BREAKING NEWS – AWS Certified Data Engineer Associate (DEA-C01)

AWS Certified Data Engineer Associate (DEA-C01)

Amazon Web Services (AWS) has announced a new certification for data professionals: The AWS Certified Data Engineer – Associate (DEA-C01) exam validates a candidate’s ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices. It also validates skills and knowledge in core data-related AWS services.

The AWS Certified Data Engineer – Associate exam will be available in beta from November 27, 2023 to January 12, 2024. Registration for the beta exam opens on October 31, 2023.

To earn the AWS Certified Data Engineer – Associate certification, candidates must have at least one year of experience designing, building, and maintaining data pipelines and solutions on AWS. If you are interested in using AWS technology to transform data for analysis and actionable insights, this beta exam offers you the opportunity to be one of the first to earn this new certification.

The AWS Certified Data Engineer – Associate certification is a valuable credential for data professionals who want to demonstrate their skills and knowledge in AWS data services and technologies. It is also a valuable asset for employers who are looking to hire qualified data engineers.

The exam also validates a candidate’s ability to complete the following tasks:

• Ingest and transform data, and orchestrate data pipelines while applying programming concepts.
• Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.
• Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality.
• Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.

Target candidate description:

The target candidate should have the equivalent of 2–3 years of experience in data engineering. The target candidate should understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. Additionally, the target candidate should have at least 1–2 years of hands-on experience with AWS services.

Content outline:

This exam guide includes weightings, content domains, and task statements for the exam. This guide does not provide a comprehensive list of the content on the exam. However, additional context for each task statement is available to help you prepare for the exam.

The exam has the following content domains and weightings:

• Domain 1: Data Ingestion and Transformation (34% of scored content)
• Domain 2: Data Store Management (26% of scored content)
• Domain 3: Data Operations and Support (22% of scored content)
• Domain 4: Data Security and Governance (18% of scored content)

Domain 1: Data Ingestion and Transformation

• Task Statement 1.1: Perform data ingestion
• Task Statement 1.2: Transform and process data
• Task Statement 1.3: Orchestrate data pipelines
• Task Statement 1.4: Apply programming concepts

Domain 2: Data Store Management

• Task Statement 2.1: Choose a data store
• Task Statement 2.2: Understand data cataloging systems
• Task Statement 2.3: Manage the lifecycle of data
• Task Statement 2.4: Design data models and schema evolution

Domain 3: Data Operations and Support

• Task Statement 3.1: Automate data processing by using AWS services
• Task Statement 3.2: Analyze data by using AWS services
• Task Statement 3.3: Maintain and monitor data pipelines
• Task Statement 3.4: Ensure data quality

Domain 4: Data Security and Governance

• Task Statement 4.1: Apply authentication mechanisms
• Task Statement 4.2: Apply authorization mechanisms
• Task Statement 4.3: Ensure data encryption and masking
• Task Statement 4.4: Prepare logs for audit
• Task Statement 4.5: Understand data privacy and governance

In-scope AWS services and features

The following list contains AWS services and features that are in scope for the exam.

This list is non-exhaustive and is subject to change. AWS offerings appear in categories that align with the offerings’ primary functions:

Analytics:

• Amazon Athena
• Amazon EMR
• AWS Glue
• AWS Glue DataBrew
• AWS Lake Formation
• Amazon Kinesis Data Analytics
• Amazon Kinesis Data Firehose
• Amazon Kinesis Data Streams
• Amazon Managed Streaming for Apache Kafka (Amazon MSK)
• Amazon OpenSearch Service
• Amazon QuickSight

Application Integration:

• Amazon AppFlow
• Amazon EventBridge
• Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
• Amazon Simple Notification Service (Amazon SNS)
• Amazon Simple Queue Service (Amazon SQS)
• AWS Step Functions

Cloud Financial Management:

• AWS Budgets
• AWS Cost Explorer

Compute:

• AWS Batch
• Amazon EC2
• AWS Lambda
• AWS Serverless Application Model (AWS SAM)

Containers:

• Amazon Elastic Container Registry (Amazon ECR)
• Amazon Elastic Container Service (Amazon ECS)
• Amazon Elastic Kubernetes Service (Amazon EKS)

Database:

• Amazon DocumentDB (with MongoDB compatibility)
• Amazon DynamoDB
• Amazon Keyspaces (for Apache Cassandra)
• Amazon MemoryDB for Redis
• Amazon Neptune
• Amazon RDS
• Amazon Redshift

Developer Tools:

• AWS CLI
• AWS Cloud9
• AWS Cloud Development Kit (AWS CDK)
• AWS CodeBuild
• AWS CodeCommit
• AWS CodeDeploy
• AWS CodePipeline

Frontend Web and Mobile:

• Amazon API Gateway

Machine Learning:

• Amazon SageMaker

Management and Governance:

• AWS CloudFormation
• AWS CloudTrail
• Amazon CloudWatch
• Amazon CloudWatch Logs
• AWS Config
• Amazon Managed Grafana
• AWS Systems Manager
• AWS Well-Architected Tool

Migration and Transfer:

• AWS Application Discovery Service
• AWS Application Migration Service
• AWS Database Migration Service (AWS DMS)
• AWS DataSync
• AWS Schema Conversion Tool (AWS SCT)
• AWS Snow Family
• AWS Transfer Family

Networking and Content Delivery:

• Amazon CloudFront
• AWS PrivateLink
• Amazon Route 53
• Amazon VPC

Security, Identity, and Compliance:

• AWS Identity and Access Management (IAM)
• AWS Key Management Service (AWS KMS)
• Amazon Macie
• AWS Secrets Manager
• AWS Shield
• AWS WAF

Storage:

• AWS Backup
• Amazon Elastic Block Store (Amazon EBS)
• Amazon Elastic File System (Amazon EFS)
• Amazon S3
• Amazon S3 Glacier

Out-of-scope AWS services and features:

The following list contains AWS services and features that are out of scope for the exam. This list is non-exhaustive and is subject to change. AWS offerings that are entirely unrelated to the target job roles for the exam are excluded from this list:

Analytics:

• Amazon FinSpace

Business Applications:

• Alexa for Business
• Amazon Chime
• Amazon Connect
• Amazon Honeycode
• AWS IQ
• Amazon WorkDocs
• Amazon WorkMail

Compute:

• AWS App Runner
• AWS Elastic Beanstalk
• Amazon Lightsail
• AWS Outposts
• AWS Serverless Application Repository

Containers:

• Red Hat OpenShift Service on AWS (ROSA)

Database:

• Amazon Timestream

Developer Tools:

• AWS Fault Injection Simulator (AWS FIS)
• AWS X-Ray

Frontend Web and Mobile:

• AWS Amplify
• AWS AppSync
• AWS Device Farm
• Amazon Location Service
• Amazon Pinpoint
• Amazon Simple Email Service (Amazon SES)

Internet of Things (IoT):

• FreeRTOS
• AWS IoT 1-Click
• AWS IoT Device Defender
• AWS IoT Device Management
• AWS IoT Events
• AWS IoT FleetWise
• AWS IoT RoboRunner
• AWS IoT SiteWise
• AWS IoT TwinMaker

Machine Learning:

• Amazon CodeWhisperer
• Amazon DevOps Guru

Management and Governance:

• AWS Activate
• AWS Managed Services (AMS)

Media Services:

• Amazon Elastic Transcoder
• AWS Elemental Appliances and Software
• AWS Elemental MediaConnect
• AWS Elemental MediaConvert
• AWS Elemental MediaLive
• AWS Elemental MediaPackage
• AWS Elemental MediaStore
• AWS Elemental MediaTailor
• Amazon Interactive Video Service (Amazon IVS)
• Amazon Nimble Studio

Migration and Transfer:

• AWS Mainframe Modernization
• AWS Migration Hub

Storage:

• EC2 Image Builder

Benefits of Earning the AWS Certified Data Engineer – Associate Certification

There are many benefits to earning the AWS Certified Data Engineer – Associate certification, including:

• Increased job prospects and earning potential. AWS Certified Data Engineers are in high demand, and they earn salaries that are well above average.
• Demonstrated skills and knowledge. The AWS Certified Data Engineer – Associate certification validates your skills and knowledge in AWS data services and technologies. This can help you stand out from the competition and land your dream job.
• Increased credibility and trust. AWS Certified Data Engineers are recognized for their expertise in AWS data services and technologies. This can help you build credibility and trust with your colleagues and clients.
• Professional development opportunities. AWS offers a variety of professional development opportunities for AWS Certified Data Engineers, such as training courses, webinars, and conferences. These opportunities can help you stay up-to-date on the latest AWS data services and technologies.