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NEW QUESTION: 1
Assuming the Steelhead appliance has a 250 GB datastore capacity, by enabling PFS on a supported Steelhead appliance which of the following would be true:
A. The datastore capacity will grow due to the amount of space added by PFS
B. The datastore capacity will have to be reformatted
C. The datastore capacity will shrink due to the amount of space used by PFS
D. The datastore capacity does not change
Answer: D

NEW QUESTION: 2
Where can you obtain a list of the latest top issues that are related to a particular product or solution?
A. Support Case Manager
B. SmartSetup CD
C. HP Support Center
D. HP Enterprise Business Community
Answer: C

NEW QUESTION: 3
An analyst asks a technician to recommend a solution for a customer in the software development industry, where the customer can test a variety of OS's running the various applications that the customer produces.
The customer wants to minimize the investment in hardware.
Which of the following solutions should the technician recommended to BEST meet the customer's requirement?
A. Purchase a high-end system meeting the hardware requirements for all of the individual Oss and applications. Configure a VM for each testing environment.
B. Purchase a number of computers, installing a VM on each one. Configure each VM with an OS for the testing environment.
C. Purchase one computer and create images for each computer configuration and OS. Re-image the machine for each testing environment.
D. Purchase a number of low-cost devices, installing the required Oss and applications on each one. Use separate machines for each testing environment.
Answer: A

NEW QUESTION: 4
Data mining is a process of sorting through data to identify patterns and establish relationships. Which of the following data mining parameters looks for patterns where one event is connected to another event?
A. Clustering
B. Sequence or path analysis
C. Association
D. Forecasting
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Data mining is a process of sorting through data to identify patterns and establish relationships. Following are the data mining parameters:
Association: Looking for patterns where one event is connected to another event.

Sequence or path analysis: Looking for patterns where one event leads to another later event.

Classification: Looking for new patterns (may result in a change in the way the data is organized but is

acceptable).
Clustering: Finding and visually documenting groups of facts not previously known.

Forecasting: Discovering patterns in data that can lead to reasonable predictions about the future (This

area of data mining is known as predictive analytics).