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SASInstitute A00-223 exam is designed for data scientists who want to master the art of data curation using SAS as a tool. A00-223 exam is designed to assess the candidate’s skills and knowledge in handling raw data, transforming and curating it for analysis and decision-making. Data Curation for SAS Data Scientists certification is recognized globally as it showcases the candidate’s commitment to expertise in data curation and SAS tools.
SASInstitute A00-223 exam is one of the most sought-after certification exams for data scientists who work with SAS environments. A00-223 exam is designed to test the candidate's proficiency in data curation, data preparation, and data cleaning. A00-223 exam also focuses on data transformation and transformation techniques.
The A00-223 certification exam assesses candidates' knowledge of data organization and management, as well as best practices for data storage and retrieval. Candidates will learn how to design and optimize data structures, develop data cleaning strategies and create data management plans.
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SASInstitute A00-223 certification exam is a comprehensive exam that tests a candidate's knowledge and skills in data curation using SAS software. It is an important certification for data scientists who work with SAS and want to demonstrate their expertise in this area. To prepare for the exam, candidates should have a strong foundation in SAS programming and data manipulation, as well as experience working with large datasets and identifying and resolving data quality issues.
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SASInstitute A00-223 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ensure the accuracy of data | 20% | - Use SAS Data Quality Server - Use DataFlux Data Management Studio - Structure of SAS Quality Knowledge Base |
| Topic 2: Working with SAS Data Integration Studio | 20% | - Create metadata for target data and jobs - SAS Data Integration Studio basics - Create metadata for source data |
| Topic 3: Special Data Management Topics | 20% | - SAS Data Governance technologies - Virtualize data with SAS Federation Server - Process IoT streams with SAS Event Stream Processing - Connect to data using SAS/ACCESS |
| Topic 4: Techniques for Working with Big Data | 40% | - DS2 Programming for Hadoop data - Access HDFS and invoke Hadoop applications from SAS - Query and manage Hadoop with Hive and HiveQL - Query and manage Hadoop with Pig and Pig Latin - SAS/ACCESS Libname Engine - SAS Data Loader for Hadoop data - Hadoop ecosystem concepts - SAS/ACCESS SQL Pass-thru Facility |
