Design & Implement a Data Science Solution on Azure [DP-100] Exam Questions & Answers

In this blog: , we are going to cover the Design & Implement a Data Science Solution on Azure [DP-100] Exam Questions & Answers that give you a first-hand idea of the type of sample exam questions and answers that may appear in the final certification exam.
The DP 100 Microsoft Azure Data Scientist Certification is aimed towards those who apply their knowledge of data science and machine learning to implement and run machine learning workloads on Azure, using Azure Machine Learning Service. This implies planning and creating a suitable working environment for data science workloads on Azure, running data experiments, and training predictive ML models.

Question: You have a real-time inference web service that you have just deployed to Azure Kubernetes Service. During its run, some unexpected errors occur. You need to troubleshoot it quickly and cost-effectively. Which is the quickest and cheapest option you can use?
A. Deploy it as a local web service and debug locally
B. Deploy it to ACI
C. Use a compute instance as a deployment target for debugging
D. Deploy it to AKS and set the maximum number of replicas to one; debug it in the production environment

Correct Answer: A
Explanation: Option A is CORRECT because using a local web service makes it easier to troubleshoot and debug problems. If you have problems with your model deployed to ACI or AKS, try deploying it as a local web service. You can then troubleshoot runtime issues by making changes to the scoring file referenced in the inference configuration, and reloading the service without redeploying it. This can be done only with local services.

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