SAS Certified Big Data Professional Using SAS 9 Practice Exam

SAS Certified Big Data Professional Using SAS 9

SAS Certified Big Data Professional Using SAS 9

The SAS Certified Big Data Professional Using SAS 9 exam is for individuals who want to prove their ability to use open source and SAS® Data Management tools to prepare big data for statistical analysis. Also, the SAS Certified Big Data Professional Using SAS 9 exam has divided into two exams i.e. SAS Big Data Preparation, Statistics, and Visual Exploration and SAS® Big Data Programming and Loading Exam. 

Prerequisites

Successful candidates should have hands-on experience with a variety of SAS data and open-source data preparation tools. 

Course Structure

The relatable domains that the SAS Certified Big Data Professional Using SAS 9- both exams covers are: 

SAS Big Data Preparation, Statistics, and Visual Exploration Exam 

1. 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

● 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

2. ANOVA and Regression - 30%

● Verify the assumptions of ANOVA

● Analyze differences between population means using the GLM and TTEST procedures

● 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

● Optimize model performance through input selection

● Interpret the output of the LOGISTIC procedure

3. 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

SAS Big Data Programming and Loading Exam

1. SAS and Hadoop - 30%

● Describe the baseline requirements for interacting with Hadoop

● Use the HADOOP procedure and the Hadoop FILENAME statement to interact with Hadoop from a SAS session

● Query and manage Hive tables stored in Hadoop using explicit SQL pass-through

● Work with Hadoop files using the SAS/ACCESS LIBNAME statement

2. SAS DS2 Programming - 30%

● Write DS2 programs

● Read data using DS2

● Work with variables, arrays, and ANSI SQL data types

● Use expressions and functions in DS2 programs

● Work with Methods, Packages, and Threads

3. Hadoop Programming - 15%

● Describe the Hadoop architecture

● Manipulate and load data files using command-line tools

● Write Hive programs to create, join, and query data tables

● Write Pig programs to perform ETL tasks and to analyze large data sets

4. Data manipulation with the IMSTAT procedure - 25%

● Execute IMSTAT procedures

● Perform actions required to produce graphs with PROC IMSTAT

● Manipulate In-Memory Data

● Use High-Performance procedures with the SAS LASR Analytic Server

Exam Format

• Exam Name: SAS Certified Big Data Professional Using SAS 9
• Exam Numbers: A00-220 and A00-221
• Number of Questions: 110 and 65 
• Exam Format: Multiple-choice
• Time Give: approx 110 minutes in both 
• Passing Marks: Approximately 68%

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