Get 100% Valid Microsoft DP-900 Dumps (Edurely) – 2024

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Microsoft Azure Data Fundamentals

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About Microsoft Azure Data Fundamentals (DP-900) Exam!

This exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.

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 is not a prerequisite for any of them.

DP-900 Exam Details 

  • Exam Code: DP-900
  • Exam Name: “Microsoft Azure Data Fundamentals”
  • Exam Cost: USD 99
  • Passing score: 700/1000 or 70%
  • Language: English.
  • Number of Questions: 40-60
  • Exam Time Duration: 120 min.
  • Type of Questions: Multiple Choice Questions and Multiple Response Questions
How to Become a Certified DP-900 Professional? 

Candidates may access the Microsoft Azure DP-900 learning path, which takes them step-by-step through the Modules. But these courses feature modules that assist applicants to improve their abilities and expertise. The following are some of the modules:

  • The fundamentals of data management
  • The non-relational data in Azure.
  • data that is linked to Azure
  • Azure

Microsoft Azure Data Fundamentals Course Outline

Creating and managing sales entities and configuring additional tools and services are among the tasks included in the Exam DP-900. As a consequence, students should read the course overview once to familiarize themselves with the objectives.

Module 1: Describe core data concepts (15-20%)

1.1 Describing the many kinds of labor that go into maintaining core data
  • Defining a set of data
  • Demonstrating how streaming data may be explained
  • The distinction between batch and real-time information
  • A description of the properties of relational information
1.2 Defining the Foundational Concepts of Data Analytics
  • Explain the way data is represented graphically
  • Delineating common chart shapes, such as bars and circles, on a single graph
  • Explain the methods used to analyze the data
  • A description of the elt and ETL methods of operation
  • Explains the fundamentals of data manipulation.

Module 2: “Describe how to work with relational data on Azure (25-30%)”

2.1 Explain the burdens associated with relational data.
  • For a relational load, finding the proper data solution
  • Explains how to build relational databases
2.2 Explain the relational Azure data services that are available.
  • “Azure Database for PostgreSQL, Azure Database for Maria DB, and Azure Database for MySQL” are all described in this section.
  • Comparisons between paas, saas, and iaas delivery methods were made
  • Delivers the outline of the Azure SQL product family, which includes the databases, the administered instance, and the virtual machine.
  • Providing a brief introduction to Azure Synapse Analytics
2.3 Prioritizing and identifying data relationship management activities is an important first step.
  • Relational data services procurement and installation are described.
  • How to use arm templates and the azure portal to implement a deployment.
  • Recognizing the elements of data security (e.g., firewall, authentication).
  • Recognize the fundamental difficulties of access from on-premises, azure vnets, internet, authentication, and firewall concerning the connection.
  • Knowing how to use the right search engine.
2.4 Explain SQL querying methods for data.
  • Contrasted to DDL and DML.
  • “PostgreSQL, MySQL, and Azure SQL Database” querying.

Module 3: “Explain how to work with non-relational data on Azure (25-30%)”

3.1 Provide an example of a non-relational task.
  • To characterize the non-relational data’s features.
  • Utilize non-relational data where necessary.
3.2 Discuss Azure’s options for non-relational data.
  • A brief explanation of Azure Table storage.
  • Explain the Azure Blob storage system.
  • Providing a brief introduction to Azure File storage.
3.3 Recognize the most fundamental non-relational data management activities.
  • ARM templates, Azure Portal, Azure PowerShell, and the Azure command-line interface are all covered in this article (CLI).
  • Components of data security must be identified and configured (e.g., firewall, authentication, encryption)
  • Finding the core source of any connectivity issues, such as on-premises access, Azure VNets, the Internet and authentication, firewalls, and other security measures.
  • Find data management solutions for non-relational datasets. 

Module 4: “Define an analytics workload on Azure (25-30%)”

4.1 Provide examples of analytical tasks.
  • Transaction-oriented workloads may be described.
  • The financial workload differs from the analytical workload.
  • Emphasizes the contrast between batch and real-time scheduling.
  • Data warehouse workloads are described in this manner.
  • To decide whether or not a data warehouse is necessary.
4.2 A contemporary database server consists of the following:
  • Services such as Azure Data Lake, Storage Gen2, and Synapse Analytics for contemporary data warehousing are available on the Azure platform.
  • Discussing the design and workload of contemporary data warehouses.
4.3 On Azure, outline how data is ingested and processed.
  • Describing the components of Azure Data Factory (e.g., pipelines, activities, etc.).
  • For example, HDI, Azure Data bricks, Synapse Analytics in the cloud, and the Azure Data Factory in the cloud.
4.4 Give an example of Microsoft Power BI’s data visualization.
  • Explain browse able reporting’s function.
  • Provide a brief explanation of how interactive reports work
  • Defining dashboards’ purpose.
  • I’ll walk you through the steps in Power BI.

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Exam Information

Microsoft Azure Data Fundamentals
$99 USD
Approximately 40-60
700 (on a scale of 1000)
60 Minutes

Frequently Asked Questions

The goal of this exam is to test your understanding of key data ideas and their connections to Microsoft Azure data services. Candidates should be familiar with Exam DP-900’s self-paced or instructor-led learning material for this exam.

The exam is about 60 minutes long.

DP 900 Exam can be incredibly difficult, and it is normal to feel as though there is just too much material to cover. Here is our advice for passing the exam, even though you will never be able to know everything. The ideal exam study materials are those offered by Edurely.

The difficulty of the Azure 900 exam will depend on your knowledge and experience with Azure. It is a foundational level exam that covers a wide range of topics related to Azure. If you have experience with Azure and have prepared for the exam, you may find it to be of moderate difficulty. However, if you are new to Azure or have not prepared thoroughly, the exam may be more challenging. I will recommend here to check out Edurely DP-900 Exam dumps. These are the most trusted ones in the market and will help you a lot in the learning process.

The amount of time it takes to learn the material covered in the DP-900 exam will depend on your prior knowledge and experience with Azure and data platforms. It will also depend on how much time you are able to dedicate to studying and preparing for the exam. On average, it may take several weeks or months to learn the material covered in the DP-900 exam, depending on your individual learning style and the resources you use to study. It is important to allocate sufficient time to study and prepare for the exam in order to increase your chances of success.

Obtaining the DP-900 certification can be a valuable addition to your IT resume, as it demonstrates your knowledge and skills in Azure data platforms. The DP-900 certification can potentially open up new job opportunities and can help you advance in your career. Additionally, earning a certification can also be a personal accomplishment and can help you stay up-to-date on the latest technologies and best practices in the field. Overall, whether the DP-900 certification is worth it for you will depend on your individual goals and career aspirations.

The first time you fail an exam, you must wait 24 hours before retaking it. There is a 14-day waiting period before any more attempts (up to 5). A specific exam may only be taken five (5) times in a 12-month period following the initial attempt.

You can take up a maximum of 5 retake attempts of clearing the AZ-900 examination in a year.

It cost USD 99.00

Earning the DP-900 certification can potentially improve your job prospects and make you a more competitive candidate for certain IT roles that require knowledge and skills in Azure data platforms. However, it is important to note that certification is only one factor that employers consider when evaluating job candidates. 

Other factors such as your work experience, education, and overall skillset will also be important in determining your eligibility for a particular job. It is always a good idea to have a strong resume and to highlight your relevant skills and experience in order to increase your chances of getting a job.

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