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NEW QUESTION: 1
For the Change Manager transaction, the first-level approval is set to the Application Role type. The name of the application role is HR Specialist Sales. In the Change Manager approval rule configuration, the Enable Auto Claim option is deselected.
Which two actions take place when the transaction for manager change is initiated for employees?
(Choose two.)
A. If one of the HR Specialist Sales representatives rejects the transaction, others can still approve it.
B. The transaction goes into error because it was not auto-claimed.
C. The transaction will be auto-claimed and assigned randomly to anyone who has the HR Specialist Sales role.
D. The transaction goes for approval to all the workers who inherit the HR Specialist Sales role.
E. The transaction has to be approved by all HR Specialist Sales representatives for it to be approved.
F. One of the HR Specialist Sales representatives should "Claim" the transaction for it to be assigned for approval.
Answer: D,F
NEW QUESTION: 2
In the EMC Avamar Administration Server View, what color is the status indicator when the node cannot communicate with the administrator server?
A. Red
B. Gray
C. Blue
D. Amber
Answer: B
Explanation:
Explanation/Reference:
Explanation/Reference:
NEW QUESTION: 3
Which CLI command is used to collect traces from the Cisco Presence engine for seven days?
A. file build log presence_engine 168
B. file build log presence_engine 7
C. file build log cisco_presence 168
D. file build log cisco_presence_engine 7
Answer: D
Explanation:
Reference:
https://www.cisco.com/c/en/us/td/docs/voice_ip_comm/cucm/im_presence/ configAdminGuide/12_0_1/cup0_b_config-admin-guide-imp-1201/cup0_b_config-admin-guide-imp- 1201_chapter_010101.html
NEW QUESTION: 4
You need to train a computer vision model that predicts the type of government ID present in a given image using a GPU-powered virtual machine on Compute Engine. You use the following parameters:
* Optimizer: SGD
* Image shape = 224x224
* Batch size = 64
* Epochs = 10
* Verbose = 2
During training you encounter the following error: ResourceExhaustedError: out of Memory (oom) when allocating tensor. What should you do?
A. Reduce the batch size
B. Change the optimizer
C. Change the learning rate
D. Reduce the image shape
Answer: A