Answer:
The solution code is written in Python
d = 1.5 + random.random() * 6
Explanation:
By presuming the Python random module is imported, we can use the <em>random</em> method to generate a random number. <em>random.random()</em> will give us a value in the range [0, 1). The ensure the lower limit is 1.5 instead of 0, we can add 1.5 to random.random()
This expression will give any value in range [1.5, 2.5)
To ensure the upper limit is set to 7.5, we tweak the previous expression to
- 1.5 + random.random() * 6
This expression will always multiply a random number from [0,1) with 6 and then only added with 1.5. This will always produce a random number that fulfill the inequality 1.5 ≤ d < 7.5
Answer:
The correct answer for the following question will be Data warehouse.
Explanation:
Data warehouse (DWH), is a facility provided to data analyze and for managing and controlling an organization's business intelligence tools, pull data from many sources together for survey and analysis. It helps to store the former information and allows making better information for organization. This is also known as Enterprise Data Warehouse (EDW)
Answer: False
Explanation:
The given statement is false, as the alarm filtering is the process of classifying the various type of IDPS alert in the system and it can be managed more efficiently.
The IDPS administrator can easily set an alarm filtering in the running system. It can generate the various types of positive tract in the system and then adjust the different alarm classifications. Alarm filters are same as the packet filter in which they can easily filter the items from the source and destination IP address.
