Azure DP-100 exam requirements vs. learning materials

Question

Hello,

I have a question about the requirements for Azure DP-100. Based on information from "Study guide for Exam DP-100: Designing and Implementing a Data Science Solution on Azure" available here: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-100 and study materials here: https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-100/. I see some discrepancies between study guides and learning materials. For example, there is nothing in the learning materials about:

• Apply machine learning operations (MLOps) practices
• Assess a model by using responsible AI guidelines
• Access and wrangle data during interactive development
• Wrangle interactive data with Apache Spark

Moreover, learning materials contain duplicate modules such as:

• Work with data in Azure Machine Learning
• Run a training script as a command job in Azure Machine Learning
• Track model training with MLflow in jobs
• Perform hyperparameter tuning with Azure Machine Learning

Are they redundant, or is some material missing as a result of this bug?

Kind regards

Mateusz

Answer 1

Hi Mateusz Izdebski,

We appreciate your patience.

We have reached out to the content author, and conveyed your concerns and the author has confirmed that the Learn paths will be revised and updated in the next major update very soon.

I hope the information provided has been helpful to you! If so, please accept the answer by clicking the "Accept Answer" and "Upvote" on the post.

Thank you.