Microsoft DP-900 Questions & Answers - in .pdf
- Total Q&A: 320
- Update: Jul 23, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: DP-900
- Exam Name: Microsoft Azure Data Fundamentals
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Microsoft DP-900 Q&A - Testing Engine
- Total Q&A: 320
- Update: Jul 23, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: DP-900
- Exam Name: Microsoft Azure Data Fundamentals
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.Microsoft DP-900 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Number: | DP-900 |
| Exam Price: | USD 99 |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | N/A |
| Exam Format: | Multiple-choice, Scenario-based |
| Exam Duration: | 65 minutes |
| Related Certifications: | Microsoft Certified: Azure Data Fundamentals |
| Sample Questions: | Microsoft DP-900 Sample Questions |
| Exam Way: | Pearson VUE |
| Pre Condition: | There are no prerequisites for this exam. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900 |
Microsoft DP-900 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Describe core data concepts (15-20%) | |
| Describe types of core data workloads | - 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 | - 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 |
Describe how to work with relational data on Azure (25-30%) | |
| Describe relational data workloads | - identify the right data offering for a relational workload - describe relational data structures (e.g., tables, index, views) |
| Describe relational Azure data services | - 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 |
| Identify basic management tasks for relational data | - 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 query techniques for data using SQL language | - 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 |
Describe how to work with non-relational data on Azure (25-30%) | |
| Describe non-relational data workloads | - 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 | - 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 |
| Identify basic management tasks for non-relational data | - 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 an analytics workload on Azure (25-30%) | |
| Describe analytics workloads | - 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 |
| Describe the components of a modern data warehouse | - 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 data ingestion and processing on Azure | - 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 | - describe the role of paginated reporting - describe the role of interactive reports - describe the role of dashboards - describe the workflow in Power BI |
How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
- Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
- Step 2: Sign up/log in to the Pearson VUE account
- Step 3: Select a local center based on your country, date, time and confirm with a payment method.
The Importance of Microsoft DP-900 Certification
The importance of Microsoft DP-900 certification is to evaluate the skills level of candidates. Learning and keeping up to date on modern technology tools can be just as crucial as the knowledge and skills that you earn in a professional setting. Ddl and Db, and data storage and data security principles. Utility of knowledge, the candidates will get a better understanding of the industry and get a better chance to determine what they can do with their skills. Bit knowledge in this field can provide you with more job opportunities in the field of data management. Warehousing environment, Azure is the leading cloud provider. If you are interested in data management within the Microsoft Azure cloud, consider preparing your skills with this exam. Architecture and design of workloads in Azure, Azure Data Factory, and analytics. Troubleshooting Azure, Azure availability sets for virtual machines, Azure Resource Manager. Gain a solid foundation in the implementation and benefits of deploying a DaaS solution across a range of industries. Prepared for Azure Data Storage Fundamentals Exam, you will get the skills to work with cloud storage features in Microsoft Azure. Microsoft DP-900 exam dumps is fast, easy and reliable for the preparation of the exam. Sqlcmd and SQL server replication and availability groups, and maintenance plans for SQL Server.
Deploying SQL Server on Azure, Virtual networks for cloud computing, monitoring Microsoft Azure Infrastructure. Career growth for individuals interested in learning about Microsoft Azure data storage, Microsoft DP-900 exam is a great place to start. Moment, individuals who are interested in cloud computing, data security and storage, data analytics, business intelligence or developers. Start your career growth by passing the exam for this technology. Friendly and inviting cloud technology with Azure Data Storage, it is an excellent place to start your career growth. Secure data management, cloud data storage are hard to get. With Microsoft DP-900 exam, you get the chance to get the training and skills required for this technology. Classroom and on-site training, courses and seminars on this topic provided for the candidates interested in learning about Data Storage. Updates and refresher training, take advantage of the opportunity for continuous learning and improve your skills. Paying attention to industry trends and technology, with Microsoft DP-900 Exam, you can focus on the fundamentals of data management. Captcha and VM and virtual machines and storage, cloud and on-premises data management. Leaders in the field of technology, Microsoft has a history of driving technology forward and creating opportunities for individuals who want to learn more about cloud computing. Innovation and new ideas, get the opportunity to get new ideas and innovations in the industry.
Career Prospects
- Systems Engineer – this role will keep you engaged in the design and the development of the cloud solutions that are appropriate to the business at hand. These professionals also analyze both the system and software requirements before giving design guidelines. This role is estimated to earn you an average salary of $81k per annum, as per PayScale.
- Systems Administrator – as a sysadmin, you will be tasked with providing hands-on support when it comes to system maintenance, operation and administration. You will also be the person concerned in making recommendation of an appropriate software to be deployed. The average salary is estimated to be $63k.
- Cloud Solutions Analyst – an early career as cloud solutions analyst or architect is quite lucrative. You can earn up to an average salary of $80k annually with even less than 1 year of working experience in this role. Once you develop in this job, the salary may rise up to the average of $126k per annum. Although the role is so much demanding, you should be ready to do proper evaluation and performance testing of a cloud solution before integration. The main task of these specialists is to ensure that the performance of the system is optimized.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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