Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
Google Cloud / Google Cloud Developer, SRE, Security, Network, Data, and API Engineer
Google Cloud Engineering Specialist
Deepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.
Google role certification readinessSRE and security evidenceGoogle Cloud challenge labs
Start domain mock testPlatform-wide module outputs
Every module now feeds portfolio proof and CV readiness.
Portfolio pack
Requirement, artifact, validation, risk note, and interview story.
CV signal
Role-specific skill statement linked to a score or artifact.
Review queue
Submitted evidence can support dashboard, readiness, and career exports.
Open materials
Google Cloud Digital Leader foundation materialsLesson + portfolio pack + CV evidenceGoogle Cloud Generative AI Leader foundation materialsLesson + portfolio pack + CV evidenceGoogle Associate Cloud Engineer role bridgeLesson + portfolio pack + CV evidenceGoogle Professional Cloud DeveloperLesson + portfolio pack + CV evidenceGoogle Professional Cloud Developer role moduleLesson + portfolio pack + CV evidenceCloud Run Cloud Functions App Engine and API servicesLesson + portfolio pack + CV evidenceGoogle Professional Cloud DevOps Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Cloud DevOps SRE and SLO operationsLesson + portfolio pack + CV evidenceCloud Monitoring Logging Error Reporting and incident reviewLesson + portfolio pack + CV evidenceGoogle Professional Cloud Security Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Cloud Security Engineer identity and controlsLesson + portfolio pack + CV evidenceSecurity Command Center KMS secrets and audit logsLesson + portfolio pack + CV evidenceGoogle Professional Cloud Network Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Cloud Network Engineer hybrid and private connectivityLesson + portfolio pack + CV evidenceGoogle Professional Security Operations Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Professional Data Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Associate Data Practitioner role moduleLesson + portfolio pack + CV evidenceGoogle Professional Machine Learning Engineer role moduleLesson + portfolio pack + CV evidenceGoogle Cloud Database Engineer SQL Spanner Firestore and MemorystoreLesson + portfolio pack + CV evidenceApigee API management lifecycle security and analyticsLesson + portfolio pack + CV evidenceGoogle Workspace Administrator Associate role moduleLesson + portfolio pack + CV evidenceGoogle Workspace administration and Gemini productivityLesson + portfolio pack + CV evidenceGoogle Cloud cost governance organization policy and billingLesson + portfolio pack + CV evidenceGoogle Cloud engineering capstoneLesson + portfolio pack + CV evidence
Certification objective coverage
Every provider-aligned module is connected to a lesson, labs, mock questions, and implementation proof.
This is the track-level audit view for blueprint alignment. Exact exam wording should still be checked against the current official provider guide before public exam-code claims are made.
google-cloud-engineering-specialist.google-cloud-digital-leader-foundation-materials.01 / 4% weight
Apply Google Cloud Digital Leader foundation materials decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud Digital Leader foundation materials in plain language and explain the provider service family it belongs to.
- Show how Google Cloud Digital Leader foundation materials is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-generative-ai-leader-foundation-materials.02 / 4% weight
Apply Google Cloud Generative AI Leader foundation materials decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud Generative AI Leader foundation materials in plain language and explain the provider service family it belongs to.
- Show how Google Cloud Generative AI Leader foundation materials is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-associate-cloud-engineer-role-bridge.03 / 4% weight
Apply Google Associate Cloud Engineer role bridge decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Associate Cloud Engineer role bridge in plain language and explain the provider service family it belongs to.
- Show how Google Associate Cloud Engineer role bridge is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-cloud-developer.04 / 4% weight
Apply Google Professional Cloud Developer decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Cloud Developer in plain language and explain the provider service family it belongs to.
- Show how Google Professional Cloud Developer is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-cloud-developer-role-module.05 / 4% weight
Apply Google Professional Cloud Developer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Cloud Developer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Cloud Developer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.cloud-run-cloud-functions-app-engine-and-api-services.06 / 4% weight
Apply Cloud Run Cloud Functions App Engine and API services decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Cloud Run Cloud Functions App Engine and API services in plain language and explain the provider service family it belongs to.
- Show how Cloud Run Cloud Functions App Engine and API services is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-cloud-devops-engineer-role-module.07 / 4% weight
Apply Google Professional Cloud DevOps Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Cloud DevOps Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Cloud DevOps Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-devops-sre-and-slo-operations.08 / 4% weight
Apply Google Cloud DevOps SRE and SLO operations decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud DevOps SRE and SLO operations in plain language and explain the provider service family it belongs to.
- Show how Google Cloud DevOps SRE and SLO operations is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.cloud-monitoring-logging-error-reporting-and-incident-review.09 / 4% weight
Apply Cloud Monitoring Logging Error Reporting and incident review decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Cloud Monitoring Logging Error Reporting and incident review in plain language and explain the provider service family it belongs to.
- Show how Cloud Monitoring Logging Error Reporting and incident review is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-cloud-security-engineer-role-module.10 / 4% weight
Apply Google Professional Cloud Security Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Cloud Security Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Cloud Security Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-security-engineer-identity-and-controls.11 / 4% weight
Apply Google Cloud Security Engineer identity and controls decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud Security Engineer identity and controls in plain language and explain the provider service family it belongs to.
- Show how Google Cloud Security Engineer identity and controls is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.security-command-center-kms-secrets-and-audit-logs.12 / 4% weight
Apply Security Command Center KMS secrets and audit logs decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Security Command Center KMS secrets and audit logs in plain language and explain the provider service family it belongs to.
- Show how Security Command Center KMS secrets and audit logs is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-cloud-network-engineer-role-module.13 / 4% weight
Apply Google Professional Cloud Network Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Cloud Network Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Cloud Network Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-network-engineer-hybrid-and-private-connectivity.14 / 4% weight
Apply Google Cloud Network Engineer hybrid and private connectivity decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud Network Engineer hybrid and private connectivity in plain language and explain the provider service family it belongs to.
- Show how Google Cloud Network Engineer hybrid and private connectivity is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-security-operations-engineer-role-module.15 / 4% weight
Apply Google Professional Security Operations Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Security Operations Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Security Operations Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-data-engineer-role-module.16 / 4% weight
Apply Google Professional Data Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Data Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Data Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-associate-data-practitioner-role-module.17 / 4% weight
Apply Google Associate Data Practitioner role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Associate Data Practitioner role module in plain language and explain the provider service family it belongs to.
- Show how Google Associate Data Practitioner role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-professional-machine-learning-engineer-role-module.18 / 4% weight
Apply Google Professional Machine Learning Engineer role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Professional Machine Learning Engineer role module in plain language and explain the provider service family it belongs to.
- Show how Google Professional Machine Learning Engineer role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-database-engineer-sql-spanner-firestore-and-memorystore.19 / 4% weight
Apply Google Cloud Database Engineer SQL Spanner Firestore and Memorystore decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud Database Engineer SQL Spanner Firestore and Memorystore in plain language and explain the provider service family it belongs to.
- Show how Google Cloud Database Engineer SQL Spanner Firestore and Memorystore is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.apigee-api-management-lifecycle-security-and-analytics.20 / 4% weight
Apply Apigee API management lifecycle security and analytics decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Apigee API management lifecycle security and analytics in plain language and explain the provider service family it belongs to.
- Show how Apigee API management lifecycle security and analytics is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-workspace-administrator-associate-role-module.21 / 4% weight
Apply Google Workspace Administrator Associate role module decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Workspace Administrator Associate role module in plain language and explain the provider service family it belongs to.
- Show how Google Workspace Administrator Associate role module is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-workspace-administration-and-gemini-productivity.22 / 4% weight
Apply Google Workspace administration and Gemini productivity decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Workspace administration and Gemini productivity in plain language and explain the provider service family it belongs to.
- Show how Google Workspace administration and Gemini productivity is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-cost-governance-organization-policy-and-billing.23 / 4% weight
Apply Google Cloud cost governance organization policy and billing decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud cost governance organization policy and billing in plain language and explain the provider service family it belongs to.
- Show how Google Cloud cost governance organization policy and billing is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
google-cloud-engineering-specialist.google-cloud-engineering-capstone.24 / 8% weight
Apply Google Cloud engineering capstone decisions to Google Cloud Developer, SRE, Security, Network, Data, and API Engineer scenarios
Implementation proof
- Define Google Cloud engineering capstone in plain language and explain the provider service family it belongs to.
- Show how Google Cloud engineering capstone is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
Test readiness
Mock test by domain
Practice every domain in this track with exam-style questions, answer keys, and explanations.
Open mock testMost in-demand certification materials
High-value certificates connected to this track.
Google Cloud
Google Cloud foundational certification materials
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Learners who need Google Cloud business, generative AI, and associate cloud foundations before choosing professional role certifications.
Google Cloud foundational certification materials is mapped to platform lessons and labs, but still needs a dated official-source review.
- Google Cloud foundation map covering digital transformation, projects, IAM, billing, compute platforms, serverless APIs, storage, databases, data, AI, operations, networking, security, and cost
- Cloud Digital Leader and Generative AI Leader workbook with business outcomes, responsible AI, data readiness, cost, and collaboration scenarios
- Associate Cloud Engineer bridge checklist for projects, IAM, VPC, Compute Engine, Cloud Run, Cloud Functions, API Gateway, Pub/Sub, GKE, Cloud Storage, Persistent Disk, Cloud SQL, Firestore, BigQuery, Monitoring, Logging, and billing labels
Google Cloud
Google Cloud Developer, SRE, Security, Network, Database, Workspace, and Apigee readiness
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Google Cloud learners who need role-specific implementation evidence beyond Associate Cloud Engineer or architect-level design.
Google Cloud Developer, SRE, Security, Network, Database, Workspace, and Apigee readiness is mapped to platform lessons and labs, but still needs a dated official-source review.
- Google Cloud role map for developer, SRE, security, network, database, API, Workspace, and Gemini paths
- Challenge-lab evidence checklist for IAM, projects, VPC, logs, metrics, billing labels, and organization policy
- Google SRE, API, database, and security scenario workbook
Google Cloud / Google Workspace
Apigee, Workspace, and Gemini productivity readiness
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Teams connecting cloud engineering with API management, workspace administration, and AI productivity workflows.
Apigee, Workspace, and Gemini productivity readiness is mapped to platform lessons and labs, but still needs a dated official-source review.
- API product lifecycle and analytics evidence guide
- Workspace administration and Gemini workflow checklist
- Organization policy, billing, and governance review notes
Certification provider connections
Connect this learning path to the official exam provider.
Google Cloud Certification
Google Cloud foundational certification materials
Review the certification path, confirm the exam language and delivery option, then attach the target date to the learner study plan.
Booking partner: Google Cloud exam registration partner
- Create or confirm the Google Cloud certification profile.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
Google Cloud Certification
Google Cloud Developer, SRE, Security, Network, Database, Workspace, and Apigee readiness
Review the certification path, confirm the exam language and delivery option, then attach the target date to the learner study plan.
Booking partner: Google Cloud exam registration partner
- Create or confirm the Google Cloud certification profile.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
Google Cloud Certification
Apigee, Workspace, and Gemini productivity readiness
Review the certification path, confirm the exam language and delivery option, then attach the target date to the learner study plan.
Booking partner: Google Cloud exam registration partner
- Create or confirm the Google Cloud certification profile.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
01 Match
Map each Daskerel track to the official provider, exam code, registration page, and verification route.
02 Prepare
Use provider objectives with Daskerel lessons, mock exams, labs, and evidence packs before booking.
03 Book
Send learners to the official scheduling partner while keeping target dates and next actions in the dashboard.
04 Verify
Capture certificate URL, badge, expiry, renewal plan, and portfolio proof after the learner passes.
Study plan
Start with Google Cloud resource hierarchy, IAM, service accounts, projects, networking, billing, and logs because they appear across every role.
Practise role-specific evidence: SLOs, Cloud Monitoring signals, Security Command Center findings, network route state, database backups, and API analytics.
Use challenge-lab thinking: define the goal, implement with minimal guidance, validate state, and document what proves the result.
Hands-on labs
Deploy a Cloud Run service with IAM invoker control, environment settings, logs, revisions, health validation, and rollback notes.
Create an SRE evidence pack with SLO, error budget, monitoring signals, incident timeline, and post-incident improvement action.
Design a Google Cloud security baseline with IAM groups, service accounts, KMS, secrets, audit logs, Security Command Center-style findings, and response notes.
Create a hybrid network design with VPC, firewall rules, private access, Cloud DNS, VPN or Interconnect decision, and route evidence.
Design an Apigee-style API product with authentication, quotas, lifecycle, analytics, developer onboarding, and incident controls.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistGoogle Cloud Engineering Specialist
Weekly study plannerGoogle Cloud Engineering Specialist
Command and service cheat sheetGoogle Cloud Engineering Specialist
Architecture pattern cardsGoogle Cloud Engineering Specialist
Flashcard revision setGoogle Cloud Engineering Specialist
Mock exam review sheetGoogle Cloud Engineering Specialist
Lab evidence templateGoogle Cloud Engineering Specialist
Interview story builderGoogle Cloud Engineering Specialist
Portfolio project rubricGoogle Cloud Engineering Specialist
Final readiness checklistGoogle Cloud Engineering Specialist
Practice questions
What Google Cloud evidence appears across developer, SRE, security, and network roles?
Project structure, IAM and service accounts, VPC/firewall state, logs, metrics, audit events, billing labels, organization policy, and deployment validation appear across most roles.
Why should SLOs appear in a Google DevOps or SRE readiness module?
SLOs define the reliability target, error budget, alerting strategy, incident priority, and improvement decisions that separate SRE practice from general monitoring.