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How to operate with non-relational data on Azure
The main concepts covered in this domain include:
- 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.
- 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.
- 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.
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Role of data center, it is to perform some of the most challenging tasks. Understand the workloads, you need to design and build your solutions. Learn about encryption, its advantages and considerations. Streaming and data flow, it is to sync the data in your system. Determining what makes up your data, getting insight into the different classes of information. Post this process, you need to use and architect your data solution. Learn to determine the appropriate size for your table and index structures. Managed Identities, it is to access the resource in the cloud. It is required to learn about configuration of Azure Cloud Identity. Powershell is to manage the Azure environment. Instance management is to orchestrate the deployment of an application to a cloud based infrastructure. Cli tools, it is to manage infrastructure services. Postgresql is to create, maintain, and manage database in the cloud. The objective of this exam is to test your knowledge on DP-900 exam questions. Links are provided in the study material that will take you to exact DP-900 certification exam question. Provisioning storage, it is to configure various storage options in the cloud. Scaleout solutions, it is to scale out database performance. Preps, these are preprocessing tasks that takes place while creating or enriching the data. Nosql databases, it is to manage the cloud datastore. Difference between cloud and on prem, it is to understand the importance of cloud architecture. Read the documents and online references provided in the practice exam. Love the practice exam, it is to be able to understand the entire certification study guide. Community cloud, it is to create the cloud instance in the community cloud.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Career Prospects
- Systems Engineer – this role will keep you engaged in the design and the development of the cloud solutions that are appropriate to the business at hand. These professionals also analyze both the system and software requirements before giving design guidelines. This role is estimated to earn you an average salary of $81k per annum, as per PayScale.
- Cloud Solutions Analyst – an early career as cloud solutions analyst or architect is quite lucrative. You can earn up to an average salary of $80k annually with even less than 1 year of working experience in this role. Once you develop in this job, the salary may rise up to the average of $126k per annum. Although the role is so much demanding, you should be ready to do proper evaluation and performance testing of a cloud solution before integration. The main task of these specialists is to ensure that the performance of the system is optimized.
- Systems Administrator – as a sysadmin, you will be tasked with providing hands-on support when it comes to system maintenance, operation and administration. You will also be the person concerned in making recommendation of an appropriate software to be deployed. The average salary is estimated to be $63k.
Exam DP-900: Microsoft Azure Data Fundamentals
Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
This exam is intended for candidates beginning to work with data in the cloud.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.
Part of the requirements for: Microsoft Certified: Azure Data Fundamentals
Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe core data concepts | 25–30% | - Describe roles and responsibilities
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe Azure Cosmos DB
|
| Describe an analytics workload on Azure | 25–30% | - Describe data visualization
|
| Identify considerations for relational data on Azure | 20–25% | - Describe Azure relational data services
|
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