This Exam is designed for students at the Advanced level.
This Exam has been rated by CoListy with a score based on our internal evaluation metrics.
This Exam provides content in Visual format.
This Exam awards a NA upon successful completion of all learning tasks.
The SAS Certified Data Quality Steward for SAS9 exam is designed for professionals working with DataFlux Data Management Studio to perform essential data quality tasks. This certification helps individuals demonstrate their expertise in ensuring data usability by performing key functions such as profiling, cleansing, and monitoring data. Candidates who successfully pass this exam should have a strong understanding of data quality management and be able to effectively use DataFlux to improve data across an organization.
One of the core competencies of the exam is the ability to create and review data explorations and data profiles. These tasks involve examining data to uncover potential issues, inconsistencies, or opportunities for improvement. By profiling data, analysts can gain insights into the structure, patterns, and quality of their datasets, allowing them to take appropriate action for improvement. The ability to create data jobs for data enhancement is another critical skill that is evaluated, as it allows professionals to automate the process of cleansing and enhancing data to meet business needs.
Candidates should also be able to parameterize jobs and business rules within DataFlux Data Management Studio. This involves configuring jobs and rules to handle various data management tasks dynamically, such as setting specific criteria for cleansing or profiling. Furthermore, the ability to create, maintain, and apply business rules and tasks is crucial for ensuring that data meets organizational standards and regulatory requirements.
Understanding the QKB (Quality Knowledge Base) components and their various definition types is also key to passing this certification. The QKB is central to DataFlux as it stores and manages rules, transformations, and other components that address data quality issues. Candidates must demonstrate their ability to apply these QKB components to resolve data quality challenges and ensure that the data is reliable and accurate.
In addition, expanding basic functionalities using Expression Engine Language (EEL) and using macro variables is a skill that allows professionals to customize their data management tasks further. These advanced techniques enable analysts to enhance their data jobs with greater flexibility and precision. Finally, the ability to configure the DataFlux Data Management Server to run jobs ensures that the platform operates efficiently, allowing businesses to manage their data processes effectively.
In conclusion, the SAS Certified Data Quality Steward for SAS9 exam is ideal for professionals looking to enhance their skills in data management and quality assurance using DataFlux Data Management Studio. By mastering the creation of data profiles, data cleansing jobs, business rules, and advanced customization techniques, candidates will be well-equipped to ensure the reliability and quality of the data in their organizations. This certification is a valuable asset for data professionals aiming to work in data quality roles and contribute to improved data governance.
