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

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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.

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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

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

Creating Metadata for Source and Target Data

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

Creating Metadata for Target Data and Jobs

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

Working with Transformations

• 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.
• Apply and use the Standardize with Definition transformation.
• Investigate where status handling is available.
• Discuss and use the Loop transformations.
• Discuss and use the Compare Tables transformation.
• Discuss and use the Extract and Summary Statistics transformation.
• Discuss and use transformations in the SQL grouping of transformations.

Working with Tables and the Table Loader Transformation

• Discuss Table Loader options for keys and indexes.
• Discuss and use the components of the Join's Designer Window related to in-database processing.
• Discuss reasons to use the Table Loader transformation.
• Discuss indexes and how to define in SAS Data Integration Studio.
• Discuss various load styles provided by the Table Loader transformation.
• Discuss the Bulk Table Loader transformation.
• Discuss various types of keys and how to define in SAS Data Integration Studio.

Working with Slowly Changing Dimensions

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

Defining Generated Transformations

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

Deploying Jobs

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

In Database Processing

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

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