SASInstitute SAS Big Data Preparation, Statistics, and Visual Exploration : A00-220

A00-220 real exams

Exam Code: A00-220

Exam Name: SAS Big Data Preparation, Statistics, and Visual Exploration

Updated: Jul 21, 2026

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SASInstitute A00-220 certification exam is ideal for data analysts, statisticians, and data scientists who deal with large volumes of data. SAS Big Data Preparation, Statistics, and Visual Exploration certification exam covers a variety of topics such as data preparation, data exploration, data visualization, and statistical analysis. Candidates are expected to have a strong understanding of statistical concepts, data manipulation techniques, and data visualization tools. They must also be proficient in using SAS software to perform these tasks.

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To prepare for the SASInstitute A00-220 certification exam, candidates can take SAS training courses, attend workshops, and participate in online forums and communities. They can also use SAS software to practice their data manipulation, exploration, and statistical analysis skills. A00-220 exam consists of multiple-choice questions and is administered online or in-person at a SAS testing center. Candidates must score at least 70% to pass the exam and earn their certification.

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SASInstitute A00-220 Exam Syllabus Topics:

SectionObjectives
Big Data Concepts- SAS Environment Overview
  • 1. Integration with analytics pipelines
    • 2. SAS Viya ecosystem basics
      - Big Data Processing Fundamentals
      • 1. Structured vs unstructured data
        • 2. Scalable data processing concepts
          Statistical Analysis- Descriptive Statistics
          • 1. Measures of central tendency and dispersion
            • 2. Distribution analysis
              - Inferential Statistics
              • 1. Correlation and regression basics
                • 2. Hypothesis testing concepts
                  Data Visualization- Visual Exploration Techniques
                  • 1. Chart selection and interpretation
                    • 2. Interactive dashboards and reports
                      - SAS Visualization Tools
                      • 1. Using SAS Visual Analytics
                        • 2. Exploratory data analysis workflows
                          Data Preparation- Data Access and Import
                          • 1. Reading structured and semi-structured data sources
                            • 2. Connecting to databases and external files
                              - Data Cleaning and Transformation
                              • 1. Handling missing values and outliers
                                • 2. Data formatting and standardization

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