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xenn [34]
2 years ago
8

Question 1 :Which type of unshielded twisted pair (UTP) cable is commonly used for 1000BASE-T Ethernet networks and is often mad

e of relatively thick conductors (for example, 22 gauge or 23 gauge wire) and thick insulation?
Computers and Technology
1 answer:
ryzh [129]2 years ago
7 0

Answer:

Category 6 Cabling

Explanation:

Category 6 cables are High-performance UTP cable that can transmit data 10/100/1000Mbps transfer and up to 10Gbps over shorter distances. They usually make uses of a longitudinal separator, this seperators always tend to separates each of the four pairs of wires from each other.

A twisted-pair cable is a cables that is mostly made of copper wires that are twisted around each other and are surrounded by a plastic jacket, twisted pair cables are majorly used for networking.

There are two types of twisted pair cable,

UTP (Unshielded Twisted Pair) are a type of twisted pair cabling that does not include shielding around its conductors.

STP(shielded twisted pair) are types of twisted pair cabling that does include shield around its conductors.

A category 6 cable can eithet be pure copper UTP or STP.

And they are best for networking.

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You are consulting for a trucking company that does a large amount ofbusiness shipping packages between New York and Boston. The
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Answer:

Answer explained with detail below

Explanation:

Consider the solution given by the greedy algorithm as a sequence of packages, here represented by indexes: 1, 2, 3, ... n. Each package i has a weight, w_i, and an assigned truck t_i. { t_i } is a non-decreasing sequence (as the k'th truck is sent out before anything is placed on the k+1'th truck). If t_n = m, that means our solution takes m trucks to send out the n packages.

If the greedy solution is non-optimal, then there exists another solution { t'_i }, with the same constraints, s.t. t'_n = m' < t_n = m.

Consider the optimal solution that matches the greedy solution as long as possible, so \for all i < k, t_i = t'_i, and t_k != t'_k.

t_k != t'_k => Either

1) t_k = 1 + t'_k

    i.e. the greedy solution switched trucks before the optimal solution.

    But the greedy solution only switches trucks when the current truck is full. Since t_i = t'_i i < k, the contents of the current truck after adding the k - 1'th package are identical for the greedy and the optimal solutions.

    So, if the greedy solution switched trucks, that means that the truck couldn't fit the k'th package, so the optimal solution must switch trucks as well.

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  2) t'_k = 1 + t_k

     i.e. the optimal solution switches trucks before the greedy solution.

     Construct the sequence { t"_i } s.t.

       t"_i = t_i, i <= k

       t"_k = t'_i, i > k

     This is the same as the optimal solution, except package k has been moved from truck t'_k to truck (t'_k - 1). Truck t'_k cannot be overpacked, since it has one less packages than it did in the optimal solution, and truck (t'_k - 1)

     cannot be overpacked, since it has no more packages than it did in the greedy solution.

     So { t"_i } must be a valid solution. If k = n, then we may have decreased the number of trucks required, which is a contradiction of the optimality of { t'_i }. Otherwise, we did not increase the number of trucks, so we created an optimal solution that matches { t_i } longer than { t'_i } does, which is a contradiction of the definition of { t'_i }.

   So the greedy solution must be optimal.

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Answer:

Check the explanation

Explanation:

Ans 1) storing the data in one single row comes with its own barriers and that is if you delete one of the record in the spreadsheet, all the equivalent records which you didn't wanted to delete would be deleted. For take for instance, if you wish to delete the record of author "James Taylor" then all the books he has written would also be deleted from the spreadsheet.

Ans 2) In 1NF, all row is expected to have only 1 tuple, but here in this spreadsheet the title field for Author "James Taylor" has 2 books, so it would be separated into single rows.

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Author(Author Name, Author Country)

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