Preparation for Exam DP-100: Designing and Implementing a Data Science Solution on Azure (2021)

Hi guys, I’m Jay. I have been working at AltoTech as a data scientist since December 2019.

My first resolution for 2021 is to pass the DP-100 exam to become Microsoft certified data scientist. And it’s been 43 days since the first day of this year. I think I’m halfway on the preparation journey phase. Therefore, I write this post to summarize what I have already learned and what is still left for me to study so that I can pass the exam.

I summarize everything into four main steps.

Step 1: the exam website
Step 2: the skills measured document
Step 3: machine learning essentials on YouTube
Step 4: the learning paths

Step 1

The first step is to go to the exam website.

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

You’ll find a link to the Journey to certification as shown in the below picture.

https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE4ABJV

Step 2

The second step is to download the skills measured document.

https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE3VEHg

1. Run experiments and train models (25-30%)
2. Optimize and manage models (20-25%)
3. Deploy and consume model (20-25%)

Step 3

Watch machine learning essentials YouTube playlist on Microsoft Azure YouTube channel.

3.1 fundamentals of machine learning in the cloud

https://www.youtube.com/watch?v=CtX0GZpWz6M

3.2 machine learning tools in Microsoft azure

https://www.youtube.com/watch?v=8JEG2R6n4YQ&list=PLLasX02E8BPCL966bJ00oIeOhm7w5ejvt&index=2

3.3 Deep learning fundamentals with PyTorch

https://www.youtube.com/watch?v=AS2cHhwcv0Q&list=PLLasX02E8BPCL966bJ00oIeOhm7w5ejvt&index=3

3.4 Low code machine learning in Azure

https://www.youtube.com/watch?v=mwJ5Vbmy1AM&list=PLLasX02E8BPCL966bJ00oIeOhm7w5ejvt&index=4

Step 4

Study the learning paths to gain the skill needed to become certified.

4.1 Create machine learning models

Create machine learning models - Learn

5 Modules
Estimated Learning Time: 5 hr 50 min

[1] Explore and analyze data with Python (54 min)
[2] Train and evaluate regression models (59 min)
[3] Train and evaluate classification models (59 min)
[4] Train and evaluate clustering models (44 min)
[5] Train and evaluate deep learning models (2 hr 14 min)

4.2 Create no code predictive models with Azure machine learning

Create no-code predictive models with Azure Machine Learning - Learn

4 Modules
Estimated Learning Time: 3 hr 29 min

[1] Use automated machine learning in Azure Machine Learning
[2] Create a Regression Model with Azure Machine Learning designer
[3] Create a classification model with Azure Machine Learning designer
[4] Create a Clustering Model with Azure Machine Learning designer

4.3 Build AI Solutions with Azure machine learning

Build AI solutions with Azure Machine Learning - Learn

14 Modules
Estimated Learning Time: 10 hr 11 min

[1] Introduction to the Azure Machine Learning SDK (1 hr)
[2] Train a machine learning model with Azure Machine Learning (40 min)
[3] Work with Data in Azure Machine Learning (45 min)
[4] Orchestrate machine learning with pipelines (55 min)
[5] Deploy real-time machine learning services with Azure Machine Learning (40 min)
[6] Deploy batch inference pipelines with Azure Machine Learning (44 min)
[7] Tune hyperparameters with Azure Machine Learning (46 min)
[8] Automate machine learning model selection with Azure Machine Learning (25 min)
[9] Explore differential privacy (38 min)
[10] Explain machine learning models with Azure Machine Learning (47 min)
[11] Detect and mitigate unfairness in models with Azure Machine Learning (45 min)
[12] Monitor models with Azure Machine Learning (39 min)
[13] Monitor data drift with Azure Machine Learning (49 min)

Additional Resources:

1. E-book: Mastering Azure Machine Learning

Mastering Azure Machine Learning