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NEW QUESTION: 1
An administrator is setting up a new VSAN and needs to use IVR lo allow access lo backup tape storage targets located in a differentVSAN.There is an existing Nexus 5K switch in the SAN fabric that the admin would like to use; however, the switch is not IVR-enabled. How can the Cisco Nexus switch be used?
A. As an Edge switch
B. As a Border switch or IVR NAT gateway
C. As a Transit switch.
D. It cannot be used, since only MOS Switches implement IVR
Answer: D

NEW QUESTION: 2
You are the project manager of the NHQ project in Bluewell Inc. The project has an asset valued at $200,000 and is subjected to an exposure factor of 45 percent. If the annual rate of occurrence of loss in this project is once a month, then what will be the Annual Loss Expectancy (ALE) of the project?
A. $ 90,000
B. $ 95,000
C. $ 108,000
D. $ 2,160,000
Answer: C
Explanation:
The ALE of this project will be $ 108,000. Single Loss Expectancy is a term related to Quantitative Risk Assessment. It can be defined as the monetary value expected from the occurrence of a risk on an asset. It is mathematically expressed as follows: SLE = Asset value * Exposure factor Therefore, SLE = 200,000 * 0.45 = $ 90,000 As the loss is occurring once every month, therefore ARO is 12. Now ALE can be calculated as follows: ALE = SLE * ARO = 90,000 * 12 = $ 108,000

NEW QUESTION: 3
You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment.
You need to configure the module. You must meet the following requirements:
* Divide the data into subsets
* Assign the rows into folds using a round-robin method
* Allow rows in the dataset to be reused
How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Use the Split data into partitions option when you want to divide the dataset into subsets of the data. This option is also useful when you want to create a custom number of folds for cross-validation, or to split rows into several groups.
* Add the Partition and Sample module to your experiment in Studio (classic), and connect the dataset.
* For Partition or sample mode, select Assign to Folds.
* Use replacement in the partitioning: Select this option if you want the sampled row to be put back into the pool of rows for potential reuse. As a result, the same row might be assigned to several folds.
* If you do not use replacement (the default option), the sampled row is not put back into the pool of rows for potential reuse. As a result, each row can be assigned to only one fold.
* Randomized split: Select this option if you want rows to be randomly assigned to folds.
If you do not select this option, rows are assigned to folds using the round-robin method.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample