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Data Engineering on Microsoft Azure
- Exam Number/Code : DP-203
- Exam Name : Data Engineering on Microsoft Azure
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
You are developing an application that needs access to an Azure virtual machine (VM). The access lifecycle for the application must be associated with the VM service instance. You need to enable managed identity for the VM.
How should you complete the PowerShell segment? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
Explanation
$vm = Get-AzVM -ResourceGroupName myResourceGroup -Name myVM
Update-AzVM -ResourceGroupName myResourceGroup -VM $vm -AssignIdentity:$SystemAssigned
https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/qs-configure-powers
NEW QUESTION: 2
A user has been granted a delegated admin to a custom object. What can he complete on that object. Choose 2
A. Modify Sharing Settings
B. Modify OWD
C. Create custom Picklist in that object
D. Create a new Custom field
Answer: C,D
NEW QUESTION: 3
You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.
Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Sweep Clustering
Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.
One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.
Step 2: Train Model
Step 3: Evaluate Model
Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.
You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.
References:
http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html