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How can you ready for SAS Certified Data Integration Developer (A00-260) Certification Exam

For Salesforce SAS Certified Data Integration Developer (A00-260) Certification Exam, there is a study guide

Salesforce SAS Certified Data Integration Developer (A00-260): Get our quick guide if you don't have time to read all the page

SAS Data Management certification is considered the point of reference for knowledge, skills and proven ability to create metadata for source and target data, create metadata for target data and jobs and use transformations. SAS® Certified Data Integration Developer certification is a very important Certification in the SAS Institute certification hierarchy. SAS Institute A00-260 SAS Certified Integration Developer for SAS exam scores confirm that you have a solid knowledge base in data management and SAS data management support. To do this, you must pass the SAS Institute A00260 Data Integration Developer Institute Certificate for the SAS exam. A00-260 (SAS Certified Data Integration Developer for SAS) is one of the data management exams you must pass to obtain the SAS Data Management certification.

Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html

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There are topics of SAS Certified Data Integration Developer (A00-260) Exam

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our SAS Certified Data Integration Developer A00-260 exam dumps will include the following topics:

Overview

• Describe the available interfaces
• Define the change management feature of SAS Data Integration Studio
• Discuss the DataFlux Data Management Server
• Define the architecture of the platform for SAS Business Analytics

Creating Metadata for Source and Target Data

• Describe the New Library Wizard.
• Import and Export Metadata.
• Define administrative tasks to be performed for SAS Data Integration Studio.
• Register metadata for a comma-delimited external file.
• Use Register Tables wizard to register source data.

Creating Metadata for Target Data and Jobs

• Work with performance statistics.
• Describe features of the New Table wizard.
• Discuss components of Join's Designer window
• Import SAS code.
• Investigate mapping and propagation.
• Define Impact and Reverse Impact Analysis.
• Generate reports on metadata for tables and jobs.

Working with Transformations

• Discuss and use the Apply Lookup Standardization transformation.
• Discuss and use the Loop transformations.
• Discuss and use the Rank, Transpose, Append, List and Sort transformations.
• Investigate where status handling is available.
• Apply and use the Standardize with Definition transformation.
• Discuss and use transformations in the SQL grouping of transformations.
• Discuss and use the Compare Tables transformation.
• Explain the functionality of the Data Validation transformation.
• Discuss and use the Extract and Summary Statistics transformation.

Working with Tables and 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 reasons to use the Table Loader transformation.
• Discuss and use the components of the Join's Designer Window related to in-database processing.
• Discuss Table Loader options for keys and indexes.
• Discuss the Bulk Table Loader transformation.
• Discuss indexes and how to define in SAS Data Integration Studio.

Working with Slowly Changing Dimensions

• Detect and track changes.
• Discuss the Lookup transformation.
• Define business keys.
• Discuss the SCD Type 1 Loader.
• List the functions of the SCD Type 2 transformation.

Defining Generated Transformations

• Define SAS code transformation templates.
• Create a custom transformation

Deploying Jobs

• Discuss batch servers.
• Discuss the types of scheduling servers.
• Provide an overview of the scheduling process.
• Discuss the Schedule Manager in SAS Management Console.
• Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.
• Discuss the types of job deployment available for SAS Data Integration Studio Jobs.

In Database Processing

• Define and discuss ELT methods
• Define in-database processing
• Use a DBMS function in a SAS DI job
• Enable in-database processing

SASInstitute A00-260 Exam Syllabus Topics: