SAS Certified Data Integration Developer for SAS 9 Practice Exam

SAS Certified Data Integration Developer for SAS 9 Practice Exam

The SAS Certified Data Integration Developer for SAS 9 exam validates your expertise in developing data integration solutions using SAS Data Integration Studio. Earning this certification demonstrates your ability to  design, develop, and deploy data integration jobs within the SAS 9 environment.

Who Should Take This Exam?

This SAS certification is ideal for:

• Data Integration Developers: Specialists who design and build data integration workflows to extract, transform, and load (ETL) data within SAS 9.
• Business Analysts: Individuals who leverage data integration tools like SAS DI Studio to support data analysis and reporting needs.
• Data Architects: Professionals involved in designing and implementing data warehouse solutions using SAS technologies.
• Anyone seeking to: Validate their skills in data integration using SAS 9 and enhance their career prospects in the field.

Are There Prerequisites?

While there are no formal prerequisites, a strong foundation in data integration concepts and experience with SAS 9, particularly SAS Data Integration Studio, is highly recommended for success.

Roles and Responsibilities of a SAS Certified Data Integration Developer

With this certification, you may qualify for roles like:

• SAS Data Integration Developer: Building and maintaining data pipelines using SAS DI Studio to integrate data from various sources.
• ETL Developer: Developing data extraction, transformation, and loading processes to populate data warehouses or data marts.
• Data Analyst (Technical): Utilizing data integration skills to access and prepare data for analysis.

Exam Format

• Exam Name: SAS Certified Data Integration Developer for SAS 9 
• Exam Number: A00-260
• Number of Questions: 76
• Exam Format: Multiple-choice
• Time Give: 105 minutes  
• Passing score: 70%

Course Structure

The important domains and their topics that the SAS Certified Data Integration Developer for SAS 9 exam covers are: 

1. 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

2. 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.

3. Creating Metadata for Target Data and Jobs

• Describe the 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.

4. 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.

5. 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.

6. 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.

7. Defining Generated Transformations

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

8. 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.

9. 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