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The Azure cloud platform is more than 200 products and cloud services designed to help you bring new solutions to life—to solve today’s challenges and create the future. Build, run, and manage applications across multiple clouds, on-premises, and at the edge, with the tools and frameworks of your choice.

Azure Fundamentals certification is an opportunity to prove knowledge of cloud concepts, Azure services, Azure workloads, security and privacy in Azure, as well as Azure pricing and support. Candidates should be familiar with the general technology concepts, including concepts of networking, storage, compute, application support, and application development.

The addition of the Azure Data Scientist Associate track in the new Azure certifications path is also promising news for aspiring candidates. The role of an Azure data scientist involves the application of knowledge in data science and machine learning for implementing and running machine learning workloads on Azure. The specific abilities of an Azure Data Scientist Associate should be in the use of Azure Machine Learning Service. 

Azure Data Scientist would have to plan and create an ideal working environment for data science workloads on Microsoft Azure. In addition, they should also show their capabilities in conducting data experiments alongside training predictive models. The work of Azure Data Scientists also involves the management and optimization of machine learning models. Most important of all, they are also responsible for the deployment of machine learning models into production. 

Microsoft has only one Azure certification exam in the new role-based certification model for the Azure Data Scientist Associate job role. The title of the exam is “Designing and Implementing a Data Science Solution on Azure.” The code for the exam is DP-100. Let us reflect on some basic information regarding the certification exam.

DP-100: Designing and Implementing a Data Science Certification Exam

DP-100 is the only exam in the new Azure certifications path which is suitable for the role of Azure Data Scientist Associate. Recently, Microsoft introduced some updates in the content of the DP-100 exam on January 22, 2020. The skills measured document on Microsoft Azure’s official website provides a clear idea regarding the updated exam format. 

The expected number of questions in the DP-100 exam is 40 to 60, and the response of different sources vary considerably. The total duration of the exam would be 180 minutes. The format of the exam involves multiple-choice questions as well as case studies with different questions.

Single-choice questions based on the scenario could also be a part of the exam. In addition, candidates should also prepare for questions that require completion of code in the fill-in-the-blanks format. You could also find questions that involve tasks for arranging specific components in a particular sequence. 

Preparing for DP-100: Designing and Implementing a Data Science Solution on Azure exam? Follow this comprehensive guide for the Microsoft exam preparation page and get ready to pass the exam.

Prerequisites

The DP-100: Designing and Implementing a Data Science Solution on Azure is an associate-level certification exam. Therefore, candidates don’t need any previous certification to have eligibility to appear for the DP-100 exam. In addition, candidates should note that there are no associated exams with the DP-100 exam. You qualify the DP-100 exam, and you can earn the credential of an Azure Data Scientist Associate.

Domains covered in the DP-100 exam are:

DomainWeightage
Setting up an Azure Machine Learning Workspace30-35%
Running Experiments and Training Models25-30%
Optimization and Management of Models20-25%
Deployment and Consumption of Models20-25%

Certification Cost: The total registration fee for the DP-100 exam in the new Azure certifications path is $165 USD.

You can also enrol yourself for the STEMAcademy soft skills program where you will get trained on the 21st century soft skills required to have a successful career.

Lawrence Ohis

Lawrence Ohis

I am web developer

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