PDF Version DemoMicrosoft 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 |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Constant Improvement
Our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam questions are highly praised for their good performance. Customers often value the functionality of the product. After a long period of research and development, our learning materials have been greatly optimized. We can promise you that all of our DP-900 Deutsch practice materials are completely flexible. In addition, we have experts who specialize in research optimization, constantly update and improve our learning materials, and then send them to our customers. We take client's advice on DP-900 Deutsch training prep seriously. Once our researchers believe that your proposal is of practical significance, we will do our best to refine the details of learning materials based on your suggestions. We always think about your interests and move forward with you.
As you know, opportunities are reserved for those who are prepared. Everyone wants to stand out in such a competitive environment, but they don't know how to act. Maybe our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam questions can help you. Having a certificate may be something you have always dreamed of, because it can prove that you have a certain capacity. Our learning materials can provide you with meticulous help and help you get your certificate. Our DP-900 Deutsch training prep is credible and their quality can stand the test. Therefore, our practice materials can help you get a great financial return in the future and you will have a good quality of life.
What Are the Exam Topics?
Core data concepts
This topic majorly addresses the following skills:
- Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.
- Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
Adapted to Different People
Our DP-900 Deutsch training prep can be applied to different groups of people. Whether you are trying this exam for the first time or have experience, our learning materials are a good choice for you. Whether you are a student or an employee, our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam questions can meet your needs. This is due to the fact that our learning materials are very user-friendly and express complex information in easy-to-understand language. You do not need to worry about the complexity of learning materials. We assure you that once you choose our DP-900 Deutsch practice materials, your learning process is very easy. What are you waiting for? As long as you decide to choose our learning materials, you will have a greater competitive advantage than others and thus embrace the life that you want.
Advantages of Saving Time and Energy
If you do not choose a valid DP-900 Deutsch practice materials, you will certainly feel that your efforts and gains are not in direct proportion, which will lead to a decrease in self-confidence. You spent a lot of time, but the learning outcomes were bad. If you are facing these issues, then we suggest that you try our DP-900 Deutsch training prep, which have great quality and they are efficient. Under the guidance of our learning materials, you can improve efficiency and save time. Because we can provide tailored DP-900 Deutsch exam for different students, we can assist you with learning by simplified information. At the same time, our specialists will update learning materials daily and continue to improve the materials. Therefore, you can use our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam questions to complete your daily tasks faster and more efficiently, which means that you can save a lot of time to do more meaningful and valuable things. When you are learning our learning materials, you can find confidence in the process of learning materials and feel happy in learning. After about 20-30 hours, you can get your Microsoft certificate.
Quality and ValueITCertTest Practice Exams are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development - no all study materials.
Tested and ApprovedWe are committed to the process of vendor and third party approvals. We believe professionals and executives alike deserve the confidence of quality coverage these authorizations provide.
Easy to PassIf you prepare for the exams using our ITCertTest testing engine, It is easy to succeed for all certifications in the first attempt. You don't have to deal with all dumps or any free torrent / rapidshare all stuff.
Try Before BuyITCertTest offers free demo of each product. You can check out the interface, question quality and usability of our practice exams before you decide to buy.