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For most IT workers, having the aspiration of getting 70-775 certification are very normal. As one exam of Microsoft, 70-775 enjoys high popularity in IT workers. Getting 70-775 certification means you have chance to enter big companies and meet with extraordinary people from all walks of life. Besides, you may have considerable salary and good promotion in the future. So Getting 70-775 certification will become an important turning point in your life. But you know that good things never come easy. 70-775 test questions are high quality and professional, which need plenty time to prepare. The matter is that you have no time to prepare the 70-775 test dump and you will suffer great loss if you failed. Don't worry, GetValidTest will help you pass the 70-775 valid test quickly and effectively.

To be eligible for the exam, candidates should have at least two years of experience in data engineering along with a sound knowledge of Microsoft Azure cloud services. They should also have a good understanding of big data concepts such as batch and real-time processing, data ingestion, transformation, and storage.

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Candidates who pass the 070-775 exam will demonstrate their ability to perform various data engineering tasks including data ingestion, transformation, and visualization. They will also be expected to demonstrate expertise in working with big data storage systems such as Azure Data Lake Storage and Microsoft Azure Blob Storage. Additionally, successful candidates will be well-versed in troubleshooting common big data issues, as well as optimizing and monitoring HDInsight clusters to ensure maximum performance and availability.

Preparing for the Microsoft 070-775 certification exam involves gaining hands-on experience with Azure HDInsight, as well as studying relevant documentation and resources. Microsoft offers a variety of training courses and certifications for HDInsight and big data solutions, including the Microsoft Certified: Azure Data Engineer Associate certification. Candidates may also benefit from practicing with sample exam questions and participating in online study groups or forums.

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

Microsoft 70-775 Exam Syllabus Topics:

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