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NEW QUESTION: 1
Select the correct statements about the structure and functions of the hard disk components. (Multiple Choice)
A. The disk connector is responsible of connection and rotation of the platter.
B. Disk platter is responsible of storing data in binary form.
C. The spindle is responsible for sending commands to the disk head.
D. The actuator is responsible of moving the Read/Write arm.
Answer: B,D
NEW QUESTION: 2
Employers will typically use which of the following in order to protect confidential company information?
A. Lie detector test
B. Employee contract
C. Nondisclosure agreement
D. Random searches
E. Video surveillance
Answer: C
Explanation:
Explanation: Organizations typically use the nondisclosure agreement to protect their confidential company information. The lie detector test is only legal within certain boundaries, so answer choice A is incorrect. An employee contract generally binds an employee to the company for a specified length of time, but it does not necessarily protect confidential company information, so answer choice C is incorrect. Organizations utilize video surveillance and random searches to ensure that employees are performing their tasks appropriately, but these activities alone do not protect confidential company information, so answer choices D and E are incorrect.
NEW QUESTION: 3
An organization uses Azure Machine Learning service and wants to expand their use of machine learning.
You have the following compute environments. The organization does not want to create another compute environment.
You need to determine which compute environment to use for the following scenarios.
Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: nb_server
Box 2: mlc_cluster
With Azure Machine Learning, you can train your model on a variety of resources or environments, collectively referred to as compute targets. A compute target can be a local machine or a cloud resource, such as an Azure Machine Learning Compute, Azure HDInsight or a remote virtual machine.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets