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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 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:

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

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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%
Administer and Provision HDInsight Clusters: 20-25%
Implement Big Data Interactive Processing Solutions: 20-25%
Implement Big Data Batch Processing Solutions: 20-25%

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

Microsoft 070-775 Exam Syllabus Topics:

Section	Weight	Objectives
Implement Big Data Batch Processing Solutions	25%	- Implement batch processing with Hive and Pig 1. Design Hive-based solutions 2. Execute Pig jobs 3. Manage data processing workflows - Operationalize Hadoop and Spark workloads 1. Use Azure Data Factory orchestration 2. Automate workflows with Apache Oozie - Design ETL solutions with Spark 1. Create Spark ETL processes 2. Process large-scale datasets 3. Optimize Spark performance
Implement Big Data Real-Time Processing Solutions	25%	- Implement event processing solutions 1. Integrate Apache Kafka 2. Use Apache Storm 3. Store and process streaming data with HBase - Create Spark Streaming applications 1. Implement Structured Streaming 2. Use DStreams 3. Process streaming data in real time
Administer and Provision HDInsight Clusters	25%	- 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. Customize clusters with script actions 2. Create and manage HDInsight cluster types 3. Configure storage and networking - Secure and manage multi-user clusters 1. Configure domain-joined clusters 2. Manage user authorization and permissions 3. Use Ambari and Ranger administration tools
Implement Big Data Interactive Processing Solutions	25%	- Perform exploratory data analysis 1. Work with Jupyter notebooks 2. Use Apache Zeppelin 3. Use Hive for exploration 4. Analyze data with Spark SQL - 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

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