About Cloud-Architect Exam
An Overview Of GCP -Google Professional Cloud Architect Exams
GCP -Google Professional Cloud Architect exam is designed to analyze a person’s ability about managing the cloud infrastructure, design secure cloud solution architecture plans, analyze business processes and optimize technicalities management and provide solutions and operations reliability as well as implement the cloud architecture. The cloud architect is responsible for providing cloud computing solutions.
Prerequisites for the GCP -Google Professional Cloud Architect exam
There are no prerequisites, either in terms of experience in the industry or required attendance of a training course. However, it is recommended that you have 3+ years of industry experience, including 1+ years of designing and managing solutions using Google Cloud.
Some other skills required for this exam are:
- Excellent programming skills.
- Communicating and Collaborating Skills.
- Design Solution architecture on Google Cloud.
- Knowledge of various Infrastructure Automation Tools.
- Cloud Service Knowledge.
- Cyber Security Skills.
- Stakeholder Management
GCP -Google Professional Cloud Architect Exam Details
The Professional Cloud Architect Certification exam comprises 40 multiple-choice questions, with a duration of 120 minutes. The registration fee averages $200 per attempt. You can take the exams from your home or office via Webassessor. The exam consists only of multiple-answer choice items (no performance-based labs). The exam is valid for 2 years from the date of passing the exam. However, there is no passing score given to pass the exam.
GCP -Google Professional Cloud Architect Exam Info
- Exam Name: Google Professional Cloud Architect
- Total Questions: 40 questions
- Passing Score: No specified passing score
- Exam Duration:Â 120 minutes
- Exam Type:Â Multiple-Choice Questions
- Exam Cost:Â $150 USD
Updated Course Outline For GCP -Google Professional Cloud Architect Exam
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
- movement of data
- tradeoffs
- build, buy or modify
- success measurements (e.g., Key Performance Indicators (KPI), Return on Investment (ROI), metrics)
1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:
- high availability and failover design
- the elasticity of cloud resources
- scalability to meet growth requirements
1.3 Designing network, storage, and compute resources. Considerations include:
- integration with on-premises/multi-cloud environments
- identification of data storage needs and mapping to storage systems
- data flow diagrams
- storage system structure (e.g., Object, File, RDBMS, NoSQL, New SQL)
- 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
- licensing mapping
- network and management planning
- testing and proof-of-concept
1.5 Envisioning future solution improvements. Considerations include:
- cloud and technology improvements
- business needs evolution
- evangelism and advocacy
Section 2: Managing and Provisioning Solution Infrastructure
2.1 Configuring network topologies. Considerations include:
- extending to on-premises (hybrid networking)
- extending to a multi-cloud environment
- security
- data protection
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 lifecycle management
- data growth management
2.3 Configuring Compute Systems Considerations include:
- compute system provisioning
- compute volatility configuration (preemptible vs. standard)
- network configuration for compute nodes
- orchestration technology configuration (e.g. Chef/Puppet/Kubernetes)
Section 3: Designing for security and compliance
3.1 Designing for security. Considerations include:
- Identity and Access Management (IAM)
- data security
- penetration testing
- Separation of Duties (SoD)
- security controls
3.2 Designing for legal compliance. Considerations include:
- legislation (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s Online Privacy Protection Act (COPPA), etc.)
- audits
- certification (e.g., Information Technology Infrastructure Library (ITIL) framework)
Section 4: Analyzing and optimizing technology and business processes
4.1 Analyzing and defining technical processes. Considerations include:
- Software Development Lifecycle Plan (SDLC)
- continuous integration / continuous deployment
- troubleshooting/post-mortem analysis culture
- testing and validation
- IT enterprise process (e.g. ITIL)
- business continuity and disaster recovery
4.2 Analyzing and defining business processes. Considerations include:
- stakeholder management (e.g. Influencing and facilitation)
- change management
- decision-making process
- customer success management
4.3 Developing procedures to test the resilience of solutions in production (e.g., DiRT and Chaos Monkey)
Section 5: Managing Implementation
5.1 Advising development/operation team(s) to ensure successful deployment of the solution. Considerations include:
- application development
- API best practices
- testing frameworks (load/unit/integration)
- data and system migration tooling
5.2 Reading and writing application development languages. At a minimum, languages include:
- Java
- Python
Section 6: Ensuring solution and operations reliability
6.1 Monitoring/Logging/Alerting solution
6.2 Deployment and release management
6.3 Supporting operational troubleshooting
6.4 Evaluating quality control measure
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