Overview

Microsoft Azure Data Fundamentals (DP-900) Certification Practice Exam is a comprehensive and rigorous assessment tool designed to evaluate the knowledge and skills of individuals seeking to obtain certification in the field of data fundamentals. This practice exam is specifically tailored to assess the proficiency of candidates in the core concepts of data storage, processing, and management in the context of Microsoft Azure.The practice exam offers a range of benefits to candidates, including the opportunity to test their knowledge and skills in a simulated exam environment that closely mirrors the actual certification exam. This enables candidates to identify areas of weakness and focus their study efforts accordingly, thereby increasing their chances of success in the certification exam.Moreover, the practice exam is designed to provide candidates with a realistic and challenging experience that prepares them for the demands of the actual certification exam. This includes a range of question types, such as multiple-choice, drag-and-drop, and scenario-based questions, which are designed to test the candidate's ability to apply their knowledge in real-world scenarios.In addition, the practice exam is designed to provide candidates with detailed feedback on their performance, including a breakdown of their scores by topic area. This enables candidates to identify areas of strength and weakness and adjust their study plan accordingly.DP-900: Microsoft Azure Data Fundamentals Exam Summary:Exam Name: Microsoft Certified - Azure Data FundamentalsExam code: DP-900Exam voucher cost: $99 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 40-60 (estimate)Length of exam: 60 minutesPassing grade: Score is from 750-1000.DP-900: Microsoft Azure Data Fundamentals Exam Syllabus Topics:Describe core data concepts (25-30%)Describe ways to represent dataDescribe features of structured dataDescribe features of semi-structuredDescribe features of unstructured dataIdentify options for data storageDescribe common formats for data filesDescribe types of databasesDescribe common data workloadsDescribe features of transactional workloadsDescribe features of analytical workloadsIdentify roles and responsibilities for data workloadsDescribe responsibilities for database administratorsDescribe responsibilities for data engineersDescribe responsibilities for data analystsIdentify considerations for relational data on Azure (20-25%)Describe relational conceptsIdentify features of relational dataDescribe normalization and why it is usedIdentify common structured query language (SQL) statementsIdentify common database objectsDescribe relational Azure data servicesDescribe the Azure SQL family of products including Azure SQL Database, Azure SQLManaged Instance, and SQL Server on Azure Virtual MachinesIdentify Azure database services for open-source database systemsDescribe considerations for working with non-relational data on Azure (15-20%)Describe capabilities of Azure storageDescribe Azure Blob storageDescribe Azure File storageDescribe Azure Table storageDescribe capabilities and features of Azure Cosmos DBIdentify use cases for Azure Cosmos DBDescribe Azure Cosmos DB APIsDescribe an analytics workload on Azure (25-30%)Describe common elements of large-scale analyticsDescribe considerations for data ingestion and processingDescribe options for analytical data storesDescribe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data FactoryDescribe consideration for real-time data analyticsDescribe the difference between batch and streaming dataDescribe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured StreamingDescribe data visualization in Microsoft Power BIIdentify capabilities of Power BIDescribe features of data models in Power BIIdentify appropriate visualizations for dataOverall, the Microsoft Azure Data Fundamentals (DP-900) Certification Practice Exam is an essential tool for individuals seeking to obtain certification in the field of data fundamentals. Its comprehensive and rigorous assessment approach, combined with its detailed feedback and realistic exam environment, make it an invaluable resource for candidates seeking to achieve success in their certification exam.

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