Amazon DAS-C01 Exam Prep Course (Premium File)
AI-Powered AWS Certified Data Analytics - Specialty (DAS-C01) Exam - Pass on Your First Try

Last updated on Jun 17, 2026

 DAS-C01 Practice Exam
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Last Updated: 17-Jun-2026
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All AWS Certified Data Analytics - Specialty (DAS-C01) certification learning material, study guide, training courses are created by a team of Amazon training experts. The Study Guide and .EXM training software files contain relevant AWS Certified Data Analytics - Specialty (DAS-C01) content, labs, practice questions and explanation. This DAS-C01 exam guide and training courses is based on the latest exam outlines available!

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AWS Certified Data Analytics - Specialty (DAS-C01) Study package designed to help you confidently pass your exam.

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How to Prepare and Pass the Amazon DAS-C01 Exam

Are you a student aspiring to become an expert in cloud computing and looking to validate your skills? The Amazon DAS-C01 exam is an excellent opportunity to showcase your knowledge and expertise in designing and implementing AWS applications. In this comprehensive guide, we will provide you with accurate and up-to-date details about the DAS-C01 exam, as well as actionable tips to help you prepare and pass with flying colors.

About the Amazon DAS-C01 Exam

The AWS Certified Data Analytics - Specialty (DAS-C01) exam is designed for individuals who have a strong background in data analytics and want to demonstrate their ability to design, build, secure, and maintain analytics solutions on the AWS platform. This exam validates your understanding of various AWS services and their integration for data analysis purposes.

Exam Details

  • Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01)
  • Exam Duration: 180 minutes (3 hours)
  • Exam Format: Multiple-choice and multiple-response questions
  • Exam Fee: $300 (subject to change, please refer to the official Amazon website for the latest pricing)
  • Passing Score: The passing score for the DAS-C01 exam is not officially disclosed by Amazon.
  • Exam Language: Available in English, Japanese, Korean, and Simplified Chinese
  • Prerequisites: There are no formal prerequisites for taking the DAS-C01 exam, but it is recommended to have at least five years of experience in data analytics technologies and AWS services.

Exam Preparation Tips

To maximize your chances of success in the DAS-C01 exam, it is essential to have a structured and focused study plan. Here are some actionable tips to help you prepare effectively:

1. Understand the Exam Domains

Amazon provides a detailed exam guide that outlines the topics and subdomains covered in the DAS-C01 exam. Familiarize yourself with the exam blueprint to understand the areas where you need to focus your study efforts.

2. Explore Relevant AWS Services

The DAS-C01 exam requires a deep understanding of various AWS services related to data analytics. Spend time exploring and gaining hands-on experience with services like Amazon Redshift, Amazon Kinesis, AWS Glue, AWS Lambda, Amazon QuickSight, and more.

3. Review AWS Documentation and Whitepapers

Amazon provides extensive documentation and whitepapers on their official website. Thoroughly review relevant whitepapers, such as the "Big Data Analytics Options on AWS" and "Streaming Data Solutions on AWS," to enhance your understanding of AWS data analytics services and best practices.

4. Take Advantage of AWS Training and Certification

AWS offers various training resources, including instructor-led classes, digital training, and practice exams. Enroll in AWS Certified Data Analytics - Specialty training courses to gain comprehensive knowledge and hands-on experience with AWS data analytics services.

5. Hands-on Experience with AWS Services

Practical experience is crucial for success in the DAS-C01 exam. Create and work on real-world projects using AWS data analytics services. Implement data pipelines, perform data transformations, and build analytical solutions to reinforce your understanding of the concepts.

6. Practice with Sample Questions

Utilize practice exams and sample questions to assess your knowledge and identify areas that require further study. Amazon provides sample questions in the official exam guide, and you can also find additional resources online.

7. Join Study Groups and Forums

Engage with other aspiring candidates by joining study groups and online forums dedicated to the AWS Certified Data Analytics - Specialty exam. Participating in discussions and sharing knowledge can provide valuable insights and help clarify any doubts you may have.

8. Time Management during the Exam

During the DAS-C01 exam, time management is crucial. Read each question carefully, manage your time efficiently, and avoid spending too much time on a single question. If you're unsure about an answer, flag it for review and move on. Review the flagged questions in the remaining time.

9. Stay Calm and Confident

Lastly, maintain a calm and confident mindset throughout your exam preparation and during the actual exam. Believe in your abilities, trust your preparation, and stay focused. Remember, a positive mindset can significantly impact your performance.

Conclusion

Preparing for and passing the Amazon DAS-C01 exam requires dedication, comprehensive knowledge of AWS data analytics services, and hands-on experience. By following the tips mentioned in this guide, you can build a solid foundation and increase your chances of achieving the AWS Certified Data Analytics - Specialty certification. Good luck on your journey to becoming an expert in AWS data analytics!

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VirtuLearn AI

Question 1810:

  • Correct answer: C — User acceptance testing (UAT)

  • Why: In year two, business processes are updated to implement new functionality. UAT verifies that the new functionality meets business requirements, is usable by end users, and supports necessary controls and reporting. It provides the final confirmation before go-live.

  • Why the others are weaker:
- Data migration: important, but primarily a year-one activity focused on moving data, not validating the new functionality. - Sociability testing: (not a standard term here) generally would cover technical or integration aspects rather than end-user acceptance of new processes. - Initial user access provisioning: security setup; important but not the primary focus for validating updated business processes.
  • Practical tip: base UAT on real business scenarios, ensure the UAT environment mirrors production, require business owner sign-off, and maintain traceability between requirements and test cases.

Riyadh, Saudi Arabia

VirtuLearn AI

Question 1807:

  • Correct answer: D — Previous system interface testing records

  • Why: since the two business-critical systems haven’t been tested since implementation, the most relevant evidence for planning an audit is what was previously tested on the interfaces between those systems. These records show the actual interface test scope, data mappings, validation rules, error handling, and reconciliation checks, and help identify gaps to address during the audit.

  • Why others are weaker:
- Quality assurance (QA) testing: broad quality checks, not specifically focused on the data-transfer interfaces. - System change logs: show changes but not whether interfaces were tested or validated. - IT testing policies and procedures: provide governance guidance, not concrete evidence of past interface testing.
  • Practical tip: use the records to define test objectives, identify missing interface controls, and plan targeted re-testing or validation of data integrity across the interfaces.

Riyadh, Saudi Arabia

VirtuLearn AI

Question 1813:
Correct answer: C

  • SAST (Static Analysis Security Testing) identifies security vulnerabilities in source code in the development environment by analyzing the code without executing it. It’s typically integrated into the SDLC (e.g., during coding or CI/CD) to catch issues early.

Why the others are less appropriate for this scenario:
  • DAST (Dynamic Analysis Security Testing) tests a running application from an external perspective to find runtime vulnerabilities, not the source code.
  • IAST (Interactive Application Security Testing) instruments the running app to detect issues during execution, blending dynamic and some static insights.
  • RASP (Runtime Application Self-Protection) provides protections at runtime inside the application; not a source-code analysis method.

Riyadh, Saudi Arabia

VirtuLearn AI

Question 1811:
Correct answer: D
Reason:

  • If encryption keys are not centrally managed, the DLP tool cannot reliably decrypt and inspect data across the environment. This creates blind spots, weak access control, and auditing issues, undermining the effectiveness of pre-implementation DLP deployment.

Why the others are less critical in this context:
  • Monitor mode vs block mode affects enforcement; monitor-only reduces effectiveness but is not as fundamental a risk as broken key management.
  • Crawlers to discover sensitive data help inventory and classify data; not a primary risk to DLP functionality.
  • Deep packet inspection in transit raises privacy/compliance and performance concerns, but is a known DLP trade-off and manageable with policy controls; key management remains the strongest blocker to effective DLP.

Riyadh, Saudi Arabia

VirtuLearn AI

Question 121:

  • Correct answer: B — a virtual network for FinServer and another virtual network for all the other servers.

  • Why:
- In Azure, network segmentation is done with VNets. Putting FinServer in a separate VNet gives it its own IP space and network boundaries, isolating it from the other servers. - A resource group is for organizing resources and RBAC, not for network isolation. - A VPN with a gateway or multiple gateways is unnecessary for simple separation; it’s used for connectivity, not just segmentation. - One resource group with a lock does not affect network isolation.
  • Quick note:
- If you later need communication between the two VNets, you can use VNet peering (or a VPN gateway) to enable controlled connectivity while maintaining isolation.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 86:

  • Correct answer: Vertical scaling

  • Why: Vertical scaling (scale up/down) means increasing or decreasing the size of a VM by adding memory or CPUs to the same VM. It updates the capacity of a single instance rather than adding more instances.

  • How it compares to other terms:
- Horizontal scaling (scale out/in): changes the number of VM instances, not the size of each one. - Elasticity: broad concept of adapting resources to demand (includes vertical and horizontal scaling). - Agility: general capability; not specific to VM capacity.
  • Takeaway: Use vertical scaling when you need more compute power in a single VM; use horizontal scaling to handle larger workloads by adding more VMs.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 73:
I can’t see the image-based statements in Question 73, so I can’t tell which specific statements are true. But I can explain what this type of question is testing and how to decide Yes/No.
What Question 73 is testing

  • Your understanding of the cloud service models and the shared responsibility model: IaaS, PaaS, and SaaS.
  • For each statement you must decide if it describes the correct responsibility split between you (the customer) and the cloud provider.

Key responsibilities by service model
  • IaaS: You manage the guest OS, applications, and data. The provider manages virtualization, servers, storage, and networking.
  • PaaS: You manage the applications and data. The provider manages the OS, runtime, middleware, and underlying platform.
  • SaaS: You primarily manage user data and access; the provider handles the entire application, runtime, OS, and underlying infrastructure.

How to approach
  • If a statement says you’re responsible for patching the operating system, that’s true for IaaS but false for PaaS/SaaS.
  • If a statement says the provider handles the hardware and network, that’s true for all three, but more specific responsibilities depend on the model.

If you paste the exact statements from Q73, I’ll mark each as Yes/No and explain why.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 25:

  • Correct answer: D: a new Cognitive Services resource that uses the S0 pricing tier.

  • Why: To enable OCR and text analytics in a Cognitive Search enrichment pipeline, you must attach a Cognitive Services resource to the skillset. For cost efficiency on a large document set, choose the base standard tier (S0) rather than higher tiers or a free tier, which may limit enrichments. The OCR capability comes from the Cognitive Services (Computer Vision/Read) and the S0 tier provides a balance of capability and cost.

Singapore, Singapore

VirtuLearn AI

Question 20:

  • Correct answer: D and E.

  • Why: Provisioning a QnA Maker service creates:
- Azure App Service to host the QnA Maker web API (your App Service Plan AP1 will host the App Service resource). - Azure Cognitive Search to enable fast search over the knowledge base.
  • Why not the others:
- Language Understanding, Azure SQL Database, and Azure Storage are not automatically created by QnA Maker provisioning.
  • Quick note: After provisioning, check RG1 to verify the new App Service and Cognitive Search resources.

Singapore, Singapore

VirtuLearn AI

what if different between speech recognizer and speach synthesizer

  • Speech Recognizer (Speech-to-Text): Converts audio input (live mic or audio file) into text. Output is transcripts with timestamps, confidence scores, and optional punctuation. Use cases: meeting transcripts, voice commands, real-time captions.

  • Speech Synthesizer (Text-to-Speech): Converts text (or SSML) into audio output. Output is audio data (wav/mp3 or streaming). Use cases: voice prompts, IVR responses, accessibility narrations. You can choose voices, languages, and adjust prosody (rate, pitch, volume).

  • Key differences:
- Input: Recognizer takes audio; Synthesizer takes text/SSML. - Output: Recognizer ? text; Synthesizer ? audio. - Features: Recognizer provides transcripts and timing; Synthesizer provides customizable voices (neural, SSML), multiple languages. - Typical scenarios: Transcription vs. generating spoken content.
  • Quick example: Use Speech Recognizer to transcribe a meeting; use Speech Synthesizer to read a script aloud in a chosen voice.

Singapore, Singapore