1. GCP
1.1. Foundational
1.1.1. Cloud Digital Leader
1.1.1.1. General cloud knowledge (approximately 15-25% of the exam)
1.1.1.2. General Google Cloud knowledge (approximately 25-35% of the exam)
1.1.1.3. Google Cloud products and services (approximately 45-55% of the exam)
1.2. Associate
1.2.1. Associate Cloud Engineer
1.2.1.1. Set up a cloud solution environment
1.2.1.2. Plan and configure a cloud solution
1.2.1.3. Deploy and implement a cloud solution
1.2.1.4. Ensure successful operation of a cloud solution
1.2.1.5. Configure access and security
1.3. Professional
1.3.1. Cloud DevOps Engineer
1.3.1.1. 1. Applying site reliability engineering principles to a service
1.3.1.1.1. 1.1 Balance change, velocity, and reliability of the service:
1.3.1.1.2. 1.2 Manage service life cycle:
1.3.1.1.3. 1.3 Ensure healthy communication and collaboration for operations:
1.3.1.2. 2. Building and implementing CI/CD pipelines for a service
1.3.1.2.1. 2.1 Design CI/CD pipelines:
1.3.1.2.2. 2.2 Implement CI/CD pipelines:
1.3.1.2.3. 2.3 Manage configuration and secrets:
1.3.1.2.4. 2.4 Manage infrastructure as code:
1.3.1.2.5. 2.5 Deploy CI/CD tooling:
1.3.1.2.6. 2.6 Manage different development environments (e.g., staging, production, etc.):
1.3.1.2.7. 2.7 Secure the deployment pipeline:
1.3.1.3. Manage application performance monitoring
1.3.1.4. 3. Implementing service monitoring strategies
1.3.1.4.1. 3.1 Manage application logs:
1.3.1.4.2. 3.2 Manage application metrics with Stackdriver Monitoring:
1.3.1.4.3. 3.3 Manage Stackdriver Monitoring platform:
1.3.1.4.4. 3.4 Manage Stackdriver Logging platform:
1.3.1.4.5. 3.5 Implement logging and monitoring access controls:
1.3.1.5. 4. Optimizing service performance
1.3.1.5.1. 4.1 Identify service performance issues:
1.3.1.5.2. 4.2 Debug application code:
1.3.1.5.3. 4.3 Optimize resource utilization:
1.3.1.6. 5. Managing service incidents
1.3.1.6.1. 5.1 Coordinate roles and implement communication channels during a service incident:
1.3.1.6.2. 5.2 Investigate incident symptoms impacting users:
1.3.1.6.3. 5.3 Mitigate incident impact on users:
1.3.1.6.4. 5.4 Resolve issues (e.g., Cloud Build, Jenkins):
1.3.1.6.5. 5.5 Document issue in a postmortem:
1.3.2. Cloud Architect
1.3.2.1. Design and plan a cloud solution architecture
1.3.2.1.1. Designing a solution infrastructure that meets business requirements
1.3.2.1.2. Designing a solution infrastructure that meets technical requirements
1.3.2.1.3. Designing network, storage, and compute resources
1.3.2.1.4. Creating a migration plan (i.e., documents and architectural diagrams)
1.3.2.1.5. Envisioning future solution improvements
1.3.2.2. Manage and provision the cloud solution infrastructure
1.3.2.2.1. Configuring network topologies
1.3.2.2.2. Configuring individual storage systems
1.3.2.2.3. Configuring compute systems
1.3.2.3. Design for security and compliance
1.3.2.3.1. Designing for security
1.3.2.3.2. Designing for compliance
1.3.2.4. Analyze and optimize technical and business processes
1.3.2.4.1. Analyzing and defining technical processes
1.3.2.4.2. Analyzing and defining business processes
1.3.2.5. Manage implementations of cloud architecture
1.3.2.5.1. Advising development/operation team(s) to ensure successful deployment of the solution
1.3.2.5.2. Interacting with Google Cloud programmatically
1.3.2.6. Ensure solution and operations reliability
1.3.2.6.1. Monitoring/logging/profiling/alerting solution
1.3.2.6.2. Deployment and release management
1.3.2.6.3. Assisting with the support of deployed solutions
1.3.2.6.4. Evaluating quality control measures
1.3.3. Cloud Developer
1.3.3.1. Design highly scalable, available, and reliable cloud-native applications
1.3.3.2. Build and test applications
1.3.3.3. Deploy applications
1.3.3.4. Integrate Google Cloud services
1.3.4. Data Engineer
1.3.4.1. Design data processing systems
1.3.4.1.1. Selecting the appropriate storage technologies.
1.3.4.1.2. Designing data pipelines.
1.3.4.1.3. Designing a data processing solution
1.3.4.1.4. Migrating data warehousing and data processing
1.3.4.2. Build and operationalize data processing systems
1.3.4.2.1. Building and operationalizing storage systems
1.3.4.2.2. Building and operationalizing pipelines
1.3.4.2.3. Building and operationalizing processing infrastructure
1.3.4.3. Operationalize machine learning models
1.3.4.3.1. Leveraging pre-built ML models as a service
1.3.4.3.2. Deploying an ML pipeline
1.3.4.3.3. Choosing the appropriate training and serving infrastructure
1.3.4.3.4. Measuring, monitoring, and troubleshooting machine learning models
1.3.4.4. Ensure solution quality
1.3.4.4.1. Designing for security and compliance
1.3.4.4.2. Ensuring scalability and efficiency
1.3.4.4.3. Ensuring reliability and fidelity.
1.3.4.4.4. Ensuring flexibility and portability
1.3.5. Cloud Security Engineer
1.3.5.1. Configure access within a cloud solution environment
1.3.5.2. Configure network security
1.3.5.3. Ensure data protection
1.3.5.4. Manage operations within a cloud solution environment
1.3.5.5. Ensure compliance
1.3.6. Cloud Network Engineer
1.3.6.1. Design, plan, and prototype a GCP Network
1.3.6.2. Implement a GCP Virtual Private Cloud (VPC)
1.3.6.3. Configure network services
1.3.6.4. Implement hybrid interconnectivity
1.3.6.5. Implement network security
1.3.7. Collaboration Engineer
1.3.7.1. Plan and implement Google Workspace authorization and access
1.3.7.2. Manage user, resource, and Shared Drive lifecycles
1.3.7.3. Manage mail
1.3.7.4. Control and configure Google Workspace services
1.3.7.5. Configure and manage endpoint access
1.3.7.6. Monitor organizational operations
1.3.7.7. Advance Google Workspace adoption and collaboration
1.3.8. Machine Learning Engineer
1.3.8.1. Frame ML problems
1.3.8.2. Architect ML solutions
1.3.8.3. Design data preparation and processing systems
1.3.8.4. Develop ML models
1.3.8.5. Automate & orchestrate ML pipelines
1.3.8.6. Monitor, optimize, and maintain ML solutions
2. Azure
2.1. Foundational
2.1.1. Azure – Fundamentals Exam AZ-900
2.1.2. Azure AI – Fundamentals Exam AI-900
2.1.3. Azure Data – Fundamentals Exam DP-900
2.2. Associate
2.2.1. Azure Administrator – Associate Exam AZ-104
2.2.2. Azure Developer – Associate Exam AZ-204
2.2.2.1. Develop Azure compute solutions (25-30%)
2.2.2.2. Develop for Azure storage (15-20%)
2.2.2.3. Implement Azure security (20-25%)
2.2.2.4. Monitor, troubleshoot, and optimize Azure solutions (15-20%)
2.2.2.5. Connect to and consume Azure services and third-party services (15-20%)
2.2.3. Azure Security Engineer – Associate Exam AZ-500
2.2.4. Azure AI Engineer – Associate Exam AI-100
2.2.5. Azure Data Scientist – Associate Exam DP-100
2.2.6. Azure Data Engineer – Associate Exams DP-200 and DP-201
2.2.7. Azure Database Administrator – Associate Exam DP-300
2.3. Professional
2.3.1. Solutions Architect – Expert Exams AZ-303 and AZ-304
2.3.1.1. 303
2.3.1.1.1. Implement and monitor an Azure infrastructure (50-55%)
2.3.1.1.2. Implement management and security solutions (25-30%)
2.3.1.1.3. Implement solutions for apps (10-15%)
2.3.1.1.4. Implement and manage data platforms (10-15%)
2.3.1.2. 304
2.3.1.2.1. Design monitoring (10-15%)
2.3.1.2.2. Design identity and security (25-30%)
2.3.1.2.3. Design data storage (15-20%)
2.3.1.2.4. Design business continuity (10-15%)
2.3.1.2.5. Design infrastructure (25-30%)
2.3.2. Azure DevOps Engineer – Expert Exam AZ-400
2.3.2.1. Develop an Instrumentation Strategy (5-10%)
2.3.2.2. Develop a Site Reliability Engineering (SRE) strategy (5-10%)
2.3.2.3. Develop a security and compliance plan (10-15%)
2.3.2.4. Manage source control (10-15%)
2.3.2.5. Facilitate communication and collaboration (10-15%)
2.3.2.6. Define and implement continuous integration (20-25%)
2.3.2.7. Define and implement a continuous delivery and release management strategy (10-15%)
3. AWS
3.1. Foundational
3.1.1. AWS Certified Cloud Practitioner
3.2. Associate
3.2.1. AWS Certified Solutions Architect
3.2.1.1. Domain 1: Design Resilient Architectures 30%
3.2.1.1.1. 1.1 Design a multi-tier architecture solution
3.2.1.1.2. 1.2 Design highly available and/or fault-tolerant architectures
3.2.1.1.3. 1.3 Design decoupling mechanisms using AWS services
3.2.1.1.4. 1.4 Choose appropriate resilient storage
3.2.1.2. Domain 2: Design High-Performing Architectures 28%
3.2.1.3. Domain 3: Design Secure Applications and Architectures 24%
3.2.1.4. Domain 4: Design Cost-Optimized Architectures 18%
3.2.2. AWS Certified Developer
3.2.2.1. Domain 1: Deployment 22%
3.2.2.1.1. 1.1 Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns
3.2.2.1.2. 1.2 Deploy applications using Elastic Beanstalk
3.2.2.1.3. 1.3 Prepare the application deployment package to be deployed to AWS
3.2.2.1.4. 1.4 Deploy serverless applications
3.2.2.2. Domain 2: Security 26%
3.2.2.2.1. 2.1 Make authenticated calls to AWS services
3.2.2.2.2. 2.2 Implement encryption using AWS services
3.2.2.2.3. 2.3 Implement application authentication, and authorization
3.2.2.3. Domain 3: Development with AWS Services 30%
3.2.2.3.1. 3.1 Write code for serverless applications
3.2.2.3.2. 3.2 Translate functional requirements into application design
3.2.2.3.3. 3.3 Implement application design into application code
3.2.2.3.4. 3.4 Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI
3.2.2.4. Domain 4: Refactoring 10%
3.2.2.4.1. 4.1 Optimize application to best use AWS services and features
3.2.2.4.2. 4.2 Migrate existing application code to run on AWS
3.2.2.5. Domain 5: Monitoring and Troubleshooting 12%
3.2.2.5.1. 5.1 Write code that can be monitored
3.2.2.5.2. 5.2 Perform root cause analysis on faults found in testing or production
3.2.3. AWS Certified SysOps Administrator
3.2.3.1. Domain 1: Monitoring, Logging, and Remediation 20%
3.2.3.2. Domain 2: Reliability and Business Continuity 16%
3.2.3.3. Domain 3: Deployment, Provisioning, and Automation 18%
3.2.3.4. Domain 4: Security and Compliance 16%
3.2.3.5. Domain 5: Networking and Content Delivery 18%
3.2.3.6. Domain 6: Cost and Performance Optimization 12%
3.3. Professional
3.3.1. AWS Certified Solutions Architect
3.3.1.1. Domain 1: Design for Organizational Complexity
3.3.1.1.1. 1.1 Determine cross-account authentication and access strategy for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements)
3.3.1.1.2. 1.2 Determine how to design networks for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements)
3.3.1.1.3. 1.3 Determine how to design a multi-account AWS environment for complex organizations (for example, an organization with varying compliance requirements, multiple business units, and varying scalability requirements)
3.3.1.2. Domain 2: Design for New Solutions
3.3.1.2.1. 2.1 Determine security requirements and controls when designing and implementing a solution
3.3.1.2.2. 2.2 Determine a solution design and implementation strategy to meet reliability requirements
3.3.1.2.3. 2.3 Determine a solution design to ensure business continuity
3.3.1.2.4. 2.4 Determine a solution design to meet performance objectives
3.3.1.2.5. 2.5 Determine a deployment strategy to meet business requirements when designing and implementing a solution
3.3.1.3. Domain 3: Migration Planning
3.3.1.3.1. 3.1 Select existing workloads and processes for potential migration to the cloud
3.3.1.3.2. 3.2 Select migration tools and/or services for new and migrated solutions based on detailed AWS knowledge
3.3.1.3.3. 3.3 Determine a new cloud architecture for an existing solution
3.3.1.3.4. 3.4 Determine a strategy for migrating existing on-premises workloads to the cloud
3.3.1.4. Domain 4: Cost Control
3.3.1.4.1. 4.1 Select a cost-effective pricing model for a solution
3.3.1.4.2. 4.2 Determine which controls to design and implement that will ensure cost optimization
3.3.1.4.3. 4.3 Identify opportunities to reduce cost in an existing solution
3.3.1.5. Domain 5: Continuous Improvement for Existing Solutions
3.3.1.5.1. 5.1 Troubleshoot solution architectures
3.3.1.5.2. 5.2 Determine a strategy to improve an existing solution for operational excellence
3.3.1.5.3. 5.3 Determine a strategy to improve the reliability of an existing solution
3.3.1.5.4. 5.4 Determine a strategy to improve the performance of an existing solution
3.3.1.5.5. 5.5 Determine a strategy to improve the security of an existing solution
3.3.1.5.6. 5.6 Determine how to improve the deployment of an existing solution
3.3.2. AWS Certified DevOps Engineer
3.3.2.1. Domain 1: SDLC Automation 22%
3.3.2.2. Domain 2: Configuration Management and Infrastructure as Code 19%
3.3.2.3. Domain 3: Monitoring and Logging 15%
3.3.2.4. Domain 4: Policies and Standards Automation 10%
3.3.2.5. Domain 5: Incident and Event Response 18%
3.3.2.6. Domain 6: High Availability, Fault Tolerance, and Disaster Recovery 16%
3.4. Specialty
3.4.1. AWS Certified Security
3.4.2. AWS Certified Big Data
3.4.3. AWS Certified Advanced Networking
3.4.4. AWS Certified Machine Learning
3.4.5. AWS Certified Alexa Skill Builder