Microsoft 070-775 Exam Details & Actual Exam Questions

  • Exam Code/Number: 070-775
  • Exam Name/Title: Perform Data Engineering on Microsoft Azure HDInsight
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Azure HDInsight
  • Exam Questions: 63
  • Updated On: Sep,01 2026
  • Certification Level: Professional

Microsoft Perform Data Engineering on Microsoft Azure HDInsight Exam Questions

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Microsoft 070-775 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Perform Data Engineering on Microsoft Azure HDInsight
Exam Number:70-775
Available Languages:English
Related Certifications:70-776 Perform Big Data Engineering on Microsoft Cloud Services
MCSE: Data Management and Analytics
Certificate Validity Period:MCSA certification retired, no active validity
Exam Price:$165 USD (varies by region)
Exam Duration:120 minutes
Real Exam Qty:40-60
Exam Format:Multiple choice, Build list/reorder, Case studies, Drag and drop
Passing Score:700 / 1000
Recommended Training:Course 20775A: Perform Data Engineering on Microsoft Azure HDInsight
Exam Ref 70-775 Study Guide
Exam Registration:Microsoft Exam Registration
Pearson VUE Scheduling
Sample Questions:Microsoft 070-775 Sample Questions
Exam Way:Online proctored or at authorized Pearson VUE test centers
Pre Condition:No formal prerequisites; recommended experience with Azure, HDInsight, Hadoop ecosystem
Official Syllabus URL:https://www.microsoft.com/en-us/learning/exam-70-775.aspx

Microsoft 070-775 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Big Data Real-Time Processing Solutions20%- Integrate with Kafka, Storm and HBase
  • 1. Build end-to-end real-time pipelines
    - Develop Spark Streaming applications
    • 1. Use DStream and Structured Streaming
      Topic 2: Implement Big Data Batch Processing Solutions30%- Use Apache Hive and Pig
      • 1. Design and execute batch ETL
        • 2. Optimize Hive queries
          - Work with Apache Spark
          • 1. Operationalize Spark jobs
            • 2. Develop batch applications
              Topic 3: Implement Big Data Interactive Processing Solutions20%- Access data with Apache Phoenix on HBase
              - Query data with Spark SQL and Interactive Hive
              • 1. Use notebooks: Jupyter, Zeppelin
                • 2. Perform exploratory analysis
                  Topic 4: Administer and Provision HDInsight Clusters30%- Deploy and configure HDInsight clusters
                  • 1. Secure clusters and manage access
                    • 2. Configure storage and networking
                      • 3. Choose cluster types and sizes
                        - Ingest and manage data
                        • 1. Import data from various sources
                          • 2. Monitor and debug jobs
                            • 3. Scale and maintain clusters


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