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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • 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.
  • 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 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.
  • 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.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Microsoft DP-900 Exam Syllabus Topics:

TopicDetails

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

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The Need for Microsoft DP-900 Exam

At the present time, organizations are experiencing challenges in identifying the skills and knowledge of employees. Studies prove that organizations are spending more money on training staff members. Tables, sales, sales and marketing, finance, HR and others. The skills of the individual are not only in the field of computing and technology, but also in the field of business management. Templates, skills and knowledge of the individual are evaluated. As a result, organizations are looking for individuals who can manage these challenges. Hope that individuals have a broad range of knowledge and skills that they can draw from, as needed. Print and distribute reports, day to day running of the business, manage files and inventory. Microsoft Azure Data Management Fundamentals is a great way to prepare for this exam. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Curated and different content, industry specific content is included. Microsoft DP-900 certification is one of the best ways to protect your resume when searching for a new job, or when requesting a raise or promotion. Smarter ways, the training provided by Microsoft is a way to make smart decisions. Foundational concepts, increase your credibility with the technical skills you already have. Interface with the outside world through cloud technology, this training is well beyond skills associated with computing. Vendor independence, data management is not only dependent on the vendor, but also on the ability to understand and use the tools and leverage them for their own benefit.

Rule of the Microsoft DP-900 certification exam is based on a well-balanced test system. At present, it is a very good opportunity for you to get the latest training and skills required in the field of cloud computing and data storage. Offered at a much lower cost, the training provided by Microsoft will greatly increase your probability of passing this exam. Head start, Microsoft is one of the leading vendors in the world of computing and cloud technologies. Accessing their resources will help you start your career off on the right foot. Confidence, the training provided by Microsoft will give you confidence that you can pass this exam. Personalized training, by providing the latest training resources through the Microsoft platform, you have the opportunity to learn at your own pace. Rewarding, individuals who pass the exam will receive the latest certification. All you need to do is study and prepare your material to pass the exam. Leave the pressure of preparing the exam until the last minute, prepare for this certification exam beforehand. Quick and easy, this exam has a very simple and easy to understand format. Preparation for all areas of knowledge and content is not difficult. Firewalls and security and virtual and on-premises and cloud and data center and storage, the test system is very comprehensive. Built based on a well-established test system, using the latest training provided by Microsoft will greatly increase the probability of passing this exam. Succeed in your career development with this exam, get the latest training provided by Microsoft. Vnets and Azure VM and VMs and storage, the candidates will increase their skills in cloud computing. Workers and resources and data center, the candidate will increase their skills in knowledge of data storage. Harder than the exam, the test system is based on a very detailed and comprehensive format.

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