AWS AWS Certified Data Analytics Specialty
AWS DAS-C01 Practice Exam
80+ Questions with detailed explanations. Realistic timed simulation.
About this Exam
The AWS Certified Data Analytics Specialty (DAS-C01) validates expertise in designing, building, securing, and maintaining analytics solutions on AWS. This certification covers the entire data analytics lifecycle: collection using Kinesis Data Streams, Kinesis Data Firehose, and IoT Core; storage with S3, Redshift, and DynamoDB; processing using EMR, Glue, and Lambda; analysis with Athena, QuickSight, and OpenSearch; and visualization to deliver insights to stakeholders. The exam tests your ability to choose the right analytics service for a given scenario — when to use Redshift vs Athena, when to choose EMR vs Glue, and how to optimize query performance and cost. You will need deep understanding of data lake architecture patterns, ETL pipeline design, real-time streaming analytics, and data governance. Security topics include encryption, access control with Lake Formation, and cross-account data sharing. This certification is ideal for data engineers and analysts who architect end-to-end analytics solutions on AWS.
What You Will Learn
Exam Format
Passing Score
750 out of 1000
Questions
65 questions (50 scored, 15 unscored)
Time Limit
170 minutes
Format
Multiple choice and multiple response
Who Should Take This Exam
- Data engineers building analytics pipelines on AWS
- Data architects designing data lake and warehouse solutions
- Business intelligence developers using AWS analytics services
- Solutions architects specializing in data and analytics workloads
Recommended Prerequisites
- 5+ years of experience in data analytics with 2+ years on AWS
- Experience with AWS analytics services (Kinesis, Glue, Athena, Redshift, EMR)
- Understanding of data lake architecture and ETL pipeline design
- Familiarity with SQL and data modeling concepts
Exam Tips
Know the Kinesis family cold: Data Streams vs Firehose vs Analytics — when to use each and their scaling characteristics
Understand Glue components: crawlers, jobs, Data Catalog, and how they integrate with Athena and Redshift Spectrum
Study Redshift distribution styles (KEY, ALL, EVEN) and sort keys for query performance optimization
Learn S3 data partitioning strategies and how Athena query performance depends on partition design
Related Certifications
Exam Outline
Duration
170 Minutes
Questions
80+ Questions
Format
Multiple Choice
Safe & secure mock environment