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SAS Institute A00-260 Exam Topics, Blueprint and Syllabus

SAS Data Integration Development

Last Update September 18, 2024
Total Questions : 70

Our Data Integration Developer A00-260 exam questions and answers cover all the topics of the latest SAS Data Integration Development exam, See the topics listed below. We also provide SAS Institute A00-260 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of SAS Institute A00-260 resources to help you understand the topics covered in the exam, such as Data Integration Developer video tutorials, A00-260 study guides, and A00-260 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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SAS Institute A00-260 Exam Overview :

Exam Name SAS Data Integration Development
Exam Code A00-260
Actual Exam Duration The duration of the SAS Institute A00-260 exam is 105 minutes.
Expected no. of Questions in Actual Exam 76
What exam is all about The SAS Certified Data Scientist Using SAS 9: A00-260 exam is a certification exam offered by SAS Institute. It is designed to test the knowledge and skills of data scientists who use SAS 9 software to analyze data and develop predictive models. The exam covers topics such as data exploration, data preparation, data analysis, model building, and model validation.
Passing Score required The passing score for the SAS Institute A00-260 exam is 69%.
Competency Level required The SAS Institute A00-260 exam is an advanced-level exam. It is designed to test the knowledge and skills of experienced SAS professionals. To pass the exam, candidates must demonstrate a comprehensive understanding of SAS programming and analytics. Candidates should have a minimum of two years of experience working with SAS software and be familiar with the SAS programming language.
Questions Format The SAS Institute A00-260 exam consists of multiple-choice questions.
Delivery of Exam The SAS Institute A00-260 exam is delivered in a multiple-choice format.
Language offered The SAS Institute A00-260 exam is offered in English.
Cost of exam The cost of the SAS Institute A00-260 exam is $180 USD.
Target Audience The target audience for the SAS Institute A00-260 exam is individuals who are looking to become certified SAS Certified Data Scientist. This certification is designed for professionals who have experience in data science and analytics and are looking to demonstrate their knowledge and skills in the field. The exam is also suitable for those who are looking to gain a better understanding of the SAS platform and its capabilities.
Average Salary in Market The average salary for someone with a SAS Institute A00-260 exam certification is around $90,000 per year.
Testing Provider The SAS Institute does not provide the A00-260 exam for testing. The A00-260 exam is an official certification exam offered by SAS Institute and must be taken at an authorized testing center.
Recommended Experience The recommended experience for the SAS Institute A00-260 exam is a minimum of six months of experience working with SAS software. This includes experience with SAS programming, data manipulation, and data analysis. Additionally, it is recommended that candidates have a basic understanding of SAS Enterprise Guide, SAS Enterprise Miner, and SAS Visual Analytics.
Prerequisite The Prerequisite for SAS Institute A00-260 exam is a basic understanding of SAS programming and data analysis. Candidates should also have a working knowledge of SAS Enterprise Guide, SAS Enterprise Miner, and SAS Visual Analytics.
Retirement (If Applicable) The SAS Institute A00-260 exam does not have an expiration date. It is valid for as long as the exam is offered by the SAS Institute.
Certification Track (RoadMap): The SAS Institute A00-260 exam is a certification track and roadmap for SAS Certified Data Scientist professionals. It is designed to assess the knowledge and skills of individuals in the areas of data exploration, data preparation, data analysis, and data visualization. The exam covers topics such as data wrangling, data mining, predictive modeling, and machine learning. It also covers the use of SAS software to create and analyze data. Passing the A00-260 exam is a prerequisite for earning the SAS Certified Data Scientist credential.
Official Information https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html
Take Self-Assessment Use SAS Institute A00-260 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

SAS A00-260 Exam Topics :

Section Weight Objectives
Overview  
  • Define the architecture of the platform for SAS Business Analytics
  • Describe the available interfaces
  • Define the change management feature of SAS Data Integration Studio
  • Discuss the DataFlux Data Management Server
Creating Metadata for Source and Target Data  
  • Define administrative tasks to be performed for SAS Data Integration Studio.
  • Describe the New Library Wizard.
  • Use Register Tables wizard to register source data.
  • Register metadata for a comma-delimited external file.
  • Import and Export Metadata.
Creating Metadata for Target Data and Jobs  
  • Describe features of the New Table wizard.
  • Discuss components of Join's Designer window
  • Investigate mapping and propagation.
  • Work with performance statistics.
  • Generate reports on metadata for tables and jobs.
  • Define Impact and Reverse Impact Analysis.
  • Import SAS code.
Working with Transformations  
  • Discuss and use the Extract and Summary Statistics transformation.
  • Discuss and use the Loop transformations.
  • Investigate where status handling is available.
  • Explain the functionality of the Data Validation transformation.
  • Discuss and use the Rank, Transpose, Append, List and Sort transformations.
  • Discuss and use the Apply Lookup Standardization transformation.
  • Discuss and use the Compare Tables transformation.
  • Discuss and use transformations in the SQL grouping of transformations.
  • Apply and use the Standardize with Definition transformation.
Working with Tables and the Table Loader Transformation  
  • Discuss reasons to use the Table Loader transformation.
  • Discuss various load styles provided by the Table Loader transformation.
  • Discuss various types of keys and how to define in SAS Data Integration Studio.
  • Discuss indexes and how to define in SAS Data Integration Studio.
  • Discuss Table Loader options for keys and indexes.
  • Discuss the Bulk Table Loader transformation.
  • Discuss and use the components of the Join's Designer Window related to in-database processing.
Working with Slowly Changing Dimensions  
  • List the functions of the SCD Type 2 transformation.
  • Define business keys.
  • Detect and track changes.
  • Discuss the Lookup transformation.
  • Discuss the SCD Type 1 Loader.
Defining Generated Transformations  
  • Define SAS code transformation templates.
  • Create a custom transformation
Deploying Jobs  
  • Discuss the types of job deployment available for SAS Data Integration Studio Jobs.
  • Provide an overview of the scheduling process.
  • Discuss the types of scheduling servers.
  • Discuss the Schedule Manager in SAS Management Console.
  • Discuss batch servers.
  • Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.
In Database Processing  
  • Define in-database processing
  • Enable in-database processing
  • Define and discuss ELT methods
  • Use a DBMS function in a SAS DI job