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Because of the demand for people with the qualified skills about Microsoft Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) certification and the relatively small supply, Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam certification becomes the highest-paying certification on the list this year. While, it is a tough certification for passing, so most of IT candidates feel headache and do not know how to do with preparation. In fact, most people are ordinary person and hard workers. The only way for getting more fortune and living a better life is to work hard and grasp every chance as far as possible. Gaining the DP-900 Deutsch Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam certification may be one of their drams, which may make a big difference on their life. As a responsible IT exam provider, our Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam prep training will solve your problem and bring you illumination.
What job roles can you pursue after passing the Microsoft DP-900 exam?
Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.
Objective of Microsoft DP-900
The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.
Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.
Preparation Process for Microsoft DP-900 Exam
The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.
- Online Learning Paths
This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.
- Instructor-Led Training
This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.
- Study Guide
The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.
- Practice Test
The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.
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 |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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