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Microsoft Designing and Implementing a Data Science Solution on Azure Exam Certification Details:

2. Train Models & Run Experiments (25-30%):

• Models creation with Azure ML Designer: This domain covers the examinees’ skills in using custom code modules within the design and using designer modules for the definition of pipeline data flows. It also requires one’s competence in ingesting data within designer pipelines and creating training pipelines utilizing ML Designer.
• Model training process automation: The individuals need the relevant skills in running pipelines, passing data within steps in pipelines, monitoring pipeline runs, and creating pipelines with the use of SDK.
• Training scripts run within Azure ML workspaces: The students should have the expertise in creating and running experiments utilizing Azure ML SDK as well configuring run settings for the scripts. This subject area also requires their skills in data consumption from datasets for an experiment using Azure ML SDK.
• Metrics generation from experiment runs: The candidates must be able to use logs for troubleshooting errors in experiment runs, log metrics from experiment run, and view and retrieve experiment outputs.

Microsoft Azure DP-100 exam certification is an incredibly strong skill set that everyone from small business to enterprise organizations require. There is no downside to any of the DP-100 exam accreditations. Recently, the Microsoft Azure DP-100 exam certification is one of the smartest accreditations an IT engineer chase. Passing the DP-100 exam test provides candidates with an opportunity to demonstrate proficiency with specific technologies. Add this line (DP-100 Designing and Implementing a Data Science Solution on Azure certification) to your resume, and you may find a better job with high salary.

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Skills measured

• Deploy and operationalize machine learning solutions (35–40%)
• Implement responsible machine learning (5–10%)
• Manage Azure resources for machine learning (25–30%)
• Run experiments and train models (20–25%)

Exam DP-100: Designing and Implementing a Data Science Solution on Azure

Candidates for the Azure Data Scientist Associate certification should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Azure.

Responsibilities for this role include planning and creating a suitable working environment for data science workloads on Azure. You run data experiments and train predictive models. In addition, you manage, optimize, and deploy machine learning models into production.

A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning and Azure Databricks.

Part of the requirements for: Microsoft Certified: Azure Data Scientist Associate

Download exam skills outline

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Microsoft DP-100 Exam Syllabus Topics: