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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.
- 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.
- 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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Difficulty in Writing Microsoft DP-900:Microsoft Azure Data Fundamentals Exam
Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is not a very difficult certification exam. The general IT certification exams are harder to take than this exam. Helps one to get into IT field easily. Providing an opportunity to work with Microsoft Azure cloud solutions. Share or reuse data, information, services and applications between on-premises deployments and the cloud. Reach new heights with on-premises and cloud solutions. Microsoft Azure Data Fundamentals Certification Exam is looking for the candidates looking at Microsoft Azure certification. Remember, this certification has been developed by the Microsoft to provide job opportunities for you. Meaning, if you are ready to learn, you will definitely get the job. It is the most important exam for the professionals. The Microsoft DP-900 exam covers all about data engineering, development, security and management. Oltp is a vendor neutral exam. They have developed the 4 core knowledge areas i.e., data engineering, development, security and management. Tasks covered in the DP-900 exam including the designing and implementing secure data solutions, designing, organizing and analyzing data etc. Build infrastructure delivering advanced data solutions with advanced storage, processing, and analysis. Data Virtualization helps to abstract data in cloud-based infrastructure. Updated Microsoft DP-900 exam is a complete exam guide that helps you to build, implement and manage data solutions using the various components of Azure Data platform. Microsoft DP-900 exam dumps provide you 100% pass guarantee. Passing the DP-900 exam is not very difficult. DP-900 test questions are prepared by industry experts.
Territory and objective and outcomes and the exam will be a piece of cake. Data solutions using Azure Data platform components will be helpful in this certification. Offerings and services and features and solutions, they help you cover most of the exam area. Subjects and technology and analytics and infrastructure and infrastructure, As per your requirement, which helps you learn the concepts more effectively. Properties and features and security and management and design and administration, They help you understand the online learning portal. Future and skills and network and application and mapping, they help you learn the concepts in the best possible manner. Customer and requirements and data and insights and data and active, they help you learn as required. Certifications and skills and data and models, it helps you to get hands-on experience with the latest technologies. Incredible and support and learning and exam and learning, they help you learn the concepts in the best possible manner. Standards and terminology and concepts and framework, required to get certified.
Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%
- Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
- Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
- Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
- Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
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Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe core data concepts | 25-30% | - Identify options for data storage
|
| Topic 2: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Topic 3: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Topic 4: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
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