Microsoft 070-475 exam is a great way for professionals to demonstrate their expertise in designing and implementing big data analytics solutions using Microsoft technologies. By passing 70-475J exam, candidates can prove that they have the skills and knowledge required to design and implement effective big data solutions using Microsoft technologies. Design and Implement Big Data Analytics Solutions (70-475日本語版) certification can also help professionals advance their careers and provide better job opportunities in the field of big data analytics.
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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. 70-475J 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. 70-475J 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
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Preparing for the Microsoft 070-475 exam requires candidates to have previous experience working with big data technologies, including Hadoop, HDInsight, and Azure. Candidates must also have experience with data warehousing, data visualization, and implementing data security. There are several resources available for candidates who are preparing for the exam, including training courses, tutorials, and practice exams. Microsoft also offers an official study guide that covers all the topics included in the exam.
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Microsoft 70-475日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Implement Big Data Processing | 30% | - Data Processing and Analytics
- 1. Implement HDInsight solutions
- 2. Implement Spark-based analytics
- 3. Develop data transformation workflows
- 4. Process data with Hadoop ecosystem tools
|
| Topic 2: Implement Data Visualization and Reporting | 10% | - Business Intelligence
- 1. Integrate analytics outputs with reporting platforms
- 2. Create analytical reports
- 3. Implement dashboards and visualizations
|
| Topic 3: Design Azure Big Data Solutions | 25% | - Solution Architecture
- 1. Design real-time analytics solutions
- 2. Select appropriate Azure big data services
- 3. Design data storage strategies
- 4. Design batch processing solutions
|
| Topic 4: Manage Security and Operations | 10% | - Administration
- 1. Monitor big data workloads
- 2. Implement security controls
- 3. Optimize performance and scalability
- 4. Manage operational processes
|
| Topic 5: Implement Data Ingestion Solutions | 25% | - Data Acquisition
- 1. Integrate on-premises and cloud data sources
- 2. Implement streaming data collection
- 3. Implement Event Hubs ingestion
- 4. Implement Azure Data Factory pipelines
|