SAS Certified Specialist: Visual Business Analytics Practice Test
Build your confidence for SAS Certified Specialist: Visual Business Analytics. Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.
Try a sample questionExam overview and details
The SAS Certified Specialist: Visual Business Analytics exam validates the ability to use SAS Visual Analytics to explore, analyze, and present data for business decision-making. This 40-question exam assesses a candidate's practical skills in importing and preparing data, creating interactive reports and dashboards, applying analytics, and distributing insights within the SAS Visual Analytics environment. It is designed for professionals who need to transform raw data into clear, actionable visual narratives without requiring deep programming expertise. Successful candidates demonstrate proficiency in the core workflow of visual analytics, from data manipulation to story creation. This certification is ideal for business analysts, report developers, data visualization specialists, and professionals in roles that require communicating data-driven insights to stakeholders. By earning this credential, you prove your competency in a leading enterprise analytics platform, enhancing your credibility and ability to contribute to data-informed business strategies.
Sample Questions
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An insurance claims unit is building a SAS Visual Analytics Using SAS Viya report from data containing claim type, adjuster, loss state, severity score, open date, settlement amount, and fraud indicator. During validation, leaders want a concise report that still supports drill-down review. The report author is working on Numeric parameter. A sales VP wants a slider that changes the target value used in a KPI gauge from 80 to 120 percent. Which parameter type fits?
A regional retailer is building a SAS Visual Analytics Using SAS Viya report from data containing store, product family, transaction date, margin, loyalty tier, and return count. During validation, district managers need a filterable dashboard before the Monday operating review. The report author is working on Custom sorts. A crosstab must display pipeline stages as Lead, Qualified, Proposal, Negotiation, Closed rather than alphabetically. What should the author define?
A regional retailer is building a SAS Visual Analytics Using SAS Viya report from data containing store, product family, transaction date, margin, loyalty tier, and return count. During validation, district managers need a filterable dashboard before the Monday operating review. The report author is working on Multiple data sources and data mappings. Two pages use different source tables: one at customer level and one at account level. A page prompt on Region is not filtering the second page. What should the author configure?
A hospital finance team is building a SAS Visual Analytics Using SAS Viya report from data containing encounter cost, service line, admit date, payer, length of stay, and readmission flag. During validation, an executive asks why the same report behaves differently after a monthly refresh. The report author is working on Quick calculations. The report author needs a percent-of-total measure for a bar chart during exploration and does not need a complex expression. What is the fastest sound approach?
A manufacturing operations group is building a SAS Visual Analytics Using SAS Viya report from data containing plant, line, shift, defect code, production hour, scrap cost, and downtime minutes. During validation, supervisors need exception patterns without losing the daily trend. The report author is working on Calculated item versus aggregated measure. A margin percent must be computed as total profit divided by total revenue for each selected region, not as the average of row-level percentages. Which item should be created?
Career Opportunities & Salary
Exam insights and study advice
In today's data-driven business environment, the ability to quickly explore data and communicate insights visually is not a luxury-it's a core business competency. This certification matters because it validates the practical skills needed to bridge the gap between complex data and business decision-makers. Professionals with these skills can reduce the time from question to answer, identify trends and outliers that text-based reports miss, and create compelling data stories that drive action. Mastery of SAS Visual Analytics enables you to build self-service dashboards that empower stakeholders, leading to more agile and evidence-based business processes.
What this exam covers
Use the published domain weights to plan your study. Practice results do not predict your certification exam score.
01Use Objects and Build Reports
Topics
- Create, modify, and interpret automatic features
- Identify the options available in an automatic chart
- Use the Suggest Pane objects
- Use and modify page templates
- Use and interpret Automated Explanation and Automated Prediction
- Use data roles and modify object options and styles
- Create and modify list tables and crosstabs to build a report
- Create and modify descriptive charts
- Create and modify relationship plots
- Create and modify time comparative time series plot, line charts, time series plots
- Create and modify report objects
- Create, modify and work with geographic data and objects
- Create, modify, and interpret data analysis using analytic objects (forecasting, network analysis, path analysis, decision tree, text topics)
- Create, modify and use custom graphs
- Interact with objects for analyzing data
- Create and modify controls, containers, and content to build a report
- Design a report using pages and layouts
- Add actions, filters, ranks and alerts to reports
Learning objectives
- Create, modify, and interpret automatic features
- Identify the options available in an automatic chart
- Use the Suggest Pane objects
- Use and modify page templates
- Use and interpret Automated Explanation and Automated Prediction
- Use data roles and modify object options and styles
- Create and modify list tables and crosstabs to build a report
- Create and modify descriptive charts
- Create and modify relationship plots
- Create and modify time comparative time series plot, line charts, time series plots
- Create and modify report objects
- Create, modify and work with geographic data and objects
- Create, modify, and interpret data analysis using analytic objects (forecasting, network analysis, path analysis, decision tree, text topics)
- Create, modify and use custom graphs
- Interact with objects for analyzing data
- Create and modify controls, containers, and content to build a report
- Design a report using pages and layouts
- Add actions, filters, ranks and alerts to reports
02Data Sources and Data Items
Topics
- Import local data files (.xlsx, .csv) into SAS Visual Analytics
- Select and work with data sources
- Work with multiple data sources
- Change data sources
- Create and use data mappings
- Create and apply Data Views
- Create and use Visual Analytics Data Joins
- Create and use aggregated data source
- Examine, modify, and create data items
- Examine data item properties and measure details
- Modify data item properties
- Examine related measures, outlier and insights
- Create hierarchies
- Create custom categories
- Examine the difference between a calculated data item and aggregated measure
- Create quick calculations
- Create calculated items
- Create aggregated measures
- Create and use parameters (Numeric, Character, Date)
- Expression-based
- Subset Data: Create custom sorts; Use filters on data source and objects; Add rank to objects; Create and use common filters
Learning objectives
- Import local data files (.xlsx, .csv) into SAS Visual Analytics
- Select and work with data sources
- Work with multiple data sources
- Change data sources
- Create and use data mappings
- Create and apply Data Views
- Create and use Visual Analytics Data Joins
- Create and use aggregated data source
- Examine, modify, and create data items
- Examine data item properties and measure details
- Modify data item properties
- Examine related measures, outlier and insights
- Create hierarchies
- Create custom categories
- Examine the difference between a calculated data item and aggregated measure
- Create quick calculations
- Create calculated items
- Create aggregated measures
- Create and use parameters (Numeric, Character, Date)
- Expression-based
- Subset Data: Create custom sorts; Use filters on data source and objects; Add rank to objects; Create and use common filters
03View, Share and Manage Reports
Topics
- View a Visual Analytics Report (Web browser, Progressive Web Application (PWA), Mobile App, SAS for Microsoft 365, Custom web application using SAS VA SDK)
- Share a Visual Analytics Report
- Export and save report object images
- Distribute reports and generate alerts
- Sharing reports
- Manage a Visual Analytics Report
- Save reports
- Localize reports
- Change threshold and data limit options
- Use the Review Pane
Learning objectives
- View a Visual Analytics Report (Web browser, Progressive Web Application (PWA), Mobile App, SAS for Microsoft 365, Custom web application using SAS VA SDK)
- Share a Visual Analytics Report
- Export and save report object images
- Distribute reports and generate alerts
- Sharing reports
- Manage a Visual Analytics Report
- Save reports
- Localize reports
- Change threshold and data limit options
- Use the Review Pane