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Microsoft 070-775 dumps - in .pdf

070-775 pdf
  • Exam Code: 070-775
  • Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
  • Updated: Sep 13, 2026
  • Q & A: 63 Questions and Answers
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  • Exam Code: 070-775
  • Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
  • Updated: Sep 13, 2026
  • Q & A: 63 Questions and Answers
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  • Exam Code: 070-775
  • Exam Name: Perform Data Engineering on Microsoft Azure HDInsight
  • Updated: Sep 13, 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:

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

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Overview about MICROSOFT 70-775 Exam

  • Number of Questions: 40-60
  • Format: Multiple choice, multiple answer
  • Passing Score: 70-80%
  • Length of Examination: 120 minutes
  • Registration Fee: 165 USD

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

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

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

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070-775 exam dumps

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Microsoft 070-775 Exam Syllabus Topics:

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

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