Microsoft 070-775 : Perform Data Engineering on Microsoft Azure HDInsight

070-775 real exams

Exam Code: 070-775

Exam Name: Perform Data Engineering on Microsoft Azure HDInsight

Updated: Jul 21, 2026

Q & A: 63 Questions and Answers

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Perform Data Engineering on Microsoft Azure HDInsight 70-775 Exam

Perform Data Engineering on Microsoft Azure HDInsight 70-775 Exam is centered around Big Data Analytic framework which is one of the hottest topics and technology areas in the industry. Azure HDInsight is one of the services within the Microsoft Azure platform that services the ability to build scalable, Big Data solutions in the cloud. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure, the cloud, and Big Data, Microsoft has added the Perform Data Engineering on Microsoft Azure HDInsight 70-775 Exam.

This certification exam is targeted towards data engineers, data architects, data scientists, and data developers who implement big data engineering workflows on HDInsight. Candidates for this exam should have relevant work experience in big data analytics solutions. Candidates should also be familiar with the features and capabilities of batch data processing, real-time processing, and interactive processing. Candidates who take this exam are expected to be able to apply the Microsoft cloud ecosystem to design and implement big data engineering workflows and to use open source technologies for strategic value-add. This exam only available for the candidates till 30th June 2019 after that this may get replace with some other exam so you can plan get it completed before it get expire.

We think our Perform Data Engineering on Microsoft Azure HDInsight 70-775 Exam Practice Test Paper and Dumps will provide you 100% confidence to make you appear for Microsoft 70-775 Exam.

This is the list of the contents in our Perform Data Engineering on Microsoft Azure HDInsight 70-775 Practice Test:

  • Build Solution that use Hbase
  • Build solutions that use Kafka
  • Configure HDInsight clusters
  • Data analysis using Hive
  • Operationalize Hadoop and Spark
  • Spark streaming applications using DStream API
  • Design batch ETL solutions for big data with Spark
  • Data analysis using Spark SQL

Perform Data Engineering on Microsoft Azure HDInsight 70-775 Dumps will include below mentioned topics with Exam focused percentage

  • Administer and Provision HDInsight Clusters: 20-25%
  • Use Other Services for Machine Learning: 20-25%
  • Implement Big Data Batch Processing Solutions: 20-25%
  • Implement Big Data Interactive Processing Solutions: 20-25%

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MICROSOFT 70-775 certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into a Big Data and Analytics professional.

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Reference: https://www.microsoft.com/en-us/learning/exam-70-775.aspx

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Microsoft 070-775 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Big Data Batch Processing Solutions25%- Operationalize Hadoop and Spark workloads
  • 1. Automate workflows with Apache Oozie
  • 2. Use Azure Data Factory orchestration
- Implement batch processing with Hive and Pig
  • 1. Execute Pig jobs
  • 2. Manage data processing workflows
  • 3. Design Hive-based solutions
- Design ETL solutions with Spark
  • 1. Create Spark ETL processes
  • 2. Optimize Spark performance
  • 3. Process large-scale datasets
Topic 2: Administer and Provision HDInsight Clusters25%- Ingest and prepare data
  • 1. Load data into Azure Data Lake Store
  • 2. Optimize data storage formats
  • 3. Load data into Azure Blob Storage
- Deploy and configure HDInsight clusters
  • 1. Create and manage HDInsight cluster types
  • 2. Customize clusters with script actions
  • 3. Configure storage and networking
- Monitor and troubleshoot clusters
  • 1. Monitor resources with Operations Management Suite
  • 2. Analyze HDInsight logs
  • 3. Use YARN logs and heap dumps
- Secure and manage multi-user clusters
  • 1. Use Ambari and Ranger administration tools
  • 2. Manage user authorization and permissions
  • 3. Configure domain-joined clusters
Topic 3: Implement Big Data Real-Time Processing Solutions25%- Create Spark Streaming applications
  • 1. Implement Structured Streaming
  • 2. Process streaming data in real time
  • 3. Use DStreams
- Implement event processing solutions
  • 1. Use Apache Storm
  • 2. Integrate Apache Kafka
  • 3. Store and process streaming data with HBase
Topic 4: Implement Big Data Interactive Processing Solutions25%- Implement interactive processing on HBase
  • 1. Use Apache Phoenix
  • 2. Query HBase data efficiently
- Perform exploratory data analysis
  • 1. Work with Jupyter notebooks
  • 2. Analyze data with Spark SQL
  • 3. Use Hive for exploration
  • 4. Use Apache Zeppelin
- Create interactive query solutions
  • 1. Use Interactive Hive
  • 2. Use Spark SQL

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