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NEW QUESTION: 1
Which of the following fields must you configure for the country-specific succession data model when you implement Employee Central Payroll?
A. Personnel Area Personnel Subarea
B. Work Schedule Time Management Status
C. Payscale Type Payscale Area
D. Employee Group Employee Subgroup
Answer: C

NEW QUESTION: 2
You have a Microsoft Exchange Server 2019 organization that has the mailboxes shown in the following table.

You have the distribution groups shown in the following table.

Email messages sent within the organization are shown in the following table.

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

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/exchange/policy-and-compliance/ediscovery/ediscovery?view=exchserver-2019

NEW QUESTION: 3
You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric.
The model will be retrained each month as new data is available.
You must register the model for use in a batch inference pipeline.
You need to register the model and ensure that the models created by subsequent retraining experiments are registered only if their accuracy is higher than the currently registered model.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Register the model with the same name each time regardless of accuracy, and always use the latest
B. Specify the model framework version when registering the model, and only register subsequent models if this value is higher.
C. Specify a different name for the model each time you register it.
D. Specify a tag named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy tag value of the currently registered model.
E. Specify a property named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy property value of the currently registered model.
Answer: B,D
Explanation:
E: Using tags, you can track useful information such as the name and version of the machine learning library used to train the model. Note that tags must be alphanumeric.
Reference:
https://notebooks.azure.com/xavierheriat/projects/azureml-getting-started/html/how-to-use-azureml/deployment/register-model-create-image-deploy-service/register-model-create-image-deploy-service.ipynb