Section #6. Improving and validating the reliability of processes and solutions

The final exam domain is compact and throws light on concepts like deployment & release management, evaluations of quality control measures, monitoring and logging solutions, and helping users through deployed aids for the same.

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.

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

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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Managing implementation	- Interacting with Google Cloud programmatically 1. Infrastructure as Code (IaC) 2. Cloud SDK and gcloud CLI 3. APIs and client libraries - Advising development/operation team(s) to ensure successful deployment 1. Deployment strategies 2. Application development best practices 3. Testing and validation
Designing for security and compliance	- Designing for compliance 1. Regulatory and compliance requirements 2. Data residency and sovereignty 3. Audit logging and monitoring - Designing for security 1. Data security and encryption 2. Network security 3. Application security 4. Identity and Access Management (IAM)
Analyzing and optimizing technical and business processes	- Analyzing and defining technical processes 1. Software development lifecycle (SDLC) 2. Incident management and troubleshooting 3. CI/CD pipeline design - Analyzing and defining business processes 1. Business KPIs and metrics 2. Cost management and optimization 3. Stakeholder communication
Ensuring solution and operations reliability	- Evaluating quality control measures - Monitoring/logging/profiling/alerting solution 1. Error reporting and alerting 2. Performance profiling and tracing 3. Cloud Monitoring and Cloud Logging - Deployment and release management 1. Release management and versioning 2. Deployment strategies and rollback - Assisting with support 1. Capacity planning and scaling 2. Incident response and troubleshooting
Managing and provisioning a solution infrastructure	- Configuring network topologies 1. Private access and VPN configuration 2. Hybrid and multi-cloud connectivity 3. VPC design and peering - Configuring compute systems 1. Compute Engine configuration 2. GKE configuration and management 3. Cloud Run and Cloud Functions - Configuring individual storage systems 1. Cloud SQL and Spanner 2. Datastore and Bigtable 3. Cloud Storage configuration
Designing and planning a cloud solution architecture	- Creating a migration plan 1. Planning data migration 2. Refactoring and rearchitecting applications 3. Identifying workloads for migration - Designing solution infrastructure that meets business requirements 1. Data and storage architecture 2. Integration with existing systems 3. Networking and compute resources 4. Business use cases and product strategy 5. Migration planning 6. Cost optimization - Enabling future cloud technology 1. Designing for scalability and elasticity 2. Implementing future-proof architectures - Designing network, storage, and compute resources 1. Storage options and data lifecycle management 2. GKE cluster and workload design 3. Compute engine selection and configuration 4. Network design including load balancing and firewall rules