172.16.32.0/24
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Answer:
Probably a sports game
Explanation:
A role-playing means acting it out, so you need to explain the life with a structured narrative.
An adventure game needs lots of background, so you need to fill that in with a structured narrative.
A sports game revolves solely around sports, so you only need to know how to play the game and/or sport, so no structured narrative is needed.
An fps game needs a structured narrative in that it is similar to an adventure game and needs background.
Let me know if I was right! Hope this helped. :)
Answer:
An employee is having trouble opening a file on a computer.
- → ✔ <u>information services and support</u>
The president of a company wants to give the company website a fresh new look.
- → ✔ <u>interactive media</u>
An employee wants to work from home but can’t connect to the network from there.
- → ✔ <u>network systems administration</u>
The vice president of sales would like help designing a new software program to keep track of sales.
- → ✔<u> programming and software development</u>
<u>OAmalOHopeO</u>
Answer:
The answer is "The global Address List (GAL) is publishes in the new certificates".
Explanation:
Describe the GAL with relate to smart card:
- The GAL is a part of the outlook, that allows the users to make a group of mutual contacts and resources specified for your G Suite domain and searchable directory.
- It provides the main mail app, that offers you to make global contacts, and also provides basic contact, with the use of business shares global addresses with others. In this process, the co-worker can change their smart card.
Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess;
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40
