Microsoft Azure Data Fundamentals
Last Update November 22, 2024
Total Questions : 306
Our Microsoft Certified: Azure Data Fundamentals DP-900 exam questions and answers cover all the topics of the latest Microsoft Azure Data Fundamentals exam, See the topics listed below. We also provide Microsoft DP-900 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Microsoft DP-900 resources to help you understand the topics covered in the exam, such as Microsoft Certified: Azure Data Fundamentals video tutorials, DP-900 study guides, and DP-900 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | Microsoft Azure Data Fundamentals |
| Exam Code | DP-900 |
| Actual Exam Duration | The duration of the Microsoft DP-900 exam is approximately 60 minutes. |
| Expected no. of Questions in Actual Exam | 60 |
| What exam is all about | Microsoft DP-900 is an exam that tests the candidate's knowledge and skills in understanding the fundamentals of Microsoft Azure data services. The exam covers various topics related to Azure data services, including data storage options, data processing, data security, and data analytics. The exam is designed for individuals who want to demonstrate their expertise in Azure data services and pursue a career in data management and analytics. Passing the DP-900 exam is a prerequisite for other advanced-level Azure data services certifications. |
| Passing Score required | The passing score required in the Microsoft DP-900 exam is 700 out of 1000. This means that you need to answer at least 70% of the questions correctly to pass the exam. The actual passing score may vary depending on the difficulty level of the exam. It is recommended to aim for a higher score to ensure a better chance of passing the exam. |
| Competency Level required | Based on the official Microsoft DP-900 Exam page, the exam is designed for individuals who want to demonstrate foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. The exam is intended for candidates who are just beginning to work with data in the cloud. Therefore, the competency level required for the exam is considered to be at the foundational level. |
| Questions Format | The Microsoft DP-900 exam consists of multiple-choice questions, drag and drop questions, and scenario-based questions. The exam may also include questions that require the candidate to select multiple correct answers. |
| Delivery of Exam | The Microsoft DP-900 exam is a computer-based exam that is delivered through the Microsoft Certification Exam platform. It is a multiple-choice exam that consists of 40-60 questions and has a time limit of 60 minutes. The exam can be taken online or in-person at a testing center. |
| Language offered | English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian |
| Cost of exam | $99 USD |
| Target Audience | The Microsoft DP-900 exam is designed for individuals who want to demonstrate their knowledge of data fundamentals on the Microsoft Azure platform. The target audience for this exam includes: 1. Data professionals who want to learn about the Azure data services and how to use them to build data solutions. 2. Business analysts who want to understand how to use Azure data services to analyze and visualize data. 3. Developers who want to learn how to use Azure data services to build data-driven applications. 4. IT professionals who want to learn how to use Azure data services to manage and secure data. 5. Students and educators who want to learn about Azure data services and how they can be used in real-world scenarios. Overall, the DP-900 exam is suitable for anyone who wants to gain a foundational understanding of data fundamentals on the Azure platform. |
| Average Salary in Market | The average salary for a Microsoft Certified Azure Data Fundamentals professional is around $85,000 per year in the United States. However, the salary may vary depending on the location, industry, and experience level of the individual. |
| Testing Provider | You can visit the official Microsoft website to register for the exam and find authorized testing centers near you. |
| Recommended Experience | The Microsoft DP-900 exam is designed for individuals who want to demonstrate their knowledge of core data concepts and how they are implemented using Microsoft Azure data services. The recommended experience for this exam includes: 1. Basic knowledge of data concepts and terminology, such as relational databases, data warehouses, and data lakes. 2. Familiarity with Microsoft Azure services, including Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Cosmos DB. 3. Understanding of data processing and transformation techniques, such as ETL and ELT. 4. Knowledge of data security and compliance requirements, including GDPR and HIPAA. 5. Familiarity with programming languages such as SQL and Python. It is also recommended that candidates have some experience working with data and data-related technologies, as well as a basic understanding of cloud computing concepts. |
| Prerequisite | The prerequisite for the Microsoft DP-900 exam is a basic understanding of cloud computing concepts and familiarity with Microsoft Azure services. It is recommended to have some experience with data storage solutions, data processing, and data visualization. However, there are no specific prerequisites or mandatory certifications required to take the DP-900 exam. |
| Retirement (If Applicable) | Microsoft usually announces the retirement date of an exam at least six months in advance. You can check the Microsoft Certification website or contact Microsoft support for the latest information on the retirement date of the DP-900 exam. |
| Certification Track (RoadMap): | The Microsoft DP-900 exam is a certification exam that focuses on the fundamentals of Azure data services. It is designed for individuals who want to demonstrate their knowledge of data concepts and how they are implemented in Azure. The certification track/roadmap for the Microsoft DP-900 exam includes the following steps: 1. Understand the exam objectives: The first step in preparing for the DP-900 exam is to understand the exam objectives. This includes understanding the topics that will be covered in the exam, such as data storage options, data processing options, and data security. 2. Study the exam materials: Once you understand the exam objectives, you can start studying the exam materials. Microsoft provides a range of resources to help you prepare for the exam, including online courses, study guides, and practice exams. 3. Take the exam: After you have studied the exam materials, you can take the DP-900 exam. The exam consists of multiple-choice questions and is designed to test your knowledge of Azure data services. 4. Get certified: If you pass the DP-900 exam, you will receive a Microsoft certification that demonstrates your knowledge of Azure data services. This certification can help you advance your career in data management and analytics. 5. Continue your learning: After you have received your certification, it is important to continue your learning and stay up-to-date with the latest developments in Azure data services. Microsoft offers a range of advanced certifications that can help you deepen your knowledge and expertise in this area. |
| Official Information | https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900 |
| See Expected Questions | Microsoft DP-900 Expected Questions in Actual Exam |
| Take Self-Assessment | Use Microsoft DP-900 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
| Section | Weight | Objectives |
|---|---|---|
| Describe data ingestion and processing on Azure | 25-30% | - describe common practices for data loading - describe the components of Azure Data Factory (e.g., pipeline, activities, etc.) - describe data processing options (e.g., Azure HDInsight, Azure Databricks, Azure Synapse Analytics, Azure Data Factory) |
| Describe data visualization in Microsoft Power BI | 25-30% | - describe the role of paginated reporting - describe the role of interactive reports - describe the role of dashboards - describe the workflow in Power BI |
| Describe the components of a modern data warehouse | 25-30% | - describe Azure data services for modern data warehousing such as Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight - describe modern data warehousing architecture and workload |
| Describe analytics workloads | 25-30% | - describe transactional workloads - describe the difference between a transactional and an analytics workload - describe the difference between batch and real time - describe data warehousing workloads - determine when a data warehouse solution is needed |
| Identify basic management tasks for non-relational data | 25-30% | - describe provisioning and deployment of non-relational data services - describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI) - identify data security components (e.g., firewall, authentication, encryption) - identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls) - identify management tools for non-relational data |
| Describe non-relational data workloads | 25-30% | - describe the characteristics of non-relational data - describe the types of non-relational and NoSQL data - recommend the correct data store - determine when to use non-relational data |
| Describe non-relational data offerings on Azure | 25-30% | - identify Azure data services for non-relational workloads - describe Azure Cosmos DB APIs - describe Azure Table storage - describe Azure Blob storage - describe Azure File storage |
| Describe query techniques for data using SQL language | 25-30% | - compare Data Definition Language (DDL) versus Data Manipulation Language (DML) - query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL |
| Identify basic management tasks for relational data | 25-30% | - describe provisioning and deployment of relational data services - describe method for deployment including the Azure portal, Azure Resource Manager templates, Azure PowerShell, and the Azure command-line interface (CLI) - identify data security components (e.g., firewall, authentication) - identify basic connectivity issues (e.g., accessing from on-premises, access with Azure VNets, access from Internet, authentication, firewalls) - identify query tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd utility, etc.) |
| Describe relational Azure data services | 15-20% | - describe and compare PaaS, IaaS, and SaaS solutions - describe Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines - describe Azure Synapse Analytics - describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL |
| Describe relational data workloads | 25-30% | - identify the right data offering for a relational workload - describe relational data structures (e.g., tables, index, views) |
| Describe types of core data workloads | 15-20% | - describe batch data - describe streaming data - describe the difference between batch and streaming data - describe the characteristics of relational data |
| Describe data analytics core concepts | 15-20% | - describe data visualization (e.g., visualization, reporting, business intelligence (BI)) - describe basic chart types such as bar charts and pie charts - describe analytics techniques (e.g., descriptive, diagnostic, predictive, prescriptive, cognitive) - describe ELT and ETL processing - describe the concepts of data processing |
TESTED 22 Nov 2024
