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Nat2105 [25]
2 years ago
11

A user reports that he cant browse to a specific website on the internet. From his computer, you find that a ping test to the We

b server succeeds. SA traceroute test dhows 17 hops to the destination web server. WHats the cause of the problem?
Computers and Technology
1 answer:
ikadub [295]2 years ago
7 0

Answer:

Incorrect DNS server address

Explanation:

You might be interested in
A computing company is running a set of processes every day. Each process has its own start time and finish time, during which i
Helga [31]

Answer:

Above all else, let us show that this issue has the greedy choice property.

This implies that worldwide ideal arrangement can be gotten by choosing local ideal arrangements. Presently notice the following:

The global optimal solution of the issue requests us to track down the minimum number of times process_check module should be run.

It is likewise referenced that during each running interaction, process_check module should be called atleast once. Along these lines, the minimum possible number of process_check calls happens when process_check is made close to the quantity of the processes that are run.

Along these lines, we see that the global optimal solution is shaped by choosing optimal answer for the nearby advances.

Along these lines, the issue shows greedy choice property. Thus, we can utilize a greedy algorithm for this issue.

The greedy step in this calculation is to postpone the process_check as far as might be feasible. Thus, it should be run towards the finish of each interaction. So the following algorithm can be utilized:

Sort the cycles by utilizing the completion times.

Towards the finish of the 1st process in the arranged list, run the process_check module. Right now any process that is now running is removed the arranged rundown. The main interaction is additionally removed from the sorted list.

Now repeat stage 2, till all processes are finished.

In the above mentioned algorithm, the costliest advance is the step of sorting. By utilizing the optimal sorting algorithm, for example, merge sort, we can achieve it in O(n log n) asymptotic time.

Along these lines, this greedy algorithm additionally takes O(n log n) asymptotic time complexity.

5 0
3 years ago
Problem Statement − Suppose the problem statement at hand is to contain the attrition that happens in companies worldwide. High
Tju [1.3M]

Answer:Analysis is derived from the Greek word ‘analusis’, which translates into ‘breaking up’ in English. Analysis is older than the times of great philosophers like Aristotle and Plato. As discussed in the previous section, analysis is the process of breaking down a big single entity into multiple fragments. It is a deduction where a bigger concept is broken down to smaller ones. This breaking down into smaller fragments is necessary for improved understanding.

So, how does analysis help in design thinking? During analysis, design thinkers are required to break down the problem statement into smaller parts and study each one of them separately. The different smaller components of the problem statement are to be solved one-by-one, if possible. Then, solutions are thought for each of the small problems. Brainstorming is done over each of the solutions.

Later, a feasibility check is done to include the feasible and viable solutions. The solutions that don’t stand firm on the grounds of feasibility and viability are excluded from the set of solutions to be considered.

Design thinkers are, then, encouraged to connect with the diverse ideas and examine the way each idea was composed. This process of breaking down the bigger problem statement at hand into multiple smaller problem statements and examining each as a separate entity is called analysis.

Reductionism

The underlying assumption in analysis is reductionism. Reductionism states that the reality around us can be reduced down to invisible parts. The embodiment of this principle is found in basic axioms of analytic geometry, which says “the whole is equal to the sum of its parts”. However, understanding of a system cannot be developed by analysis alone. Hence, synthesis is required following analysis.

Synthesis

Synthesis refers to the process of combining the fragmented parts into an aggregated whole. It is an activity that is done at the end of the scientific or creative inquiry. This process leads to creation of a coherent bigger entity, which is something new and fresh. How does synthesis come into picture in design thinking?

Once the design thinkers have excluded the non-feasible and non-viable solutions and have zeroed-in on the set of feasible and viable solutions, it is time for the thinkers to put together their solutions.

Out of 10 available solutions, around 2-3 solutions may need to be excluded since they may not fit into the larger picture, i.e. the actual solution. This is where synthesis helps.

The design thinkers start from a big entity called the problem statement and then end up with another bigger entity, i.e. the solution. The solution is completely different from the problem statement. During synthesis, it is ensured that the different ideas are in sync with each other and do not lead to conflicts.

Analysis + Synthesis = Design Thinking

Analysis and synthesis, thus, form the two fundamental tasks to be done in design thinking. Design thinking process starts with reductionism, where the problem statement is broken down into smaller fragments. Each fragment is brainstormed over by the team of thinkers, and the different smaller solutions are then put together to form a coherent final solution. Let us take a look at an example.

Analysis Synthesis

Case Study

Problem Statement − Suppose the problem statement at hand is to contain the attrition that happens in companies worldwide. High quality employees leave the organization, mainly after the appraisal cycle. As a result, an average company loses its valuable human resources and suffers from overhead of transferring the knowledge to a new employee. This takes time and additional human resource in the form of a trainer, which adds to the company’s costs. Devise a plan to contain attrition in the company.

Analysis − Now, let’s break down the problem statement into various constituent parts. Following are the subparts of the same problem statement, broken down to elementary levels.

The employees are not motivated anymore to work in the company.

Appraisal cycle has something to do with attrition.

Knowledge transfer is necessary for new employees.

Knowledge transfer adds to the cost of the company.

Synthesis − Now, let's start solving each problem individually. In this step, we will do synthesis. Let's look at one problem at a time and try to find a solution only for that problem statement, without thinking of other problem statements.

Explanation:

6 0
3 years ago
HELP!!!
jeyben [28]

Answer:

A. a tool tip

Explanation:

6 0
3 years ago
Read 2 more answers
Write a recursive program that requests an answer to the question "Are we there yet?" using an input statement and terminates if
inna [77]

Answer:

def recursive_func():

   x = input("Are we there yet?")

   if x.casefold() == 'Yes'.casefold():

       return

   else:

       recursive_func()

recursive_func()

Explanation:

We define the required function as recursive_func().

The first line takes user input. The user input is stored in variable x.

The next line compares the user input to a string yes. The function executes the else block if the condition isn't met, that is a recursive call is executed.

IF condition returns the function. The string in variable X is compared to a string 'Yes'. the casefold() is a string function that ignores the upper/lower cases when comparing two strings. (This is important because a string 'yes' is not the same yes a string 'Yes' or 'YES'. Two equal strings means their cases and length should match).

3 0
4 years ago
TULPCOAONIAC<br>TRUOESP<br> this is un scrambled word​
MaRussiya [10]

<em>Answer:</em>

1.)OCCUPATIONAL

2.)POSTURE

<em>This is the answer thank youu!</em>♡︎♡︎

4 0
3 years ago
Read 2 more answers
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