Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
Databricks / Snowflake / Microsoft Fabric / Google Cloud / AWS / Azure / Cloud Data Platform Engineer
Data Platform Certifications
Prepare for cloud data platform certifications across Databricks, Snowflake, Microsoft Fabric, AWS, Azure, Google Cloud, analytics engineering, governance, and ML platform foundations.
Data platform certification readinessLakehouse evidenceAnalytics engineering portfolio
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
Databricks Data Engineer AssociateLesson + portfolio pack + CV evidenceDatabricks Data Engineer ProfessionalLesson + portfolio pack + CV evidenceDatabricks Machine Learning AssociateLesson + portfolio pack + CV evidenceSnowflake SnowPro CoreLesson + portfolio pack + CV evidenceSnowflake SnowPro Advanced Data EngineerLesson + portfolio pack + CV evidenceMicrosoft Fabric Analytics Engineer DP-600Lesson + portfolio pack + CV evidenceMicrosoft Fabric Data Engineer DP-700Lesson + portfolio pack + CV evidenceAWS Data Engineer Associate DEA-C01Lesson + portfolio pack + CV evidenceAzure Data Engineer Associate DP-203Lesson + portfolio pack + CV evidenceGoogle Professional Data EngineerLesson + portfolio pack + CV evidenceData governance catalog lineage and qualityLesson + portfolio pack + CV evidenceData platform certification 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.
data-platform-certifications.databricks-data-engineer-associate.01 / 8% weight
Apply Databricks Data Engineer Associate decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Databricks Data Engineer Associate in plain language and explain the provider service family it belongs to.
- Show how Databricks Data Engineer Associate 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
data-platform-certifications.databricks-data-engineer-professional.02 / 8% weight
Apply Databricks Data Engineer Professional decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Databricks Data Engineer Professional in plain language and explain the provider service family it belongs to.
- Show how Databricks Data Engineer Professional 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
data-platform-certifications.databricks-machine-learning-associate.03 / 8% weight
Apply Databricks Machine Learning Associate decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Databricks Machine Learning Associate in plain language and explain the provider service family it belongs to.
- Show how Databricks Machine Learning Associate 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
data-platform-certifications.snowflake-snowpro-core.04 / 8% weight
Apply Snowflake SnowPro Core decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Snowflake SnowPro Core in plain language and explain the provider service family it belongs to.
- Show how Snowflake SnowPro Core 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
data-platform-certifications.snowflake-snowpro-advanced-data-engineer.05 / 8% weight
Apply Snowflake SnowPro Advanced Data Engineer decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Snowflake SnowPro Advanced Data Engineer in plain language and explain the provider service family it belongs to.
- Show how Snowflake SnowPro Advanced Data Engineer 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
data-platform-certifications.microsoft-fabric-analytics-engineer-dp-600.06 / 8% weight
Apply Microsoft Fabric Analytics Engineer DP-600 decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Microsoft Fabric Analytics Engineer DP-600 in plain language and explain the provider service family it belongs to.
- Show how Microsoft Fabric Analytics Engineer DP-600 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
data-platform-certifications.microsoft-fabric-data-engineer-dp-700.07 / 8% weight
Apply Microsoft Fabric Data Engineer DP-700 decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Microsoft Fabric Data Engineer DP-700 in plain language and explain the provider service family it belongs to.
- Show how Microsoft Fabric Data Engineer DP-700 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
data-platform-certifications.aws-data-engineer-associate-dea-c01.08 / 8% weight
Apply AWS Data Engineer Associate DEA-C01 decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define AWS Data Engineer Associate DEA-C01 in plain language and explain the provider service family it belongs to.
- Show how AWS Data Engineer Associate DEA-C01 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
data-platform-certifications.azure-data-engineer-associate-dp-203.09 / 8% weight
Apply Azure Data Engineer Associate DP-203 decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Azure Data Engineer Associate DP-203 in plain language and explain the provider service family it belongs to.
- Show how Azure Data Engineer Associate DP-203 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
data-platform-certifications.google-professional-data-engineer.10 / 8% weight
Apply Google Professional Data Engineer decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Google Professional Data Engineer in plain language and explain the provider service family it belongs to.
- Show how Google Professional Data Engineer 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
data-platform-certifications.data-governance-catalog-lineage-and-quality.11 / 8% weight
Apply Data governance catalog lineage and quality decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Data governance catalog lineage and quality in plain language and explain the provider service family it belongs to.
- Show how Data governance catalog lineage and quality 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
data-platform-certifications.data-platform-certification-capstone.12 / 12% weight
Apply Data platform certification capstone decisions to Cloud Data Platform Engineer scenarios
Implementation proof
- Define Data platform certification capstone in plain language and explain the provider service family it belongs to.
- Show how Data platform certification 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.
Databricks / Snowflake / Microsoft / AWS / Azure / Google Cloud
Cloud data platform certification family
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Data engineers, analytics engineers, BI engineers, and ML platform learners proving lakehouse, warehouse, governance, pipeline, and stakeholder reporting skill.
Cloud data platform certification family is mapped to platform lessons and labs, but still needs a dated official-source review.
- Databricks, Snowflake, Fabric, AWS, Azure, and Google data certification comparison matrix
- Lakehouse, warehouse, pipeline, governance, lineage, quality, performance, and cost evidence checklist
- Analytics engineering and stakeholder reporting portfolio rubric
Certification provider connections
Connect this learning path to the official exam provider.
AWS Certification
Cloud data platform certification family
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
Start with SQL, data modeling, file formats, lakehouse concepts, orchestration, data quality, and access governance.
Compare Databricks, Snowflake, Fabric, BigQuery, Redshift, Synapse, Glue, Dataflow, and managed pipeline services by workload.
Build portfolio evidence around ingestion, transformation, testing, lineage, governance, performance, cost, and stakeholder reporting.
Hands-on labs
Create a lakehouse architecture with bronze, silver, gold zones, catalog, lineage, quality checks, and cost notes.
Build a Databricks or Spark-style pipeline with notebook, job, Delta-style table design, validation, and monitoring evidence.
Create a Snowflake warehouse design with roles, databases, schemas, stages, tasks, streams, performance, and cost controls.
Create a Fabric evidence pack with lakehouse, warehouse, semantic model, pipeline, Power BI report, governance, and deployment notes.
Compare AWS, Azure, and Google data services for ingestion, transformation, storage, governance, analytics, ML, and operations.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistData Platform Certifications
Weekly study plannerData Platform Certifications
Command and service cheat sheetData Platform Certifications
Architecture pattern cardsData Platform Certifications
Flashcard revision setData Platform Certifications
Mock exam review sheetData Platform Certifications
Lab evidence templateData Platform Certifications
Interview story builderData Platform Certifications
Portfolio project rubricData Platform Certifications
Final readiness checklistData Platform Certifications
Practice questions
What evidence proves data platform readiness?
Pipeline code or notebook, data quality checks, lineage, access model, orchestration, monitoring, performance notes, cost notes, and stakeholder-facing output.
Why should data certifications include governance and cost?
Data platforms can expose sensitive data and generate large compute/storage spend, so governance and cost controls are core operational skills.