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AWS DAS-C01 Exam Guide 2026 – Data Analytics Specialty

AWS Certified Data Analytics – Specialty (DAS-C01) certification validates your expertise in designing, building, securing, and maintaining analytics solutions on AWS. This 2026 guide covers exam details, skills measured, and preparation strategy.


What Is DAS-C01?

DAS-C01 evaluates your ability to design and operate scalable, secure, and cost-effective data analytics solutions using AWS services.

  • Exam code: DAS-C01
  • Duration: ~180 minutes
  • Question types: Multiple-choice, multiple-response, scenario-based
  • Difficulty: Specialty
  • Prerequisites: Strong data analytics & AWS experience

DAS-C01 Skills Measured (Latest Blueprint)

1. Collection (18–22%)

  • Design data ingestion solutions
  • Collect streaming and batch data
  • Select appropriate AWS data collection services

2. Storage and Data Management (22–26%)

  • Design data lakes and data warehouses
  • Manage structured and unstructured data
  • Optimize data storage formats and lifecycle

3. Processing (24–28%)

  • Process data using batch and stream processing
  • Use AWS analytics engines efficiently
  • Optimize data processing performance

4. Analysis and Visualization (18–22%)

  • Analyze data using AWS analytics tools
  • Design dashboards and reports
  • Enable self-service analytics

5. Security (10–12%)

  • Secure data at rest and in transit
  • Implement access control and auditing
  • Apply AWS compliance best practices

Key DAS-C01 Concepts Explained

Data Lake vs Data Warehouse

  • Data Lake: Stores raw, structured, and unstructured data (Amazon S3)
  • Data Warehouse: Optimized for analytics and reporting (Amazon Redshift)

Streaming vs Batch Processing

Streaming processes data in real time using services like Kinesis, while batch processing analyzes large datasets at scheduled intervals.


Sample DAS-C01 Questions with Explanation

Question 1: Which AWS service is best suited for building a fully managed data warehouse?

  • A. Amazon RDS
  • B. Amazon Athena
  • C. Amazon Redshift ✅
  • D. Amazon DynamoDB

Explanation: Amazon Redshift is a fully managed, petabyte-scale data warehouse optimized for analytics workloads.

Question 2: Which AWS service allows you to analyze data directly in Amazon S3 using SQL?

  • A. Amazon EMR
  • B. Amazon Redshift
  • C. Amazon Athena ✅
  • D. AWS Glue

Explanation: Amazon Athena is a serverless interactive query service that enables SQL queries directly on data stored in Amazon S3.

Question 3: Which AWS service is primarily used to build, run, and manage ETL jobs?

  • A. Amazon Kinesis
  • B. AWS Glue ✅
  • C. Amazon QuickSight
  • D. AWS Lambda

Explanation: AWS Glue is a fully managed ETL service that prepares and transforms data for analytics.

Question 4: Which AWS service is used for real-time data streaming and ingestion?

  • A. Amazon SQS
  • B. Amazon SNS
  • C. Amazon Kinesis Data Streams ✅
  • D. Amazon EventBridge

Explanation: Amazon Kinesis Data Streams enables real-time ingestion and processing of streaming data at scale.

Question 5: Which AWS service is used to visualize and share business intelligence dashboards?

  • A. Amazon Redshift
  • B. Amazon Athena
  • C. Amazon QuickSight ✅
  • D. AWS Glue

Explanation: Amazon QuickSight is AWS’s business intelligence service for creating interactive dashboards and visualizations.

Download/Practice full AWS DAS-C01 exam questions..


How to Prepare for DAS-C01

  1. Understand AWS data analytics architecture
  2. Practice data lake and warehouse design
  3. Master Glue, Athena, Redshift, and Kinesis
  4. Attempt DAS-C01 mock exams
  5. Review AWS analytics whitepapers

Why Prepare DAS-C01 with ClearCatNet

  • ✅ Updated DAS-C01 exam content (2026)
  • ✅ Real-world analytics scenarios
  • ✅ Clear explanations for complex pipelines
  • ✅ Trusted by AWS professionals worldwide

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AWS DAS-C01 Exam Dumps FAQs

This exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It validates an examinee's ability to: Define AWS data analytics services and understand how they integrate with each other.

The AWS Certified Data Analytics - Specialty (DAS-C01) exam validates advanced expertise in designing, building, and managing data analytics solutions on AWS. It focuses on data collection, storage, processing, analysis, and visualization. Experience with AWS data services and security best practices is recommended.

Clearcatnet are always keep prep exam material up-to-date by considering the all freqent changes in exam skills measured and provide immense view of questions & answers along with explnataions note and reference links for the same to clear any doubt/clarifications about particualr questions or topic. In a such way, we make you confident for a best preparations & practices so that you can prepare fully and ready to take your exam to ensure your success in FIRST ATTEMPT ONLY!

The format of the AWS Certified Data Analytics - Specialty (DAS-C01) certification exam is as follows:

  • Type: Multiple-choice and multiple-response questions
  • Number of Questions: 65 questions
  • Duration: 180 minutes (3 hours)
  • Passing Score: 750 out of 1000 points
  • Delivery Method: Available in a testing center or online proctoring

Your results for the examination are reported as a score from 100–1,000, with a minimum passing score of 750.

The AWS Certified Data Analytics - Specialty (DAS-C01) certification is valid for three years. After this period, certified individuals need to renew their certification by either taking the current version of the exam or by meeting specific continuing education requirements set by AWS.

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The AWS DAS-C01 Certified Data Analytics– Specialty Certification exam measures your ability to accomplish the following technical tasks:

  • Collection: Designing and implementing data collection systems
  • Storage and Data Management: Designing and managing data storage solutions
  • Processing: Creating and managing the architecture for data processing
  • Analysis and Visualization: Building and managing data analysis and visualization solutions
  • Security: Securing and managing data access and encryption
  • Operational Excellence: Monitoring and optimizing data solutions on AWS

The AWS Certified Data Analytics - Specialty (DAS-C01) certification can be challenging, especially for those without extensive experience in data analytics and AWS services. Candidates with hands-on experience and thorough preparation will find it more manageable. Success relies on understanding a broad range of topics and practical application of AWS data analytics solutions.

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