The Microsoft Azure Data Scientist Associate certification is a must-have for professionals looking to advance their careers in data science on the Azure platform. This certification is designed to validate your skills in collecting, processing, and analyzing data using Azure services.
To become certified, you'll need to pass a single exam, which covers a wide range of topics including data science, machine learning, and Azure services. The exam is a 90-minute, proctored assessment that consists of multiple-choice questions and hands-on exercises.
The certification is highly valued by employers and can lead to higher salary potential. According to industry reports, data scientists with the Azure Data Scientist Associate certification can earn up to $141,000 per year.
What Knowledge and Experience Are Required?
To become an Azure Data Scientist Associate, you'll need some experience with Azure Machine Learning. It's recommended that you start by understanding the services used for machine learning, which will simplify the machine learning process.
You can take the optional course provided by Azure, "Designing and Implementing a Data Science Solution on Azure", if you're new to Azure. This course will give you a solid foundation to build upon.
A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning. It's also a good idea to have some experience with Azure.
To pass the certification exam, you'll need to demonstrate your skills in four key areas. Here are the categories and their respective weightage:
- Set up an Azure Machine Learning workspace – 30-35%
- Run experiments and train models – 25-30%
- Optimize and manage models – 20-25%
- Deploy and consume models – 20-25%
Microsoft Learning Path
The Microsoft Learning Path is a great starting point for anyone aiming to become a Microsoft Certified Azure Data Scientist Associate. It's developed by Microsoft itself, and it's designed to help you prepare for the certification.
To access the learning path, you can check out the Microsoft Certified: Azure Data Scientist Associate Certification Learning Path. This will give you an overview of the courses and skills required for the certification.
Whizlabs offers a comprehensive course that covers all the portions required for the certification, including labs and practice exams. This can be a great option if you want to get hands-on experience and feel more confident about the exam.
Microsoft also offers free online courses, but these may not cover all the topics in as much detail as the paid courses.
Exam Process
To become an Azure Data Scientist Associate, you'll need to pass the certification exam, which is proctored by Microsoft.
The exam consists of 30-40 multiple-choice questions, which you'll have 85 minutes to complete.
You'll be tested on your ability to analyze data, create data visualizations, and develop machine learning models using Azure services like Azure Machine Learning and Azure Databricks.
Registration Process
To register for the AZ DP-100 certification exam, you'll need to follow a straightforward process.
First, go to the official Microsoft website and sign up for an account. This will give you access to the certification registration page.
Next, find the certification name, AZ DP-100, on the list of available certifications. From there, click on the 'Schedule Exam' button.
During the registration process, you'll be able to select the examination date if the certificate is available in your country.
Finally, choose the language of the proctor, greeter, and proctoring software to ensure a smooth and comfortable experience.
Set Up ML Workspace
As part of the exam process, you'll need to set up an Azure Machine Learning Workspace. This involves building the workspace, which will serve as the central hub for your data science projects.
To build an Azure Machine Learning Workspace, you'll need to manage the data objects within it. This includes uploading, storing, and retrieving datasets, as well as managing any associated data assets.
You'll also need to maintain experiment compute contexts, which allow you to run and manage machine learning experiments in the workspace.
Here's a quick rundown of the tasks involved in setting up an Azure Machine Learning Workspace:
- Build an Azure Machine Learning Workspace
- Manage the Data Objects in the Workspace
- Maintain Experiment Compute Contexts
By completing these tasks, you'll be well on your way to setting up a robust and efficient Azure Machine Learning Workspace that meets your data science needs.
Designing and Implementing a Solution
As an Azure Data Scientist Associate, designing and implementing a solution is a critical aspect of your role. You'll need to design and prepare a machine learning solution, which involves exploring data and training models.
To do this effectively, you'll need to understand the skills measured in this certification, which include designing and preparing a machine learning solution, exploring data and training models, preparing a model for deployment, and deploying and retraining a model.
Here are the key modules you'll need to focus on:
- Module 1: Introduction to Azure Machine Learning
- Module 3: Running Experiments and Training Models
- Module 4: Working with Data
- Module 6: Orchestrating Operations with Pipelines
- Module 7: Deploying and Consuming Models
- Module 8: Training Optimal Models
In terms of specific skills, you'll need to be able to design and prepare a machine learning solution, which involves:
- Designing a machine learning solution
- Exploring data and training models
- Preparing a model for deployment
- Deploying and retraining a model
To achieve this, you'll need to understand how to set up an Azure Machine Learning workspace, which involves creating an Azure Machine Learning workspace, configuring workspace settings, and managing workspaces by using Azure Machine Learning studio.
Career and Salary
The average income of a certified Data Scientist with skills in Microsoft Azure is approximately US$95,102 per annum in the US. This amount can rise up to US$110,000 per year with better skills, experience, etc.
In India, these Microsoft Certified Azure Data Science Associate earn an average salary of ₹1,180,000 per year, which can increase to ₹2,000,000.
Data scientists can play an important role in making critical business decisions easily, and the demand for jobs in Azure data science projects is slowly growing. IT professionals have a wide range of career opportunities in the Microsoft Azure landscape, especially in data science.
Building Your Career
There are over 9,000 vacancies for Microsoft Data Scientists in the United States, according to LinkedIn.
The demand for data-driven experts is unlikely to die anytime soon, making it a promising career path.
Companies like 365mc, Aggreko, Apollo, and Subscribe are already using Azure ML, which is a testament to its growing popularity.
A data scientist can organize and analyze huge amounts of data, such as the 2.5 quintilian bytes processed daily, to make informed business decisions.
To become an Azure Certified Data Scientist Associate, you can start by registering for the DP-100 certification exam.
The exam syllabus and other details can be found online, and it's essential to have a good understanding of Data Science techniques.
Here are some upcoming courses to help you prepare:
You can also consider pursuing a career in Azure data science projects, which are in high demand due to the widespread acceptance of Microsoft Azure.
Microsoft Certified Salary
As a Microsoft Certified Azure Data Scientist Associate, your salary can vary based on your location. In the US, the average income is around $95,102 per annum, which can rise up to $110,000 with better skills and experience.
In the US, these professionals can earn up to $110,000 per year with advanced skills and experience.
If you're based in India, you can expect an average salary of ₹1,180,000 per year as a Microsoft Certified Azure Data Science Associate.
Frequently Asked Questions
How do I pass Azure data scientist Associate?
To pass the Azure Data Scientist Associate exam, gain hands-on experience with Azure ML, Azure SDK, Apache Spark, and Databricks through practical projects and training courses. Building a strong foundation with Coursera and LinkedIn Learning courses will also help you succeed.
Sources
- https://learn.microsoft.com/en-us/credentials/certifications/azure-data-scientist/
- https://techcommunity.microsoft.com/blog/microsoftlearnblog/level-up-with-microsoft-certified-azure-data-scientist-associate/2033938
- https://firebrand.training/en/courses/microsoft/azure/azure-data-scientist-associate-certification
- https://intellipaat.com/blog/how-to-become-microsoft-certified-azure-data-scientist-associate-dp-100/
- https://www.whizlabs.com/blog/microsoft-certified-azure-data-scientist-associate-certification-complete-guide/
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