This blog post will cover some quick tips including FAQs on the topics that we covered in the Day 6 live session which will help to clear Certification [DP-100] & get a better-paid job.
In the previous week’s sessions, in Day 5 session we got an overview of Deploy and Consuming Models Training Optimal Models. And in this week’s Day 6 Live Session of the AI/ML & Azure Data Scientist Certification [DP-100] training program, we covered the concepts of Responsible Machine Learning and Monitoring Models. We also covered hands-on Lab 17, Lab 18, Lab 19, Lab 20 and Lab 21 out of our 15+ extensive labs.
So, here are some of the Q & As asked during the Live session from Module 9: Responsible Machine Learning and Module 10: Monitoring Models & Hands-on Labs of Microsoft Azure Data Scientist [DP-100].
Responsible Machine Learning.
Monitoring Models
Feedback Received…
Quiz Time (Sample Exam Questions)!
With our AI/ML & Azure Data Science training program, we cover 150+ sample exam questions to help you prepare for the certification DP-100.
Check out one of the questions and see if you can crack this…
Ques: You have a forecasting ML model in production. After several months of live operation, you notice that the model has been degrading in terms of predictive accuracy. You have to introduce tools to detect and quantify the problem.
What is the best way to do that?
A. Collect new data; add a new ImportData step to your pipeline; import the new data and use it further on
B. Collect new data; add the new data to the training dataset; retrain the model; configure a DataDriftDetector
C. Collect new data; use the training dataset as baseline; register the new data as target dataset; configure a DataDriftDetector
D. Collect new data as a new version of the training dataset; write a Python script to profile and compare them; retrain the model if necessary; publish the new model
Comment with your answer & we will tell you if you are correct or not!!
Related/References
- [DP-100] Design & Implement a Data Science Solution on Azure QnA Day 2 Live Session Review
- [DP-100] Design & Implement a Data Science Solution on Azure QnA Day 3 Live Session Review
- [DP-100] Design & Implement a Data Science Solution on Azure QnA Day 4 Live Session Review
- Azure Machine Learning Service Workflow: Overview for Beginners
- Azure ML Model
- Automated ML In Azure
- [AI-900] Microsoft Certified Azure AI Fundamentals Course: Everything you must know
Next Task For You
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