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To make you capable of preparing for the Microsoft DP-100 exam smoothly, we provide actual Microsoft DP-100exam dumps. Hence, our accurate, reliable, and top-ranked Microsoft DP-100 exam questions will help you qualify for your Designing and Implementing a Data Science Solution on Azure DP-100 Certification. Do not hesitate and check out Designing and Implementing a Data Science Solution on Azure DP-100 practice exam to stand out from the rest of the others.

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This exam measures your ability to accomplish the following technical tasks: manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning.

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Candidates for the DP-100 certification exam should have experience with Azure services and tools, as well as a strong understanding of data science concepts and methodologies. It is recommended that you have at least one year of experience working with data science projects before attempting DP-100 Exam. With the DP-100 certification, you can demonstrate your expertise to potential employers and advance your career in the field of data science.

Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q126-Q131):

NEW QUESTION # 126
Hotspot Question
You are using hyperparameter tuning in Azure Machine Learning Python SDK v2 to train a model.
You configure the hyperparameter tuning experiment by running the following code:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 127
Hotspot Question
You create an Azure Machine Learning workspace. You train a classification model by using automated machine learning (automated ML) in Azure Machine Learning studio. The training data contains multiple classes that have significantly different numbers of samples.
You must use a metric type to avoid labeling negative samples as positive and an averaging method that will minimize the class imbalance.
You need to configure the metric type and the averaging method.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 128
You are implementing a machine learning model to predict stock prices.
The model uses a PostgreSQL database and requires GPU processing.
You need to create a virtual machine that is pre-configured with the required tools.
What should you do?

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview


NEW QUESTION # 129
You create a binary classification model using Azure Machine Learning Studio.
You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model.
You need to create the required business metrics.
How should you complete the experiment? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 130
You deploy a real-time inference service for a trained model.
The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates.
You need to implement a monitoring solution for the deployed model using minimal administrative effort.
What should you do?

Answer: B

Explanation:
Configure logging with Azure Machine Learning studio
You can also enable Azure Application Insights from Azure Machine Learning studio. When you're ready to deploy your model as a web service, use the following steps to enable Application Insights:
1. Sign in to the studio at https://ml.azure.com.
2. Go to Models and select the model you want to deploy.
3. Select +Deploy.
4. Populate the Deploy model form.
5. Expand the Advanced menu.
6. Select Enable Application Insights diagnostics and data collection.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-enable-app-insights


NEW QUESTION # 131
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