Exam Details
The Microsoft DP-900 exam has the following features:
- It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
- The number of questions is not disclosed but you should expect 40-60 items
- The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.
Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Helpful Books to Ace DP-900
By and large, candidates can incorporate the listed study guides from Amazon as they prepare for DP-900 so they have a better chance of passing the official test:
- ‘DP-900: Microsoft Azure Data Fundamentals 2020 Practice Exam (Solved Practice Test 120+)’ by Eaze Teach — Eaze Teach is one of the largest online IT content providers in the world and they have study guides & mock tests for technical exams of numerous IT vendors such as Linux, Cisco, and Microsoft. Plus, Eaze Teach even provides training courses to IT workers to succeed in their job positions. This almost 150-page paperback from such a provider is loaded with practice tests consisting of 120+ original and challenging questions for the Microsoft exam DP-900. These practice tests are meant to exactly replicate the actual DP-900 test, hence the structure, question types, time limit, and passing score are the same as DP-900. Significantly, each question in this book has been created in accordance with the official exam syllabus issued by Microsoft for DP-900, meaning they’ll cover all the necessary topics. Taking the mock tests in this book is a great way to assess where the candidate currently stands in terms of exam preparation and advance accordingly. Furthermore, these mocks will also help candidates identify gaps in their knowledge.
- ‘DP-900: Microsoft Azure Data Fundamentals: 110+ Exam Practice Questions with Detail Explanation and Reference Link’ by Analytiq Tech and Daniel Scott — this kindle guide contains more than 110 original and challenging sample questions for DP-900. What’s more is that each question is accompanied by detailed answers, which help students grasp why an answer is correct or incorrect, hence they can improve faster. In all, there are two entire mock tests in this e-book and the question type, time limit, structure, and passing score of those mock tests will exactly replicate that of DP-900, meaning students will receive the perfect practice. Taking mock tests such as these helps students assess their performance and identify the topics they are weak in. The question bank of this book is being constantly updated and improved using students’ feedback, and new items are added to the stock on a regular basis. The book even has an active Q&A forum online, where past and future candidates discuss the exam topics of DP-900 and share their test-taking experiences, all of which should facilitate further learning for potential candidates.
- ‘Exam Ref DP-900 Microsoft Azure Data Fundamentals’ by Daniel Seara & Francesco Milano — this is the official paperback provided by Microsoft for DP-900 test. Both the authors of this book are experienced IT veterans who have spent decades working with countless technologies. The target audience for this book is IT professionals, functional consultants, and business users. Simply put, it focuses on the main concepts and skills one would need in order to provide data solutions using Microsoft Azure data services out in the real world. Plus, such material promotes critical thinking in learners so they will be able to make better decisions on the job. More so, this book comprehensively covers each and every topic that candidates need to know for their DP-900 tests. This official paperback is also packed with ‘what if’ questions to further challenge the learners and teach them how to solve real-world IT problems. To easily blaze through the pages of this revision guide, candidates must be familiar with working with cloud-related data, Microsoft Azure data services, and know all the basic data concepts.
How to operate with non-relational data on Azure
The main concepts covered in this domain include:
- Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
- Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
- Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
Exam DP-900: Microsoft Azure Data Fundamentals
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.
Part of the requirements for: Microsoft Certified: Azure Data Fundamentals
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Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
- 1. Characteristics of NoSQL data
- 2. Use cases for non-relational data
- Describe Azure storage services
- 1. File Storage
- 2. Queue Storage
- 3. Blob Storage
- 4. Table Storage
- Describe Azure Cosmos DB
- 1. Capabilities and features
- 2. APIs and data models
- 3. Consistency levels and partitioning
|
| Topic 2: Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
- 1. Relationships, keys, constraints
- 2. Query data with SQL
- 3. Normalization
- Describe Azure relational data services
- 1. Azure SQL Managed Instance
- 2. Open-source databases: PostgreSQL, MySQL, MariaDB
- 3. Azure SQL Database
- 4. SQL Server on Azure Virtual Machines
|
| Topic 3: Describe an analytics workload on Azure | 25–30% | - Describe data visualization
- 1. Data models and reports
- 2. Power BI capabilities
- Describe real-time analytics
- 1. Stream processing concepts
- 2. Azure Stream Analytics
- Describe big data and analytics concepts
- 1. Data ingestion and processing
- 2. Data lakes and data warehouses
- 3. Modern data warehouse architecture
- Describe Azure analytics services
- 1. Microsoft Fabric
- 2. Azure Databricks
- 3. Azure Data Lake Storage Gen2
- 4. Azure HDInsight
- 5. Azure Synapse Analytics
|
| Topic 4: Describe core data concepts | 25–30% | - Describe types of data
- 1. File formats
- 2. Structured, semi-structured, and unstructured data
- Describe roles and responsibilities
- 1. Data engineer, data analyst, database administrator
- Describe data workloads
- 1. Batch and streaming data
- 2. Transactional workloads
- 3. Analytical workloads
|