To pass the SASInstitute A00-221 exam, candidates need to demonstrate their knowledge of SAS programming language and its application in big data environments. A00-221 exam tests the candidates' ability to write SAS programs for data access, transformation, and loading. A00-221 exam also assesses the candidates' expertise in SAS data management tools, such as SAS Data Integration Studio and SAS Data Quality. SAS Big Data Programming and Loading certification is suitable for professionals who work with large datasets and want to enhance their skills in managing big data.
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SASInstitute A00-221 certification is an excellent choice for professionals who want to enhance their career prospects in big data management. It is a globally recognized certification that demonstrates the candidates' expertise in SAS programming and big data management. SAS Big Data Programming and Loading certification is ideal for professionals who work in industries such as finance, healthcare, retail, and telecommunications, where big data management is critical. It is also an excellent certification for professionals who want to advance their careers in data analytics, data warehousing, or data management.
One of the key features of the SASInstitute A00-221 exam is that it is focused on big data. A00-221 exam is designed to test the candidate's ability to work with large datasets and to handle complex data management tasks. This means that the exam covers a range of topics, including data manipulation, data transformation, data loading, and data quality. A00-221 exam also covers SAS programming techniques that are specifically designed for big data.
SASInstitute A00-221 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SAS DS2 Programming | 30% | - Read data using DS2 - Work with Methods, Packages, Threads - Work with variables, arrays, ANSI SQL data types - Use expressions and functions in DS2 - Write DS2 programs |
| Topic 2: SAS and Hadoop | 30% | - Query and manage Hive tables using explicit SQL pass-through - Describe baseline requirements for interacting with Hadoop - Work with Hadoop files using SAS/ACCESS LIBNAME - Use the HADOOP procedure and Hadoop FILENAME statement |
| Topic 3: Hadoop Programming | 15% | - Write Hive programs for create, join, query - Write Pig programs for ETL and analysis - Describe Hadoop architecture - Manipulate and load data files via command line |
| Topic 4: Data Manipulation with the IMSTAT Procedure | 25% | - Execute IMSTAT procedures - Use high-performance procedures with SAS LASR Analytic Server - Produce graphs with PROC IMSTAT - Manipulate in-memory data |
