DP-900: Microsoft Azure Data Fundamentals Practice Exams -26

DP-900: Microsoft Azure Data Fundamentals Certification Practice Exam is a comprehensive and reliable resource designed to help aspiring professionals prepare for the DP-900 certification exam. This practice exam is specifically tailored to cover all the essential topics and concepts required to pass the exam with flying colors. With this practice exam, you can gain a deep understanding of Microsoft Azure data services and demonstrate your proficiency in the field.

This practice exam is meticulously crafted by industry experts who have extensive knowledge and experience in Microsoft Azure data services. It includes a wide range of questions that are similar to the ones you will encounter in the actual DP-900 certification exam. By practicing with this exam, you can familiarize yourself with the exam format, question types, and difficulty level, enabling you to feel confident and well-prepared on the day of the actual exam.

DP-900: Microsoft Azure Data Fundamentals Certification Practice Exam provides detailed explanations for each question, allowing you to understand the reasoning behind the correct answers. This not only helps you in memorizing the correct answers but also enhances your overall understanding of Microsoft Azure data services. Additionally, the practice exam includes performance-based questions that simulate real-world scenarios, enabling you to apply your knowledge and skills in practical situations.

DP-900 : Microsoft Azure Data Fundamentals Exam Summary:

• Exam Name : Microsoft Certified - Azure Data Fundamentals

• Exam code: DP-900

• Exam voucher cost: $99 USD

• Exam languages: English, Japanese, Korean, and Simplified Chinese

• Exam format: Multiple-choice, multiple-answer

• Number of questions: 40-60 (estimate)

• Length of exam: 60 minutes

• Passing 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 data

• Describe features of structured data

• Describe features of semi-structured

• Describe features of unstructured data

Identify options for data storage

• Describe common formats for data files

• Describe types of databases

Describe common data workloads

• Describe features of transactional workloads

• Describe features of analytical workloads

Identify roles and responsibilities for data workloads

• Describe responsibilities for database administrators

• Describe responsibilities for data engineers

• Describe responsibilities for data analysts

Identify considerations for relational data on Azure (20–25%)

Describe relational concepts

• Identify features of relational data

• Describe normalization and why it is used

• Identify common structured query language (SQL) statements

• Identify common database objects

Describe relational Azure data services

• Describe the Azure SQL family of products including Azure SQL Database, Azure SQL

• Managed Instance, and SQL Server on Azure Virtual Machines

• Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15–20%)

Describe capabilities of Azure storage

• Describe Azure Blob storage

• Describe Azure File storage

• Describe Azure Table storage

Describe capabilities and features of Azure Cosmos DB

• Identify use cases for Azure Cosmos DB

• Describe Azure Cosmos DB APIs

Describe an analytics workload on Azure (25–30%)

Describe common elements of large-scale analytics

• Describe considerations for data ingestion and processing

• Describe options for analytical data stores

• Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Data-bricks, Azure HDInsight, and Azure Data Factory

Describe consideration for real-time data analytics

• Describe the difference between batch and streaming data

• Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured Streaming

Describe data visualization in Microsoft Power BI

• Identify capabilities of Power BI

• Describe features of data models in Power BI

• Identify appropriate visualizations for data

  
  

In conclusion, the DP-900: Microsoft Azure Data Fundamentals Certification Practice Exam is an invaluable tool for anyone aspiring to become certified in Microsoft Azure data services. With its comprehensive coverage, realistic questions, and detailed explanations, this practice exam will greatly enhance your chances of passing the DP-900 certification exam and kick-starting your career in the field of Microsoft Azure data services.