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

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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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SAS Certified Data Integration Developer (A00-260) Exam Reference

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

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

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

Creating Metadata for Source and Target Data

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

Creating Metadata for Target Data and Jobs

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

Working with Transformations

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

Working with Tables and the Table Loader Transformation

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

Working with Slowly Changing Dimensions

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

Defining Generated Transformations

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

Deploying Jobs

• 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.
• Discuss the types of scheduling servers.
• Discuss batch servers.
• Provide an overview of the scheduling process.

In Database Processing

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

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