controls, context-aware access, organization policy)
- Managing customer-managed encryption keys with Cloud Key Management Service
- Remote access
3.2 Designing for compliance. Considerations include:
- Legislation (e.g., health record privacy, children’s privacy, data privacy, and ownership)
- Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
- Industry certifications (e.g., SOC 2)
- Audits (including logs)
Section 4: Analyzing and optimizing technology and business processes
4.1 Analyzing and defining technical processes. Considerations include:
- Software development life cycle (SDLC)
- Continuous integration / continuous deployment
- Troubleshooting/root cause analysis best practices
- Testing and validation of software and infrastructure
- Service catalog and provisioning
- Business continuity and disaster recovery
4.2 Analyzing and defining business processes. Considerations include:
- Stakeholder management (e.g. influencing and facilitation)
- Change management
- Team assessment/skills readiness
- Decision-making processes
- Customer success management
- Cost optimization/resource optimization (capex / opex)
4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
Section 5: Managing implementation
5.1 Advising development/operation teams to ensure successful deployment of the solution. Considerations include:
- Application development
- API best practices
- Testing frameworks (load/unit/integration)
- Data and system migration and management tooling
5.2 Interacting with Google Cloud programmatically. Considerations include:
- Google Cloud Shell
- Google Cloud SDK (gcloud, gsutil and bq)
- Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)
Section 6: Ensuring solution and operations reliability
6.1 Monitoring/logging/profiling/alerting solution
6.2 Deployment and release management
6.3 Assisting with the support of deployed solutions
6.4 Evaluating quality control measures
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Frequently Asked Questions
Obtaining a Google Certified Professional Cloud Architect certification can be definitely a valuable accomplishment for IT professionals who want to demonstrate their expertise in designing, developing, and managing cloud infrastructure using the Google Cloud Platform.
Earning a Google Certified Professional Cloud Architect certification can help you stand out in the job market and may lead to career advancement opportunities. It can also be a valuable addition to your professional development portfolio, as it shows that you are committed to staying up-to-date with the latest technologies and best practices in cloud computing.
It is a challenging exam that necessitates extensive knowledge of and practical expertise with Google Cloud goods and services. You won’t likely pass if you are unprepared. The certification has a strong reputation in the field and is a suitable place for people wishing to work in the cloud computing sector to start. So it’s better to prepare fully before giving the exam. I would like to suggest here using the amazing dumps provided by Edurely. They will make the whole preparation and examination process much easier for you.
It can take a significant amount of time and effort to become a Google Certified Professional Cloud Architect. The process typically involves gaining hands-on experience with Google Cloud Platform, studying for the certification exam, and passing the exam. The exact amount of time it will take will depend on your previous experience and knowledge, as well as the amount of time and effort you are able to commit to preparing for the exam.
Establishing a firm grasp of the fundamental ideas is a prerequisite for further study. Once you’ve mastered the fundamentals, you can start focusing your preparation on the Google Certified Professional cloud architect exam’s content by using study materials designed for it. Using test dumps from reliable suppliers like EDURELY is an excellent approach to achieving this.
EDURELY Google Certified Professional cloud architect dumps are designed to help candidates pass the exam with flying colors. They cover all of the key topics that are included in the exam and provide realistic practice questions that will help test your understanding and readiness. Best of all, they’re 100% free to download so there’s no reason not to give them a try.
No. Learning Cloud Computing (CC) technologies is achievable in the IT sector even without any prior programming or coding knowledge. The first step is to become familiar with the fundamentals of CC. A fundamental understanding of cloud concepts is typically necessary to study cloud computing.
It is possible for a non-IT person to become a cloud architect, but it would likely require significant education and training in the field of cloud computing. Cloud architecture involves designing and managing complex cloud infrastructure, and typically requires a strong understanding of computer science, networking, and systems design. Non-IT professionals who are interested in pursuing a career as a cloud architect may need to invest in additional education and training in order to gain the necessary skills and knowledge.
If you are looking for real and genuine Google Cloud Architect Exam material, then you have come to the right place. Exam dumps provided by Edurely are the best ones They are designed to help you relax and focus on your studies. You can better understand the concepts and retain them for the exam by using the content of the dumps.
Holding a Google Cloud certification, such as the Google Certified Professional Cloud Architect certification, can demonstrate to potential employers that you have the skills and knowledge necessary to work with the Google Cloud Platform. While certification alone is not a guarantee of employment, it can be an important factor in a hiring decision and may increase your chances of getting a job in the field. It’s important to remember that certification is just one aspect of a successful job search and that other factors, such as work experience and personal qualities, also play a role in securing a job.
All Professional Google Cloud certifications are valid for two years from the date an individual certifies.
According to Glassdoor, the average salary for a Google Cloud Architect is $141,947 per year as of 2022. However, actual salaries may vary based on factors such as the employee’s location, level of experience, and specific job responsibilities.
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