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Microsoft 070-475 exam is designed for professionals who want to demonstrate their ability to design and implement big data analytics solutions using Microsoft technologies. 70-475 exam is part of the Microsoft Certified Solutions Expert (MCSE) certification program and validates the skills required to implement big data analytics solutions using Microsoft technologies such as Azure HDInsight, Azure Stream Analytics, and Microsoft Power BI. 70-475 exam covers topics such as designing big data solutions, implementing big data processing, implementing big data storage, and designing and implementing machine learning solutions.
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
The 070-475 exam is designed for professionals who are interested in designing and implementing big data analytics solutions using Microsoft technologies. 70-475 exam tests the candidate’s knowledge and skills in various areas including data analysis, visualisation, data modelling and processing, as well as implementing big data analytics solutions in the Azure cloud platform.
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Microsoft 070-475 certification exam is an essential certification for big data professionals. Candidates who have passed this certification exam are highly sought after by top companies that require professionals with big data analytics skills. Design and Implement Big Data Analytics Solutions certification is proof that the candidate has the knowledge and skills to design and implement big data solutions using Microsoft technologies.
Microsoft 70-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Manage Security and Operations | 10% | - Administration
- 1. Manage operational processes
- 2. Optimize performance and scalability
- 3. Monitor big data workloads
- 4. Implement security controls
|
| Design Azure Big Data Solutions | 25% | - Solution Architecture
- 1. Select appropriate Azure big data services
- 2. Design data storage strategies
- 3. Design batch processing solutions
- 4. Design real-time analytics solutions
|
| Implement Data Visualization and Reporting | 10% | - Business Intelligence
- 1. Integrate analytics outputs with reporting platforms
- 2. Create analytical reports
- 3. Implement dashboards and visualizations
|
| Implement Data Ingestion Solutions | 25% | - Data Acquisition
- 1. Implement Azure Data Factory pipelines
- 2. Integrate on-premises and cloud data sources
- 3. Implement Event Hubs ingestion
- 4. Implement streaming data collection
|
| Implement Big Data Processing | 30% | - Data Processing and Analytics
- 1. Implement Spark-based analytics
- 2. Implement HDInsight solutions
- 3. Process data with Hadoop ecosystem tools
- 4. Develop data transformation workflows
|