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NEW QUESTION: 1
DRAG DROP

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Answer:
Explanation:

Explanation:

Note:
*User1
/ User1 must be able to configure application domains.
/ Farm Administrators Members of the Farm Administrators group have Full Control permissions to and responsibility for all servers in the server farm. Members can perform all administrative tasks in Central Administration for the server or server farm. They can assign administrators to manage service applications, which are instances of shared services. This group does not have access to individual sites or their content.
*User2
/ User2 must be able to organize enterprise keywords.
/ Managed metadata service, is allows to use managed metadata and share content types
on Site collections and Web application level. Managed meta data service application
publishes term store, content types in site collection/Web application level and a managed
metadata connection in share point.
*User3
/ User3 must be able to manage blocked file types.

NEW QUESTION: 2
Which two components can you include in the time device processing profile, if you are using Web Clock as a time collection device for a group of workers? (Choose two.)
A. time device export data
B. time device rule set
C. time submission rule set
D. time device event mappings set
Answer: B,C
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/en/cloud/saas/global-human-resources/r13-update17d/faitl/time- collection-device-configurations.html#FAITL1784290

NEW QUESTION: 3
You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions.
You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of fraud based on transaction data input.
You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used to deploy the model.
What should the entry script do?
A. Load the model and use it to predict labels from input data.
B. Create a Conda environment for the web service compute and install the necessary Python packages.
C. Specify the number of cores and the amount of memory required for the inference compute.
D. Start a node on the inference cluster where the web service is deployed.
E. Register the model with appropriate tags and properties.
Answer: B