Achieving the Microsoft 070-475 certification is valuable for IT professionals looking to advance their career in data analytics. Design and Implement Big Data Analytics Solutions certification demonstrates expertise in big data analytics and indicates familiarity with Microsoft technologies for data analysis. With this certification, individuals can showcase their skills to potential employers and improve their chances of career advancement. Moreover, the certification provides a stepping-stone to more advanced certifications and career opportunities in big data and analytics.
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
Microsoft 070-475 Exam measures a candidate's ability to design and implement big data analytics solutions using a variety of tools and technologies. Candidates will be tested on their knowledge of Hadoop, Hive, Pig, Spark, Stream Analytics, and other big data technologies. They will also be tested on their ability to design and implement data pipelines, data processing workflows, and data visualization solutions.
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Microsoft 70-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Implement Data Ingestion Solutions | 25% | - Data Acquisition
- 1. Implement streaming data collection
- 2. Implement Azure Data Factory pipelines
- 3. Implement Event Hubs ingestion
- 4. Integrate on-premises and cloud data sources
|
| Implement Big Data Processing | 30% | - Data Processing and Analytics
- 1. Implement Spark-based analytics
- 2. Process data with Hadoop ecosystem tools
- 3. Implement HDInsight solutions
- 4. Develop data transformation workflows
|
| Manage Security and Operations | 10% | - Administration
- 1. Manage operational processes
- 2. Optimize performance and scalability
- 3. Implement security controls
- 4. Monitor big data workloads
|
| Implement Data Visualization and Reporting | 10% | - Business Intelligence
- 1. Implement dashboards and visualizations
- 2. Integrate analytics outputs with reporting platforms
- 3. Create analytical reports
|
| Design Azure Big Data Solutions | 25% | - Solution Architecture
- 1. Design data storage strategies
- 2. Design real-time analytics solutions
- 3. Select appropriate Azure big data services
- 4. Design batch processing solutions
|