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NEW QUESTION: 1
When connecting a PowerStore base enclosure to 2 expansion enclosures, match the base SAS ports in column A to their corresponding expansion LCC ports in column B.

Answer:
Explanation:

Reference:
https://www.dell.com/support/manuals/pk/en/pkbsd1/powerstore-1000/pwrstr-isg/cable-the-base-enclosure-to- the-expansion-enclosure?guid=guid-d68d049f-2b77-489f-b1ab-553f4f3de8aa&lang=en-us

NEW QUESTION: 2
View the Exhibit.

Refer to the exhibit. Which statement about the topology is true?
A. If Router A fails, the highest interface IP address backup router becomes the master.
B. Client 1, Client 2, and Client 3 are configured to have the default gateway IP address of 10.0.0.1.
C. Traffic to and from LAN clients is sent through the master router only.
D. Multiple VRRP groups are configured on each router.
Answer: B

NEW QUESTION: 3
You are retrieving data from a large datastore by using Azure Machine Learning Studio.
You must create a subset of the data for testing purposes using a random sampling seed based on the system clock.
You add the Partition and Sample module to your experiment.
You need to select the properties for the module.
Which values should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Box 1: Sampling
Create a sample of data
This option supports simple random sampling or stratified random sampling. This is useful if you want to create a smaller representative sample dataset for testing.
1. Add the Partition and Sample module to your experiment in Studio, and connect the dataset.
2. Partition or sample mode: Set this to Sampling.
3. Rate of sampling. See box 2 below.
Box 2: 0
3. Rate of sampling. Random seed for sampling: Optionally, type an integer to use as a seed value.
This option is important if you want the rows to be divided the same way every time. The default value is 0, meaning that a starting seed is generated based on the system clock. This can lead to slightly different results each time you run the experiment.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample