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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 architecture of the platform for SAS Business Analytics
- Discuss the DataFlux Data Management Server
- Define the change management feature of SAS Data Integration Studio
Creating Metadata for Source and Target Data
- Import and Export Metadata.
- Register metadata for a comma-delimited external file.
- Describe the New Library Wizard.
- Use Register Tables wizard to register source data.
- Define administrative tasks to be performed for SAS Data Integration Studio.
Creating Metadata for Target Data and Jobs
- Define Impact and Reverse Impact Analysis.
- Work with performance statistics.
- Discuss components of Join's Designer window
- Describe features of the New Table wizard.
- Investigate mapping and propagation.
- Import SAS code.
- Generate reports on metadata for tables and jobs.
Working with Transformations
- Discuss and use the Extract and Summary Statistics transformation.
- Discuss and use the Apply Lookup Standardization transformation.
- Explain the functionality of the Data Validation transformation.
- Discuss and use the Loop transformations.
- Investigate where status handling is available.
- Discuss and use transformations in the SQL grouping of transformations.
- Apply and use the Standardize with Definition transformation.
- Discuss and use the Rank, Transpose, Append, List and Sort transformations.
- Discuss and use the Compare Tables transformation.
Working with Tables and the Table Loader Transformation
- Discuss the Bulk Table Loader transformation.
- Discuss and use the components of the Join's Designer Window related to in-database processing.
- Discuss various types of keys and how to define in SAS Data Integration Studio.
- Discuss various load styles provided by the Table Loader transformation.
- Discuss Table Loader options for keys and indexes.
- Discuss indexes and how to define in SAS Data Integration Studio.
- Discuss reasons to use the Table Loader transformation.
Working with Slowly Changing Dimensions
- Detect and track changes.
- Discuss the SCD Type 1 Loader.
- Discuss the Lookup transformation.
- Define business keys.
- List the functions of the SCD Type 2 transformation.
Defining Generated Transformations
- Define SAS code transformation templates.
- Create a custom transformation
Deploying Jobs
- Discuss the Schedule Manager in SAS Management Console.
- Discuss the types of scheduling servers.
- Describe deployment of SAS Data Integration Studio jobs as a SAS Stored Process.
- Discuss batch servers.
- Discuss the types of job deployment available for SAS Data Integration Studio Jobs.
- Provide an overview of the scheduling 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
Reference: https://www.sas.com/en_us/certification/credentials/data-management/data-integration-developer.html
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SASInstitute A00-260 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Overview | 5-6% | - SAS Data Integration Studio environment and administration - SAS Business Analytics platform architecture |
| Working with Tables and Table Loader Transformation | 17-18% | - Table Loader configuration and execution - Table creation and management - Performance and load optimization |
| Working with Transformations | 21-22% | - Lookup, validation and standardization - SQL and loop transformations - Data manipulation transformations |
| Creating Metadata for Target Data and Jobs | 17-18% | - Mapping, propagation and job metadata - New Table wizard and table metadata - Impact and reverse impact analysis |
| In-Database Processing | 5-6% | - Enabling and using in-database processing - ELT vs ETL concepts - DBMS function integration |
| Working with Slowly Changing Dimensions | 6-7% | - Change detection and tracking - SCD types and implementation |
| Creating Metadata for Source and Target Data | 19-20% | - Registering tables and libraries - Metadata management and wizards - Importing and exporting metadata |
| Generated Transformations and Job Deployment | 5-6% | - Generated transformation functionality - Stored processes and change management - Job deployment and scheduling |







