Cover all knowledge points
It is of great importance to consolidate all key knowledge points of the DP-900 Deutsch exam. It is difficult for you to summarize by yourself. It is a complicated and boring process. We will collect all relevant reference books of the DP-900 Deutsch exam written by famous authors from the official website. Then the whole research groups will pick out the knowledge points according to the test syllabus. Also, they will also compile some questions about the DP-900 Deutsch practice materials in terms of their experience. Now, we have successfully summarized all knowledge points in line with the DP-900 Deutsch outline. You can directly refer our study materials to prepare the exam. Once the newest test syllabus is issued by the official, our experts will quickly make a detailed summary about all knowledge points of the real DP-900 Deutsch exam in the shortest time. All in all, our DP-900 Deutsch study guide will help you grasp all knowledge points.
Highly similar to the real exam
Now, our DP-900 Deutsch practice materials are become more and more professional. We can predicate almost half real exam questions every year. Although there are small adaptions to the questions of our DP-900 Deutsch study guide, the answers are still the same. So we strongly advise you to memorize our study materials carefully especially the difficult questions of our DP-900 Deutsch preparation questions. You must cultivate the good habit of reviewing the difficult parts, which directly influences your passing rate. What is more, our experts never stop researching the questions of the real DP-900 Deutsch exam. If you have time to know more about our study materials, you can compare our study materials with the annual real questions of the DP-900 Deutsch exam. In addition, we will try our best to improve our hit rates. You will not wait for long to witness our great progress. It is worth fighting for your promising future.
Suitable for all people
Before we decide to develop the DP-900 Deutsch preparation questions, we have make a careful and through investigation to the customers. We have taken all your requirements into account. Firstly, the revision process is long if you prepare by yourself. So our DP-900 Deutsch practice materials have picked out all knowledge points for you, which helps you get rid of many problems. In addition, time is money in modern society. It is important achieve all things efficiently. So our DP-900 Deutsch study guide just needs less time input, which can suit all people's demands. In the meantime, all knowledge points of our DP-900 Deutsch preparation questions have been adapted and compiled carefully to ensure that you absolutely can understand it quickly.
How to operate with non-relational data on Azure
The main concepts covered in this domain include:
- 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.
- 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.
Workload analytics on Azure
- Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
- Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
- Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
- Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
No matter how busy you are, you must reserve some time to study. As we all know, knowledge is wealth. If you have a strong competitiveness in the society, no one can ignore you. Then here comes the good news that our DP-900 Deutsch practice materials are suitable for you. Our study materials are full of useful knowledge, which can meet your requirements of improvement. Also, it just takes about twenty to thirty hours for you to do exercises of the DP-900 Deutsch study guide. The learning time is short but efficient. You will elevate your ability in the shortest time with the help of our DP-900 Deutsch preparation questions.
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.
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Describe core data concepts | 25-30% | - Identify options for data storage
|
| Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|








