Cert Notes/ Commute Study Notes
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KOEN
CLF-C02 · FoundationalCloud Practitioner - Foundational
DVA-C02 · AssociateDeveloper - Associate
SAA-C03 · AssociateSolutions Architect - Associate
SOA-C02 · AssociateCloudOps Engineer - Associate
SAP-C02 · ProfessionalSolutions Architect - Professional
DOP-C02 · ProfessionalDevOps Engineer - Professional
SCS-C03 · SpecialtySecurity - Specialty
MLA-C01 · AssociateMachine Learning Engineer - Associate
AIF-C01 · FoundationalAI Practitioner - Foundational
DEA-C01 · AssociateData Engineer - Associate
  • Week 1
    • 1.What Is Data Engineering
    • 2.Batch vs Streaming
    • 3.A Bird's-Eye View of AWS Data Services
    • 4.Data Formats and Modeling
    • 5.Week 1 Comprehensive Review
  • Week 2
    • 1.Batch Ingestion: S3 Upload, DataSync, Transfer Family, Snow
    • 2.Kinesis Data Streams: Shards, Partition Keys, and Throughput
    • 3.Kinesis Data Firehose: Delivery Streams and Loading
    • 4.Amazon MSK (Kafka): Topics, Partitions, and When to Use What
    • 5.Week 2 Synthesis: Data Ingestion Part 1 Review
  • Week 3
    • 1.Streaming Processing: Managed Service for Apache Flink and Window Aggregation
    • 2.Ingestion Reliability: Idempotency, Ordering, Retries, Deduplication, DLQ
    • 3.CDC and Data Replication: Database Migration Service (DMS)
    • 4.Ingestion Architecture Patterns: Lambda Architecture and Event-Driven Ingestion
    • 5.Week 3 Synthesis: Data Ingestion Part 2 Review
  • Week 4
    • 1.Glue Data Catalog and Crawlers: Adding Metadata to Data
    • 2.Glue ETL Job: Transform Data on Spark
    • 3.Glue Studio and DataBrew: Transform Without Code
    • 4.Schema Management and Data Quality: Tolerate Evolution, Guarantee Trust
    • 5.Week 4 Synthesis: The Big Picture of AWS Glue Transformation
  • Week 5
    • 1.Amazon EMR: Spark, Hive and Cluster Operations, Plus EMR Serverless
    • 2.Lambda Transformation and Lightweight Processing: Event-Driven ETL's Limits and Fit
    • 3.Orchestration: Step Functions, MWAA, and Glue Workflows Selection Criteria
    • 4.Performance and Cost Optimization: File Format, Compression, Partitioning, and Small File Problem
    • 5.Week 5 Synthesis: Data Transformation 2 — Engines, Orchestration, Optimization Integration Review
  • Week 6
    • 1.S3 Data Lake Layout and Partitioning Strategy
    • 2.AWS Lake Formation Central Permission Management
    • 3.Open Table Formats: Iceberg, Hudi, Delta Lake
    • 4.S3 Storage Management and Cost Optimization
    • 5.Week 6 Comprehensive Review: Data Lake Recap
  • Week 7
    • 1.Amazon Redshift: Distribution and Sort Keys and Workload Optimization
    • 2.Amazon Athena: Serverless Queries and Cost Optimization
    • 3.DynamoDB (Analytics Perspective): Key Design and Stream-Based Pipelines
    • 4.RDS/Aurora and Store Selection: OLTP, Zero-ETL, Workload-to-Store Decision
    • 5.Week 7 Comprehensive Review: Analytics Stores Recap
  • Week 8
    • 1.Pipeline Monitoring: CloudWatch Metrics, Logs, and Alarms
    • 2.Data Quality and Validation: Glue Data Quality and Quality Gates
    • 3.Logging, Audit, and Troubleshooting: CloudTrail and Failure Recovery
    • 4.Cost and Performance Operations: Monitoring, Sizing, Auto Scaling
    • 5.Week 8 Comprehensive Review: Data Operations and Support Recap
  • Week 9
    • 1.Access Control: IAM and Lake Formation Permissions
    • 2.Encryption: KMS and Service-Specific Encryption
    • 3.Sensitive Data Protection: Macie and Masking
    • 4.Data Governance: Catalog, Lineage, Sharing, Auditing
    • 5.Week 9 Synthesis: Security and Governance Review
  • Week 10
    • 1.Integrated Review of Domains 1 & 2: Ingestion, Transformation & Storage Management
    • 2.Integrated Review of Domains 3 & 4: Operations & Support, Security & Governance
    • 3.Full-Length Practice Exam Pace: 8 Integrated Scenarios
    • 4.Common Traps & Keywords: "Requirement → Service" Translation Guide
    • 5.Final D-Day Prep: Exam Structure, Time Management & Scenario Breakdown Strategy
MLS-C01 · SpecialtyMachine Learning - Specialty
← All certifications/DEA-C01

Data Engineer - Associate

10 weeks · 50 days · Associate

Week 1 is available in English as a free preview. The full course is currently Korean-only — view the Korean track.

Start with Week 1

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Exam Information

중급 · 관련 실무 1~2년 권장
Questions
65
Duration
130min
Passing
720 / 1000
Cost
$150
Validity
3y

Domain Weights

데이터 수집 및 변환34%
데이터 스토어 관리26%
데이터 운영 및 지원22%
데이터 보안 및 거버넌스18%
Format객관식·복수응답
Prerequisites없음(권장: 데이터 엔지니어링 2~3년, AWS 1~2년 경험)
Languages영어, 한국어, 일본어, 중국어 간체

Benefits & Tips

  • 합격하면 다음 시험 50% 할인 바우처가 생깁니다. AWS Certification 계정의 "Benefits"에서 확인하고 재인증·다른 자격증 응시에 쓸 수 있어요(만료일이 있으니 그 전에 사용).
  • 인증은 3년간 유효하며 만료 전 재인증이 필요합니다. 재인증 때도 이 50% 바우처를 쓸 수 있어요.
  • 무료 재응시는 없습니다(매 응시 전액 결제). 첫 시도에 붙는 게 가장 저렴하니, 모의고사로 합격선을 넘긴 뒤 응시하세요.
  • 합격하면 Credly 디지털 배지가 발급돼 링크드인·이메일 서명에 붙일 수 있습니다.

FAQ

DEA-C01 시험은 몇 문항이고 시험 시간은 얼마나 되나요?+

DEA-C01은 총 65문항이며, 시험 시간은 130분입니다. 문항은 객관식과 복수응답형으로 출제됩니다.

합격 점수는 몇 점인가요?+

1000점 만점에 720점 이상이면 합격입니다. 점수는 문항 난이도를 보정한 스케일 점수라 단순 정답률과는 다릅니다.

응시료는 얼마이고 어떻게 접수하나요?+

응시료는 미화 $150이며, Pearson VUE를 통해 시험 센터 또는 온라인 감독(프록터드) 시험으로 응시할 수 있습니다. 무료 재응시는 없어 매 응시마다 전액을 결제합니다.

자격증은 얼마나 유효한가요? 재인증은 어떻게 하나요?+

합격 후 3년간 유효하며, 만료 전 재인증이 필요합니다. 합격 시 다음 시험 50% 할인 바우처가 제공되어 재인증이나 다른 AWS 자격증 응시에 사용할 수 있습니다.

한국어로 응시할 수 있나요?+

네, 한국어를 포함해 총 4개 언어로 제공됩니다. 시험 등록 시 언어를 선택할 수 있습니다.

Official Exam Guide Register for Exam

Week 1

  • Day 1What Is Data Engineering
  • Day 2Batch vs Streaming
  • Day 3A Bird's-Eye View of AWS Data Services
  • Day 4Data Formats and Modeling
  • Day 5Week 1 Comprehensive Review

Week 2

  • Day 1Batch Ingestion: S3 Upload, DataSync, Transfer Family, Snow
  • Day 2Kinesis Data Streams: Shards, Partition Keys, and Throughput
  • Day 3Kinesis Data Firehose: Delivery Streams and Loading
  • Day 4Amazon MSK (Kafka): Topics, Partitions, and When to Use What
  • Day 5Week 2 Synthesis: Data Ingestion Part 1 Review

Week 3

  • Day 1Streaming Processing: Managed Service for Apache Flink and Window Aggregation
  • Day 2Ingestion Reliability: Idempotency, Ordering, Retries, Deduplication, DLQ
  • Day 3CDC and Data Replication: Database Migration Service (DMS)
  • Day 4Ingestion Architecture Patterns: Lambda Architecture and Event-Driven Ingestion
  • Day 5Week 3 Synthesis: Data Ingestion Part 2 Review

Week 4

  • Day 1Glue Data Catalog and Crawlers: Adding Metadata to Data
  • Day 2Glue ETL Job: Transform Data on Spark
  • Day 3Glue Studio and DataBrew: Transform Without Code
  • Day 4Schema Management and Data Quality: Tolerate Evolution, Guarantee Trust
  • Day 5Week 4 Synthesis: The Big Picture of AWS Glue Transformation

Week 5

  • Day 1Amazon EMR: Spark, Hive and Cluster Operations, Plus EMR Serverless
  • Day 2Lambda Transformation and Lightweight Processing: Event-Driven ETL's Limits and Fit
  • Day 3Orchestration: Step Functions, MWAA, and Glue Workflows Selection Criteria
  • Day 4Performance and Cost Optimization: File Format, Compression, Partitioning, and Small File Problem
  • Day 5Week 5 Synthesis: Data Transformation 2 — Engines, Orchestration, Optimization Integration Review

Week 6

  • Day 1S3 Data Lake Layout and Partitioning Strategy
  • Day 2AWS Lake Formation Central Permission Management
  • Day 3Open Table Formats: Iceberg, Hudi, Delta Lake
  • Day 4S3 Storage Management and Cost Optimization
  • Day 5Week 6 Comprehensive Review: Data Lake Recap

Week 7

  • Day 1Amazon Redshift: Distribution and Sort Keys and Workload Optimization
  • Day 2Amazon Athena: Serverless Queries and Cost Optimization
  • Day 3DynamoDB (Analytics Perspective): Key Design and Stream-Based Pipelines
  • Day 4RDS/Aurora and Store Selection: OLTP, Zero-ETL, Workload-to-Store Decision
  • Day 5Week 7 Comprehensive Review: Analytics Stores Recap

Week 8

  • Day 1Pipeline Monitoring: CloudWatch Metrics, Logs, and Alarms
  • Day 2Data Quality and Validation: Glue Data Quality and Quality Gates
  • Day 3Logging, Audit, and Troubleshooting: CloudTrail and Failure Recovery
  • Day 4Cost and Performance Operations: Monitoring, Sizing, Auto Scaling
  • Day 5Week 8 Comprehensive Review: Data Operations and Support Recap

Week 9

  • Day 1Access Control: IAM and Lake Formation Permissions
  • Day 2Encryption: KMS and Service-Specific Encryption
  • Day 3Sensitive Data Protection: Macie and Masking
  • Day 4Data Governance: Catalog, Lineage, Sharing, Auditing
  • Day 5Week 9 Synthesis: Security and Governance Review

Week 10

  • Day 1Integrated Review of Domains 1 & 2: Ingestion, Transformation & Storage Management
  • Day 2Integrated Review of Domains 3 & 4: Operations & Support, Security & Governance
  • Day 3Full-Length Practice Exam Pace: 8 Integrated Scenarios
  • Day 4Common Traps & Keywords: "Requirement → Service" Translation Guide
  • Day 5Final D-Day Prep: Exam Structure, Time Management & Scenario Breakdown Strategy