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Microsoft 070-475 is a certification exam that is designed to validate the knowledge and skills required for designing and implementing big data analytics solutions using Microsoft Azure. Design and Implement Big Data Analytics Solutions certification exam is intended for professionals who are involved in designing, implementing, and maintaining big data solutions using Azure technologies. 070-475 exam tests the candidate's ability to work with various Azure big data technologies such as Azure HDInsight, Azure Stream Analytics, Azure Data Factory, and others.
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
Microsoft 070-475 exam covers a wide range of topics related to big data analytics, including data analysis, data processing, data storage, and data visualization. 070-475 exam also covers key concepts such as data governance, data security, and data privacy. Candidates are expected to have a deep understanding of these topics and be able to apply their knowledge to real-world scenarios.
Microsoft 070-475: Design and Implement Big Data Analytics Solutions exam is a valuable certification for professionals in the big data analytics field. It validates their skills in designing and implementing big data analytics solutions using Microsoft technologies, which can help them stand out in a competitive job market. With the right preparation and training, candidates can successfully pass the exam and boost their careers.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Big Data Real-Time Processing Solutions | 25-30% | - Design for real-time processing - Design and provision compute resources - Design for Lambda architecture - Ingest data for real-time processing |
| Topic 2: Design Machine Learning Solutions | 25-30% | - Create and manage experiments - Publish machine learning web services - Apply custom processing with R and Python - Determine pre-processing and training locations - Select input/output data types |
| Topic 3: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Design deployment strategies - Monitor and manage data pipelines - Create and configure Azure Data Factory - Orchestrate data processing workflows - Move, transform, and analyze data |
| Topic 4: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for data security - Design for batch processing - Design interactive queries for big data - Ingest data for batch and interactive processing - Design and provision compute clusters |
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