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 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 Databricks, 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

  
  

Overall, 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.