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NEW QUESTION: 1
You have a server named Server1 that runs Windows Server 2012 R2.
On Server1, you configure a custom Data Collector Set (DCS) named DCS1. DCS1 is configured to store performance log data in C:\Logs.
You need to ensure that the contents of C:\Logs are deleted automatically when the folder reaches 100 MB in size.
What should you configure?
A. The Data Manager settings of DCS1
B. A File Server Resource Manager (FSRM) quota on the C:\Logs folder
C. A schedule for DCS1
D. A File Server Resource Manager (FSRM) file screen on the C:\Logs folder
Answer: A
Explanation:
To configure data management for a Data Collector Set
1 . In Windows Performance Monitor, expand Data Collector Sets and click User Defined.
2 . In the console pane, right-click the name of the Data Collector Set that you want to configure and click Data Manager.
3 . On the Data Manager tab, you can accept the default values or make changes according to your data retention policy. See the table below for details on each option.
When Minimum free disk or Maximum folders is selected, previous data will be deleted according to the Resource policy you choose (Delete largest or Delete oldest) when the limit is reached. When Apply policy before the data collector set starts is selected, previous data will be deleted according to your selections before the data collector set creates its next log file.
When Maximum root path size is selected, previous data will be deleted according to your selections when the root log folder size limit is reached.
4 . Click the Actions tab. You can accept the default values or make changes. See the table below for details on each option.
5 . When you have finished making your changes, click OK.

NEW QUESTION: 2
Another type of artificial intelligence technology involves genetic
algorithms. Genetic algorithms are part of the general class known as:
A. Neural networks
B. Suboptimal computing
C. Evolutionary computing
D. Biological computing
Answer: C
Explanation:
Evolutionary computing uses the Darwinian principles of survival of
the fittest, mutation, and the adaptation of successive generations of
populations to their environment. The genetic algorithm implements
this process through iteration of generations of a constant-size population of items or individuals. Each individual is characterized by a finite string of symbols called genomes. The genomes are used to represent possible solutions to a problem in a fixed search space. For example, if the fixed population of the first generation of individuals consists of random binary numbers, and the problem is to find the minimum binary number that can be represented by an individual,
each binary number is assigned a fitness value based on the individuals binary number value. The smaller the binary number represented by a parent individual, the higher level of fitness that is
assigned to it. Through cross breeding among the numbers (known
as crossover), mutations of the numbers, and pairing of numbers with
high fitness ratings, the smallest value that can be represented by the number of bits in the binary number will emerge in later generations.
*Answer neural networks, is incorrect and has been discussed
extensively in previous questions in this chapter.
*Answer Suboptimal computing is a distracter and answer biological computing, refers to computation performed by using certain characteristics of living organisms.

NEW QUESTION: 3
DRAG DROP
You are creating a Touch Develop app.
Which library would you use to access each function? To answer, drag the appropriate library from the column on the left to the function on the right. Each library may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation: