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AWS Data Exchange Test

The AWS Data Exchange assessment measures expertise in dataset management, AWS service integration, compliance adherence, and data monetization—key for roles in data management and analytics.

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6 skills measured

Managing Third-Party Data SetsDataset Import & ExportIntegration with S3, Glue & AthenaData Governance & Compliance ManagementData Product Development & MonetizationData Activity Monitoring & Problem Resolution
Test TypeRole Expertise
Duration10 Mins
LevelIntermediate
Questions12

About the AWS Data Exchange Test

The AWS Data Exchange assessment measures a candidate's expertise in navigating, subscribing to, and managing third-party datasets via AWS Data Exchange. It's an essential evaluation for positions requiring data management, integration, compliance, and data monetization skills across various industries.

In today's data-centric environment, proficient handling and utilization of datasets is vital. This exam tests key competencies like subscription plan knowledge, data product formats, and automated updates. It verifies a candidate's ability to control dataset access, track subscription utilization, and incorporate data into analytics processes—skills critical to sectors such as finance, healthcare, and technology where data drives decisions.

The test also covers import/export capabilities, including dataset creation, publishing, version control, and license comprehension. These abilities support secure data sharing while maintaining compliance—especially important for handling sensitive information.

Integration skills involving AWS services like S3, Glue, and Athena are evaluated, focusing on workflow automation, data querying, and scaling operations. Mastery in these areas promotes efficient data pipelines and real-time insights, beneficial for organizations leveraging big data.

Additionally, governance and compliance management are assessed, including configuring IAM roles, access permissions, and data security. These competencies ensure adherence to policies and safeguard data integrity in regulated industries.

Candidates are further tested on data monetization strategies, covering the creation and publication of data products with knowledge of pricing models and customer handling—key for organizations aiming to generate revenue through data sharing.

Finally, skills in monitoring and troubleshooting data workflows with tools like CloudWatch are examined, focusing on logging, diagnosing failures, and optimizing processes to ensure consistent data performance and reliability.

Overall, this comprehensive test identifies professionals capable of effective data management and utilization, making it a valuable resource for talent acquisition in data-driven sectors.

Relevant for

  • Cloud Architect
  • Data Engineer
  • Data Scientist
  • Business Analyst
  • Data Governance Specialist

Skills Measured

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