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

070-775 actual test
  • Exam Code: 070-775
  • Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
  • Updated: Jul 28, 2026
  • Q & A: 63 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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It is one of the toughest exam and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Big Data analytics on Microsoft. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data, Machine Learning, Data Science, Data Analytics.

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Perform Data Engineering on Microsoft Azure HDInsight 70-775 Dumps Provided Study Notes

TestPassed expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Data Engineering on Microsoft Azure HDInsight 70-775 Dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

  • OMS
  • Kafka
  • Azure Storage
  • HDInsight Cluster
  • Hive Tables
  • Spark Datasets
  • Eventhub
  • Azure Datafactory
  • Azure ARM Templates
  • Hbase
  • BI Tools
  • Hadoop Services
  • Azure DataLake

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

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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:

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

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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. Manage data processing workflows
  • 2. Design Hive-based solutions
  • 3. Execute Pig jobs
- 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%- Secure and manage multi-user clusters
  • 1. Use Ambari and Ranger administration tools
  • 2. Manage user authorization and permissions
  • 3. Configure domain-joined clusters
- Monitor and troubleshoot clusters
  • 1. Analyze HDInsight logs
  • 2. Monitor resources with Operations Management Suite
  • 3. Use YARN logs and heap dumps
- Ingest and prepare data
  • 1. Load data into Azure Blob Storage
  • 2. Optimize data storage formats
  • 3. Load data into Azure Data Lake Store
- Deploy and configure HDInsight clusters
  • 1. Configure storage and networking
  • 2. Create and manage HDInsight cluster types
  • 3. Customize clusters with script actions
Topic 3: Implement Big Data Interactive Processing Solutions25%- Create interactive query solutions
  • 1. Use Interactive Hive
  • 2. Use Spark SQL
- 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 Apache Zeppelin
  • 4. Use Hive for exploration
Topic 4: Implement Big Data Real-Time Processing Solutions25%- Implement event processing solutions
  • 1. Integrate Apache Kafka
  • 2. Store and process streaming data with HBase
  • 3. Use Apache Storm
- Create Spark Streaming applications
  • 1. Process streaming data in real time
  • 2. Implement Structured Streaming
  • 3. Use DStreams

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