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SAS Big Data Preparation, Statistics, and Visual Exploration

Exam Content Guide

Below we provide a list of the objectives that will be tested on the exam.
For more specific details about each objective download the complete exam content guide.

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Data Management - 50%

  • Navigate within the Data Management Studio Interface
  • Create, design and be able to explore data explorations and interpret results
  • Define and create data collections from exploration results
  • Create and explore a data profile
  • Design data standardization schemes
  • Create Data Jobs
  • Apply a Standardization definition and scheme
  • Apply Parsing definitions
  • Compare and contrast the differences between identification analysis and right fielding nodes
  • Apply the Gender Analysis node to determine gender
  • Create an Entity Resolution Job
  • Define and create business rules
  • Describe the organization, structure and basic navigation of the QKB
  • Be able to articulate when to use the various components of the QKB
  • Define the processing steps and components used in the different definition types

ANOVA and Regression - 30%

  • Verify the assumptions of ANOVA
  • Analyze differences between population means using the GLM and TTEST procedures
  • Perform ANOVA post hoc test to evaluate treatment affect
  • Detect and analyze interactions between factors
  • Fit a multiple linear regression model using the REG and GLM procedures
  • Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models
  • Use the REG or GLMSELECT procedure to perform model selection
  • Assess the validity of a given regression model through the use of diagnostic and residual analysis
  • Perform logistic regression with the LOGISTIC procedure
  • Optimize model performance through input selection
  • Interpret the output of the LOGISTIC procedure

Visual Data Exploration - 20%

  • Examine, modify, and create data items
  • Select and work with data sources
  • Create, modify, and interpret automatic chart visualizations in Visual Analytics Explorer
  • Create, modify, and interpret graph and table visualizations in Visual Analytics Explorer
  • Enhance visualizations with analytics within Visual Analytics Explorer
  • Interact with visualizations and explorations within Visual Analytics Explorer

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