AWS Data Visualization Demonstrated is a hands-on exam lab that validates your AWS skills in the data analytics domain, focusing on data visualization solutions. In this timed assessment, you work in a live, AWS-provisioned environment to build a streaming platform analytics layer by configuring ML-powered forecasting, implementing row- and column-level security, building reusable SQL views, and publishing dashboards that include table calculations and conditional formatting.
After you begin, you have 120 minutes to complete all challenges. The exam lab provides necessary guidance but not step-by-step solutions. To pass, you must demonstrate proficiency in data analytics services, including Amazon Quick Sight, Amazon Athena, Amazon Redshift Serverless, and the AWS Glue Data Catalog.
Important: Each exam lab is continuously tested for reliability. If something appears broken during your attempt, revisit the challenge guidance carefully; most issues stem from a missed configuration step rather than a technical fault.
Tip: Participants who carefully read all provided guidance before acting are significantly more likely to pass. Take time to understand each challenge fully, even under time pressure.
Before you begin:
- Challenges are randomized and might not reflect the sequence of real-life scenarios.
- This exam lab cannot be paused or restarted. If you exit, you will need to start again from the beginning.
- If you fail the exam lab, you will need to wait 25 days before attempting it again.
To prepare for this assessment, we recommend the following training:
- AWS SimuLearn: Business Intelligence Dashboards
- AWS Cloud Quest: Data Analytics
- Amazon Quick Sight Advanced Business Intelligence Authoring (Part 1)
- Amazon Quick Sight Advanced Business Intelligence Authoring (Part 2)
