Adobe Analytic Design Practice Exam
Adobe Analytic Design Practice Exam
About Adobe Analytic Design Exam
The Adobe Analytic Design Exam assesses your ability to design and interpret data-driven visuals and reports using Adobe Analytics. This exam validates your skills in transforming raw digital data into actionable insights through dashboards, segments, and visual storytelling — helping businesses make smarter, data-backed decisions.
Who should take the Exam?
This exam is ideal for:
- Data analysts and digital marketers
- Business intelligence professionals
- Web and e-commerce analysts
- Marketing strategists and campaign managers
- Students and professionals transitioning into data-driven roles
Skills Required
- Basic understanding of digital marketing and website tracking
- Familiarity with Adobe Analytics or similar analytics tools
- Logical thinking and ability to interpret metrics
- Interest in creating reports, dashboards, and insights
Knowledge Gained
- Navigating Adobe Analytics interface and creating custom dashboards
- Designing meaningful reports using metrics and dimensions
- Building and managing segments for targeted analysis
- Using calculated metrics and attribution models
- Translating data into actionable business insights
Course Outline
The Adobe Analytic Design Exam covers the following topics -
Domain 1 – Introduction to Adobe Analytics
- Understanding the role of Adobe Analytics in digital marketing
- Navigating the interface and key features
- Differences between Workspace, Reports, and Admin tools
Domain 2 – Working with Reports and Dashboards
- Creating and customizing dashboards
- Building visualizations like tables, graphs, and flow reports
- Sharing, scheduling, and exporting dashboards
Domain 3 – Segments and Filters
- Creating and managing audience segments
- Applying filters for targeted data views
- Best practices for dynamic vs static segments
Domain 4 – Metrics and Dimensions
- Using standard metrics like page views, visits, and bounce rates
- Combining dimensions to gain granular insights
- Using breakdowns to explore multi-level data
Domain 5 – Calculated Metrics and Attribution
- Building calculated metrics for deeper analysis
- Understanding attribution models (first touch, last touch, linear, etc.)
- Comparing performance across marketing channels
Domain 6 – Data Storytelling and Design Principles
- Designing clean and effective data visualizations
- Communicating insights through structured narratives
- Avoiding bias and improving clarity in reporting
Domain 7 – Integration and Workflow Optimization
- Connecting Adobe Analytics with Adobe Experience Cloud
- Using automation and alerting features
- Optimizing workflows and minimizing report errors
