Google Certified Professional - Cloud Architect (GCP) - Professional-Cloud-Architect

Test Details

This is a 2-hour test comprising two question formats, including multiple-choice and multiple-select items. This exam is available in English and Japanese and costs $200. You can take it as an online proctored exam or in person at the nearest testing center.

Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

• Ensuring of Solution & Operations Reliability

  To tackle the questions related to the last domain, the applicants are required to be conversant with monitoring/logging/profiling/alerting solutions. They should know how to perform deployment & release management as well as evaluate quality control measures. IN addition, the specialists must be able to assist with the support of deployed solutions.

• Implementation Management

  The aim of this module is to evaluate the ability of the individuals to advise operation or development team(s) to ensure the successful deployment of the solution. This includes application development, API best practices, testing frameworks, as well as data & system migration and management tooling. The examinees should also be capable of interacting with Google Cloud programmatically. This requires their understanding of Google Cloud Shell, Google Cloud SDK, and Cloud Emulators.

• Security & Compliance Design

  The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.

• Management & Provisioning of Solution Infrastructure

  In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.

• Cloud Solution Architecture Design & Planning

  Here the candidates need to demonstrate their skills in designing a solution infrastructure that satisfies the business needs; envisioning future solution improvements; creating a migration plan; designing network, compute, and storage resources; designing a solution infrastructure that satisfies the technical needs.

• Analysis & Optimization of Technical & Business Processes

  Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

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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

• Integration with external systems
• Cost optimization
• Compliance and observability
• Design decision trade-offs
• Business use cases and product strategy
• Build, buy or modify
• Supporting the application design
• Movement of data
• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

• Evangelism and advocacy
• Cloud and technology improvements
• Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

• Data security (key management, encryption)
• Separation of duties (SoD)
• Identity and access management (IAM)
• Penetration testing
• Security controls (e.g., auditing, VPC Service Controls organization policy)
• Managing customer- managed encryption keys with Cloud KMS
• 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)
• Audits (including logs)
• Industry certifications (e.g., SOC 2)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

• Software development life cycle plan (SDLC)
• Business continuity and disaster recovery
• Continuous integration / continuous deployment
• Troubleshooting / post mortem analysis culture
• Service catalog and provisioning
• Testing and validation

Analyzing and defining business processes. Considerations include:

• Change management
• Stakeholder management (e.g. influencing and facilitation)
• Decision- making process
• Cost optimization / resource optimization (capex / opex)
• Team assessment / skills readiness
• 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

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

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

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Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

Google Professional-Cloud-Architect Exam Syllabus Topics: