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Microsoft 070-475 certification exam is designed to test the skills and knowledge of professionals in the field of big data analytics. Design and Implement Big Data Analytics Solutions certification is intended for individuals who are responsible for designing and implementing big data analytics solutions for organizations. 070-475 exam focuses on topics such as data processing, data storage, data analysis, and data visualization.

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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.

Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx

Candidates who wish to take 070-475 exam must be familiar with Microsoft Azure, HDInsight, Hadoop, Spark, and other big data platforms. They should also have experience working with big data technologies such as Microsoft Azure Data Lake Store and Data Lake Analytics. Professionals who pass 070-475 exam will be able to demonstrate their knowledge and competence in big data and analytics solutions, which is a highly sought-after skill in the marketplace.

Microsoft 070-475 certification exam is aimed at individuals who want to design and implement big data analytics solutions. 070-475 exam assesses an individual’s knowledge and skills in managing and analyzing data, detecting trends, and forecasting future performance. It also evaluates the candidate's expertise in creating suitable data models, designing data processing algorithms, and deploying big data analytics solutions. Successful completion of 070-475 exam leads to certification as a Microsoft Certified Solutions Expert (MCSE) in the area of data management and analytics.

Microsoft 070-475 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Design real-time analytics solutions
  • 2. Design batch processing solutions
  • 3. Design data storage strategies
  • 4. Select appropriate Azure big data services
Topic 2: Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Implement Spark-based analytics
  • 2. Implement HDInsight solutions
  • 3. Develop data transformation workflows
  • 4. Process data with Hadoop ecosystem tools
Topic 3: Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Implement Event Hubs ingestion
  • 2. Implement streaming data collection
  • 3. Implement Azure Data Factory pipelines
  • 4. Integrate on-premises and cloud data sources
Topic 4: Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Create analytical reports
  • 2. Implement dashboards and visualizations
  • 3. Integrate analytics outputs with reporting platforms
Topic 5: Manage Security and Operations10%- Administration
  • 1. Manage operational processes
  • 2. Optimize performance and scalability
  • 3. Monitor big data workloads
  • 4. Implement security controls

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