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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.
- ‘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.
- ‘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.
Certification Paths Available
Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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How to operate with relational data on Azure
Here, the candidate should be equipped with knowledge and skills in the following sub domains:
- Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
- Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
- Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
- Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
- 1. Use cases for non-relational data
- 2. Characteristics of NoSQL data
- Describe Azure storage services
- 1. Table Storage
- 2. Blob Storage
- 3. Queue Storage
- 4. File Storage
- Describe Azure Cosmos DB
- 1. Capabilities and features
- 2. APIs and data models
- 3. Consistency levels and partitioning
|
| Describe an analytics workload on Azure | 25–30% | - Describe big data and analytics concepts
- 1. Data lakes and data warehouses
- 2. Modern data warehouse architecture
- 3. Data ingestion and processing
- 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 Azure analytics services
- 1. Azure HDInsight
- 2. Azure Databricks
- 3. Azure Synapse Analytics
- 4. Microsoft Fabric
- 5. Azure Data Lake Storage Gen2
|
| Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
- 1. SQL Server on Azure Virtual Machines
- 2. Open-source databases: PostgreSQL, MySQL, MariaDB
- 3. Azure SQL Database
- 4. Azure SQL Managed Instance
- Describe relational data concepts
- 1. Normalization
- 2. Relationships, keys, constraints
- 3. Query data with SQL
|
| Describe core data concepts | 25–30% | - Describe types of data
- 1. File formats
- 2. Structured, semi-structured, and unstructured data
- Describe data workloads
- 1. Transactional workloads
- 2. Batch and streaming data
- 3. Analytical workloads
- Describe roles and responsibilities
- 1. Data engineer, data analyst, database administrator
|