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How To Crack Microsoft Azure Data Scientist Associate Certification

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Microsoft offers a variety of certification programs to give recognition to the professionals working in several fields by assessing their knowledge and understanding of a particular technology. In the field of Machine Learning and Data Science as well, it offers a few popular certifications. “Microsoft Certified: Azure Data Scientist Associate” is one of those certifications that aim to recognize potential candidates in the field of Data Science. While preparing for this certification, there is uncertainty with candidates about their knowledge level, how much they know and how much more needs to be learned. 

MachineHack, India’s leading hackathon and assessment platform, offers a variety of mock tests for such professional certifications free of cost, just to support the candidates in achieving milestones. These mocks are completely based on the exam patterns as given by the offering agency on their official websites and feedback taken from the successful candidates.  Among these mocks, it also provides a mock test for Microsoft Certified: Azure Data Scientist Associate exam. While preparing for this certification exam, candidates can check their knowledge level by taking the mock and can fine-tune their preparations accordingly. 

About the Exam

Microsoft Certified: Azure Data Scientist Associate exam is called the “DP-100 Exam” by Microsoft. This is held online and can be taken from anywhere across the world. To appear for the exam, candidates need to register and schedule the exam by paying a fee of $165 USD. This fee varies from country to country. If you are from India, you need to pay Rs 4,800 INR. 

The important details about the exam pattern are given below:-

  • Duration: 2 Hours
  • Number of questions: 40-60 questions
  • Format: Different formats such as case study, short answers, multiple-choice, mark review, drag, and drop, etc.

Candidates will see different formats of questions in the exam. Some questions will be multiple choice-based where only one option is correct and some with more than one option correct. Many questions will be there where you can drag the options and select the correct one and in a few questions, you will have to drag an option to fill a space. The marking of the exam is done on a scale of 100 to 1000 where the minimum passing marks are 700. 

Topics to be Covered

This certification expects that the aspiring candidates should have the expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. This exam assesses the ability of the candidates to accomplish a set of different tasks in the field of data science and machine learning. These tasks and their weightage in the exam are given below:-

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

All the 40 to 60 questions in the exam belong to the above set of tasks. These tasks check the knowledge and understanding of a candidate to define, use and manage data science workloads in Azure.

How To Crack Microsoft Azure Data Scientist Associate Certification

  1. Collect the Information
    Rather than going through hundreds of blogs on the internet, collect the right information from the official website of the certification. For detailed information about the tasks from which questions are asked, you can check the skill outline. It also comprises a detailed description of what exact topics need to be covered within each of the tasks.
  2. Learn from Tutorials and Blogs from Microsoft
    here are around 3000 learning lessons provided by Microsoft that are based on different types of implementations around all the required skills in this exam. These lessons will work as the learning path to become certified. Along with these lessons, there are around a thousand blogs and tutorials available in Azure AI Gallery related to different use cases and implementations. You can go through these blogs and tutorials and learn different skills related to AI, Machine Learning and Azure.
  3. Learn through the use cases
    This exam assesses the understanding of candidates on defining a variety of workloads on Azure. So there must be a good understanding of different Azure products and services. You can go through the descriptions of all the relevant Azure products and services with their use cases. The list of these products and services can be found in the Directory of Azure Cloud Services
  4. Take Mock on MachineHack
    MachineHack provides Microsoft Certified: Azure Data Scientist Associate Mock on its platform where you will experience taking this exam in real. You will find the same levels of questions belonging to all the required tasks and skills and the exam is to be attempted within the stipulated time. After taking this mock exam, you will be able to assess your level of preparedness. 
  5. Repeat the steps
    You can do more and more practice by repeating steps 2 to 4. You can assess your level with the mock test and again go with improving the knowledge followed by the next mock test. 

How to Prepare?

To achieve any access, there must be a strategy. You also need to have a strategy to crack the exam for this certification. Here are the strategic steps that will lead to success. 

  1. Collect the Information: Rather than going through hundreds of blogs on the internet, collect the right information from the official website of the certification. For detailed information about the tasks from which questions are asked, you can check the skill outline. It also comprises a detailed description of what exact topics need to be covered within each of the tasks.
  1. Learn from Tutorials and Blogs from Microsoft: There are around 3000 learning lessons provided by Microsoft that are based on different types of implementations around all the required skills in this exam. These lessons will work as the learning path to become certified. Along with these lessons, there are around a thousand blogs and tutorials available in Azure AI Gallery related to different use cases and implementations. You can go through these blogs and tutorials and learn different skills related to AI, Machine Learning and Azure.
  1. Learn through the use cases: As this exam assesses the understanding of candidates on defining a variety of workloads on Azure. So there must be a good understanding of different Azure products and services. You can go through the descriptions of all the relevant Azure products and services with their use cases. The list of these products and services can be found in the Directory of Azure Cloud Services
  1. Take Mock on MachineHack: As we discussed in the beginning, MachineHack provides Microsoft Certified: Azure Data Scientist Associate Mock on its platform where you will experience taking this exam in real. You will find the same levels of questions belonging to all the required tasks and skills and the exam is to be attempted within the stipulated time. After taking this mock exam, you will be able to assess your level of preparedness. 
  1. Repeat the steps: You can do more and more practice by repeating steps 2 to 4. You can assess your level with the mock test and again go with improving the knowledge followed by the next mock test. 

Final Words

Microsoft Certified Azure Data Scientist Associate is a standard certification that requires good preparation for the exam beforehand. Here we suggested the important steps that can be taken to prepare well. Along with learning the concepts, you must also keep checking your level and the MachineHack mock is the best way for this purpose. With strategic preparation, no goal is difficult to achieve. 

All the best!

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Dr. Vaibhav Kumar

Dr. Vaibhav Kumar is a seasoned data science professional with great exposure to machine learning and deep learning. He has good exposure to research, where he has published several research papers in reputed international journals and presented papers at reputed international conferences. He has worked across industry and academia and has led many research and development projects in AI and machine learning. Along with his current role, he has also been associated with many reputed research labs and universities where he contributes as visiting researcher and professor.
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