Exam 70-475 (Designing and Implementing Big Data Analytics Solutions)

Skills Measured – Some Links

• • Design big data batch processing and interactive solutions (20-25%)

    • Ingest data for batch and interactive processing, design and provision compute clusters, design for data security, design for batch processing, design interactive queries for big data
      • https://azure.microsoft.com/en-us/documentation/services/data-lake-store/
      • https://azure.microsoft.com/en-us/documentation/services/sql-data-warehouse/
      • https://azure.microsoft.com/en-us/documentation/articles/batch-api-basics/
      • https://azure.microsoft.com/en-us/documentation/services/data-lake-analytics/

    Design big data real-time processing solutions (25-30%)

    • Ingest data for real-time processing, design and provision compute resources, design for lambda architecture, design for real-time processing
      • https://azure.microsoft.com/en-us/documentation/services/event-hubs/
    • • https://azure.microsoft.com/en-us/documentation/services/stream-analytics/
      • https://azure.microsoft.com/en-us/documentation/articles/hdinsight-hadoop-introduction/#overview and following the learning guide: https://azure.microsoft.com/en-us/documentation/learning-paths/hdinsight-self-guided-hadoop-training/ – remember you need to appreciate Spark and Storm

    Design machine-learning solutions (25-30%)

    • Create and manage experiments, determine when to pre-process or train inside Machine Learning Studio, select input/output types, apply custom processing steps with R and Python, publish web services
      • This is the one resource that will probably tip you over to passing this section. Fudge, I should have read it with more gusto, especially since the author is a fellow CSA and it is an easy read: http://blogs.msdn.com/b/microsoft_press/archive/2015/04/15/free-ebook-microsoft-azure-essentials-azure-machine-learning.aspx
      • https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/
      • https://azure.microsoft.com/en-us/documentation/articles/machine-learning-publish-a-machine-learning-web-service/
      • https://azure.microsoft.com/en-us/documentation/articles/machine-learning-retrain-models-programmatically/

    Operationalize end-to-end cloud analytics solutions (25-30%)

    • Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor and manage the data factory, move, transform, and analyze data
      • https://azure.microsoft.com/en-us/documentation/learning-paths/data-factory/ ß I love these learning paths, this is a good one
      • https://azure.microsoft.com/en-us/documentation/articles/data-factory-monitor-manage-pipelines/
      • https://azure.microsoft.com/en-us/documentation/articles/data-factory-data-movement-activities/
      • https://azure.microsoft.com/en-us/documentation/articles/data-factory-data-processing-using-batch/

Useful Videos:https://mva.microsoft.com/en-US/training-courses/design-and-implement-big-data-advanced-analytics-solutions-16531?l=9OzFyzWdC_5006218965

https://www.youtube.com/watch?v=4j2txHfBqzE

Other links:https://www.microsoft.com/en-us/learning/exam-70-475.aspxhttps://www.microsoft.com/en-us/learning/exam-70-475.aspx