If you are an individual who wants to improve and verify the skills before becoming an Azure Data Scientist, this certification is for you. The Microsoft Certified: Azure Data Scientist Associate certificate is an associate-level option that validates your knowledge of the application and implementation procedures required for data science and machine learning. This means that you need to be able to plan as well as create the suitable working environments for data science workloads on Azure. It also demonstrates that you know how to run ML workloads on Azure.
This Microsoft certification is intended for those data scientists who want to prove that they know everything about Azure Databricks, Azure ML, and other Azure resources needed for the job role. There are no specific requirements to meet, but it is vital to have a solid understanding of the concepts covered in the qualification exam. The potential candidates should also have knowledge and experience in data science.
Microsoft DP-100 is the only exam of this certification path that you need to pass. It is all about the development and implementation of Data Science solutions on Azure and contains about 45-60 questions. You will be given 100 minutes to deal with all of them, and the score you obtain should be 700 points or higher if you want to be eligible for the certificate. The topics include the following details that you must learn about:
- Manage Azure resources for machine learning – To be able to clear the questions from this subject area, it is important to know about the Azure ML workspace and Azure Databricks workspace. You need to have the skills in managing data, implementing access control and security, setting up a development environment, and managing compute for experiments;
- Run experiments & train models – If talking about this section, it evaluates your skills in generating metrics from experiment runs, tuning hyperparameters with Azure ML, and running model training scripts. Moreover, it is important to know about such processes as the creation of models and usage of the Azure ML designer as well as usage of Automated Machine Learning and creation of optimal models;
- Deploy & operationalize machine learning solutions – The next domain is all about the creation of Azure ML pipelines for batch inferencing and implementation of pipelines while using Azure ML SDK. It is vital to have the skills in deploying a model as a service, applying the ML Ops practices, and publishing an Azure ML designer pipeline as a web service;
- Implement responsible machine learning – The last part covers the details of the model explainers and their usage for the interpretation of models. The potential candidates should also know about the privacy considerations for data and fairness considerations for models.
Further Career Path
The Microsoft Certified: Azure Data Scientist Associate certificate is a solid proof of your skills, which is why this certification is so popular among the data scientists interested in the validation of their level of expertise. It gives them many benefits that go along with a higher salary and a more prestigious position. Thus, it is important to know if your certificate is needed to be renewed and when exactly. Therefore, don’t forget to check the details of the status on your account and recertify when the time comes to have the relevant skills and knowledge.
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