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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains a user account named User1 that resides in an organizational unit (OU) named OU1.
A Group Policy object (GPO) named GPO1 is linked to OU1. GPO1 is used to publish several applications to a user named User1.
In the Users container, you create a new user named User2.
You need to ensure that the same applications are published to User2.
What should you do?
A. Link a WMI filter to GPO1.
B. Modify the security of GPO1.
C. Move User2 to OU1
D. Modify the settings in GPO1.
Answer: C
Explanation:
Moving User2 to OU1 will give him the same access as User1.
The GPO is linked to OU1. By moving User2 to OU1 the GPO will be applied to this user.
NEW QUESTION: 2
Where can an end user see in-depth details of a KPI, including its long description, communication logs and configurable historical trending?
A. KPI Template
B. Start Center
C. KPI Viewer
D. KPI Manager
Answer: D
Explanation:
Explanation/Reference:
Reference: https://www.ibm.com/support/knowledgecenter/en/SS8CCV_7.6.0.5/com.ibm.mams.doc/ overview/c_new_kpis.html
NEW QUESTION: 3
A key tool and technique used in define scope is______________
A. Templates, forms, and standards
B. Expert judgment
C. Project management methodology
D. Decomposition
Answer: B
Explanation:
Expert judgment is used to analyze the information needed to develop a project scope statement. It is applied to any technical details. [Planning] PMI@, PMBOK@ Guide, 2013, 122
NEW QUESTION: 4
You are preparing to use the Azure ML SDK to run an experiment and need to create compute. You run 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:
Explanation:
Box 1: No
If a training cluster already exists it will be used.
Box 2: Yes
The wait_for_completion method waits for the current provisioning operation to finish on the cluster.
Box 3: Yes
Low Priority VMs use Azure's excess capacity and are thus cheaper but risk your run being pre-empted.
Box 4: No
Need to use training_compute.delete() to deprovision and delete the AmlCompute target.
Reference:
https://notebooks.azure.com/azureml/projects/azureml-getting-started/html/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.computetarget