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NEW QUESTION: 1
You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan.
You want to understand how your model is making selections and must be sure that the model does not violate government regulations such as denying loans based on where an applicant lives.
You need to determine the extent to which each feature in the customer data is influencing predictions.
What should you do?
A. Enable data drift monitoring for the model and its training dataset.
B. Add tags to the model registration indicating the names of the features in the training dataset.
C. Score the model against some test data with known label values and use the results to calculate a confusion matrix.
D. Use the Hyperdrive library to test the model with multiple hyperparameter values.
E. Use the interpretability package to generate an explainer for the model.
Answer: E
Explanation:
When you compute model explanations and visualize them, you're not limited to an existing model explanation for an automated ML model. You can also get an explanation for your model with different test data. The steps in this section show you how to compute and visualize engineered feature importance based on your test data.
Incorrect Answers:
A: In the context of machine learning, data drift is the change in model input data that leads to model performance degradation. It is one of the top reasons where model accuracy degrades over time, thus monitoring data drift helps detect model performance issues.
B: A confusion matrix is used to describe the performance of a classification model. Each row displays the instances of the true, or actual class in your dataset, and each column represents the instances of the class that was predicted by the model.
C: Hyperparameters are adjustable parameters you choose for model training that guide the training process. The HyperDrive package helps you automate choosing these parameters.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-automl

NEW QUESTION: 2
What is the current NAA type in the WWN format used within EMC Data Domain OS 5.4?
A. 0
B. 1
C. 2
D. 3
Answer: B

NEW QUESTION: 3
View the GlobalProtect configuration screen capture.

What is the purpose of this configuration?
A. It forces an internal client to connect to an internal gateway at IP address 192.168.10.1.
B. It configures the tunnel address of all internal clients to an IP address range starting at 192.168.10.1.
C. It forces the firewall to perform a dynamic DNS update, which adds the internal gateway's hostname and IP address to the DNS server.
D. It enables a client to perform a reverse DNS lookup on 192.168.10.1 to detect that it is an internal client.
Answer: D
Explanation:
Reference:
https://www.paloaltonetworks.com/documentation/80/globalprotect/globalprotect-admin-guide/globalprotect-por the-globalprotect-client-authentication-configurations/define-the-globalprotect-agent-configurations
"Select this option to allow the GlobalProtect agent to determine if it is inside the enterprise network. This option applies only to endpoints that are configured to communicate with internal gateways.When the user attempts to log in, the agent does a reverse DNS lookup of an internal host using the specified Hostname to the specified IP Address. The host serves as a reference point that is reachable if the endpoint is inside the enterprise network. If the agent finds the host, the endpoint is inside the network and the agent connects to an internal gateway; if the agent fails to find the internal host, the endpoint is outside the network and the agent establishes a tunnel to one of the external gateways"