DP-900: Microsoft Azure Data Fundamentals Exam Prep In 2024

DP-900: Microsoft Azure Data Fundamentals certification is designed to provide foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. This certification is ideal for individuals seeking to establish a solid understanding of data management and analytics in the cloud environment. It covers essential topics such as relational and non-relational data, data warehousing, and data processing, equipping candidates with the skills necessary to navigate the complexities of data in modern business scenarios. By obtaining this certification, professionals can demonstrate their ability to leverage Azure’s data services to meet organizational needs effectively.

DP-900 certification encompasses a wide range of subjects, including the principles of data storage and processing, the differences between various data types, and the significance of data governance and security. Participants will explore Azure’s diverse data offerings, such as Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics, gaining insights into how these services can be utilized to optimize data solutions. Furthermore, the course emphasizes the importance of data analytics and visualization, providing learners with the tools to interpret and present data-driven insights that can influence strategic decision-making within their organizations.

DP-900: Microsoft Azure Data Fundamentals Certification Practice Exam is an essential resource designed for individuals seeking to validate their foundational knowledge of core data concepts and Microsoft Azure data services. This practice exam encompasses a comprehensive range of topics, including relational and non-relational data, data ingestion, data processing, and data storage solutions. By simulating the actual certification exam environment, this resource allows candidates to familiarize themselves with the format and types of questions they will encounter, thereby enhancing their confidence and readiness for the official assessment.

This practice exam is meticulously crafted to reflect the objectives outlined in the DP-900 certification syllabus, ensuring that users are well-prepared for the examination. The exam covers critical areas such as Azure data services, including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage, among others. Additionally, the practice exam provides detailed explanations for each answer, allowing candidates to understand their mistakes and learn from them. This feature not only aids in reinforcing knowledge but also promotes a deeper comprehension of how various Azure services can be utilized in real-world scenarios.

Achieving the DP-900 certification not only enhances an individual’s technical proficiency but also significantly boosts their career prospects in the rapidly evolving field of data science and analytics. As organizations increasingly rely on data to drive their operations, the demand for professionals with a solid understanding of cloud-based data solutions continues to grow. This certification serves as a stepping stone for further specialization in data-related roles, such as data analyst, data engineer, or data scientist. By completing the DP-900 certification, candidates position themselves as valuable assets in the workforce, ready to tackle the challenges of data management and analytics in a cloud-centric world.

DP-900 : Microsoft Azure Data FundamentalsExam 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%)

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

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

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

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

Furthermore, the DP-900 practice exam is designed to be user-friendly, featuring an intuitive interface that allows for easy navigation and progress tracking. Candidates can take the exam at their own pace, making it a flexible study tool that accommodates various learning styles and schedules. The resource is particularly beneficial for professionals looking to enhance their career prospects in data management and analytics, as the DP-900 certification is recognized globally as a benchmark for foundational data skills in the context of Microsoft Azure. By investing in this practice exam, candidates are not only preparing for certification but also equipping themselves with the knowledge necessary to thrive in a data-driven landscape.

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