Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
AWS / Azure / Google Cloud / Snowflake / Cloud Data Engineer
Cloud Data Engineer
Design cloud data platforms with ingestion, storage zones, Spark, streaming, warehouses, orchestration, data quality, governance, privacy, and cost controls.
Cloud data platform designBatch and streaming lab evidenceData governance readiness
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
Cloud data platform foundationsLesson + portfolio pack + CV evidenceData lake and lakehouse zonesLesson + portfolio pack + CV evidenceBatch ingestion and orchestrationLesson + portfolio pack + CV evidenceStreaming with Kafka Pub/Sub Kinesis and Event HubsLesson + portfolio pack + CV evidenceSpark distributed processingLesson + portfolio pack + CV evidenceCloud warehouses and semantic layersLesson + portfolio pack + CV evidenceData quality lineage and governanceLesson + portfolio pack + CV evidencePrivacy retention and data cost controlLesson + 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.
cloud-data-engineer.cloud-data-platform-foundations.01 / 13% weight
Apply Cloud data platform foundations decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Cloud data platform foundations in plain language and explain the provider service family it belongs to.
- Show how Cloud data platform foundations 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
cloud-data-engineer.data-lake-and-lakehouse-zones.02 / 13% weight
Apply Data lake and lakehouse zones decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Data lake and lakehouse zones in plain language and explain the provider service family it belongs to.
- Show how Data lake and lakehouse zones 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
cloud-data-engineer.batch-ingestion-and-orchestration.03 / 13% weight
Apply Batch ingestion and orchestration decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Batch ingestion and orchestration in plain language and explain the provider service family it belongs to.
- Show how Batch ingestion and orchestration 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
cloud-data-engineer.streaming-with-kafka-pub-sub-kinesis-and-event-hubs.04 / 13% weight
Apply Streaming with Kafka Pub/Sub Kinesis and Event Hubs decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Streaming with Kafka Pub/Sub Kinesis and Event Hubs in plain language and explain the provider service family it belongs to.
- Show how Streaming with Kafka Pub/Sub Kinesis and Event Hubs 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
cloud-data-engineer.spark-distributed-processing.05 / 13% weight
Apply Spark distributed processing decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Spark distributed processing in plain language and explain the provider service family it belongs to.
- Show how Spark distributed processing 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
cloud-data-engineer.cloud-warehouses-and-semantic-layers.06 / 13% weight
Apply Cloud warehouses and semantic layers decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Cloud warehouses and semantic layers in plain language and explain the provider service family it belongs to.
- Show how Cloud warehouses and semantic layers 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
cloud-data-engineer.data-quality-lineage-and-governance.07 / 13% weight
Apply Data quality lineage and governance decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Data quality lineage and governance in plain language and explain the provider service family it belongs to.
- Show how Data quality lineage and governance 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
cloud-data-engineer.privacy-retention-and-data-cost-control.08 / 9% weight
Apply Privacy retention and data cost control decisions to Cloud Data Engineer scenarios
Implementation proof
- Define Privacy retention and data cost control in plain language and explain the provider service family it belongs to.
- Show how Privacy retention and data cost control 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.
CompTIA
CompTIA Security+
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Entry security, cloud security fundamentals, and broad IT baseline roles.
CompTIA Security+ is mapped to platform lessons and labs, but still needs a dated official-source review.
- Security terminology flashcards
- Risk, identity, encryption, network, and incident-response checklist
- Scenario questions covering least privilege, logging, malware, and secure operations
AWS
AWS Certified Cloud Practitioner (CLF-C02)
CurrentLast verified: 2026-06-24Next review: 2026-09-22
Beginners and career switchers who need cloud concepts, pricing, shared responsibility, global infrastructure, and core AWS service literacy.
CLF-C02 was verified against the official AWS certification page on 2026-06-24. Keep this source check on the 90-day review cadence.
AWS official-source stamp
Foundational / CLF-C02
Official domain weighting
Cloud Concepts24%
Security and Compliance30%
Cloud Technology and Services34%
Billing, Pricing, and Support12%
Lab focus
- Service-family mapping
- Shared responsibility
- IAM baseline
- Billing and support signals
Readiness gates
- Foundation lessons complete
- Core AWS service map complete
- Billing/security quiz passed
- Cleanup evidence captured
- Cloud concepts, global infrastructure, billing, support, and shared-responsibility notes
- AWS compute, storage, database, networking, security, monitoring, and pricing service map
- Foundation scenario drills for service selection, cost awareness, and cloud adoption
PeopleCert / ITIL
ITIL Foundation Version 5
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Support, operations, service desk, cloud operations, and team-lead learners who need service value, incident, change, SLA, and continual improvement fluency.
ITIL Foundation Version 5 is mapped to platform lessons and labs, but still needs a dated official-source review.
- Service value system, value chain, guiding principles, and practice vocabulary map
- Incident, problem, change, request, service level, knowledge, and continual improvement drills
- Service review evidence pack with tickets, SLA metrics, improvement actions, and stakeholder communication
GitHub
GitHub Foundations
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Software, DevOps, cloud, data, and AI learners proving repository workflow, collaboration, issues, pull requests, and portfolio evidence.
GitHub Foundations is mapped to platform lessons and labs, but still needs a dated official-source review.
- Repository, commit, branch, pull request, issue, release, and project-board checklist
- Code review, branch protection, README, and portfolio repository quality rubric
- Workflow scenario drills for collaboration, review, release notes, and change history
Google Skillshop
Google Analytics Certification
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Design, marketing, product, and business learners who need GA4 events, conversions, audiences, acquisition, and reporting fluency.
Google Analytics Certification is mapped to platform lessons and labs, but still needs a dated official-source review.
- GA4 event, conversion, UTM, audience, report, and attribution vocabulary map
- Measurement plan and dashboard checklist for websites, campaigns, and landing pages
- Optimization scenario drills connecting traffic, conversion, content, and campaign decisions
Certification provider connections
Connect this learning path to the official exam provider.
AWS Certification
CompTIA Security+
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- 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.
AWS Certification
AWS Certified Cloud Practitioner (CLF-C02)
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- 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.
AWS Certification
ITIL Foundation Version 5
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- 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.
AWS Certification
GitHub Foundations
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- 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.
AWS Certification
Google Analytics Certification
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- 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
Learn the full data lifecycle from source ingestion to raw, staged, curated, warehouse, dashboard, ML, retention, and deletion.
Practise both batch and streaming pipeline patterns so learners can choose the right design for freshness, volume, and reliability.
Connect every dataset to quality checks, lineage, owner, access model, privacy rules, monitoring, and cost controls.
Hands-on labs
Design a cloud data lakehouse with raw, staged, curated, warehouse, and analytics-ready zones.
Build a batch pipeline plan with ingestion, validation, transformation, orchestration, and alerting evidence.
Create a streaming architecture comparing Kafka, Pub/Sub, Kinesis, and Event Hubs for telemetry events.
Write a governance checklist for lineage, data quality, retention, access, privacy, and cost.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistCloud Data Engineer
Weekly study plannerCloud Data Engineer
Command and service cheat sheetCloud Data Engineer
Architecture pattern cardsCloud Data Engineer
Flashcard revision setCloud Data Engineer
Mock exam review sheetCloud Data Engineer
Lab evidence templateCloud Data Engineer
Interview story builderCloud Data Engineer
Portfolio project rubricCloud Data Engineer
Final readiness checklistCloud Data Engineer
Practice questions
Why should data engineering pipelines include quality checks?
Quality checks catch schema drift, missing data, duplicates, invalid values, and freshness issues before bad data reaches reports, ML models, or business decisions.
When is streaming usually preferred over batch processing?
Streaming is preferred when events must be processed continuously or near real time, such as fraud signals, telemetry, alerts, and operational dashboards.