Which of the following is an incorrect statement?The cloud consumers save money because they can select most appropriate (effective) cloud services for their business operations.Adopting the cloud services saves the capital expenses, but, it does not save the operational costs.Like the cloud consumers, the cloud service providers can lease resources on the on-demand basis.Consumers save money because the cloud service providers purchase IT resources at the large scale and lower

If you want to update the DNS server information right away, you can use the "ipconfig /flushdns" command at the command line. This command will flush the DNS resolver cache, which stores the DNS lookup results. By flushing the cache, your workstation will discard the existing DNS information and retrieve the updated information from the DNS server immediately.

To use this command, follow these steps:

Open the Command Prompt by pressing the Windows key + R, typing "cmd" in the Run dialog box, and pressing Enter.

In the Command Prompt, type "ipconfig /flushdns" and press Enter.

Wait for the command to complete, which should only take a few seconds.

Try accessing the website or server again to see if the updated DNS information has been retrieved.

Note that flushing the DNS cache will temporarily slow down your browsing experience as your workstation will have to re-fetch the DNS information from the DNS server for every new request.

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Whenever a web client visits a web server, saved data or information for the requested web page are sent from the client to the server.

This can include cookies, session information, and cache files. The web server then uses this information to provide a personalized and efficient browsing experience for the user. The web server then sends the requested web page back to the client for display.

A web server is software and hardware that responds to client requests sent over the World Wide Web using the HTTP (Hypertext Transfer Protocol) and other protocols. A web server's primary responsibility is to show website content by storing, processing, and sending webpages to users.

A web client is a client-side program used to establish an HTTP connection to a web server. The tool that shows online pages downloaded from the server and enables user interaction with the web server is often a web browser or web app. WebMail Explanation Describe Webmail. Definition of a web browser.

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When Windows 10 can communicate with a domain controller, the network connection is automatically placed in the domain network location category.

In Windows 10, network location categories are used to determine the level of security and network sharing settings that are applied to a particular network connection. The three network location categories in Windows 10 are "Private", "Public", and "Domain".When a Windows 10 computer is joined to a domain and can communicate with the domain controller, the network connection is automatically identified as a "Domain" network location. This allows the computer to use domain-based security and policy settings, and enables access to network resources that are only available to computers in the domain.

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Sure, here's a basic C++ code for a recursive function that computes the sum of the first n integers in an array of at least n integers:

```
int recursiveSum(int arr[], int n) {
   // Base case
   if (n == 0) {
       return 0;
   }
   // Recursive case
   else {
       return arr[n-1] + recursiveSum(arr, n-1);
   }
}
```

In this function, we're using recursion to compute the sum of the first n integers in an array `arr[]` of at least n integers. The function takes two parameters: the array `arr[]` and the integer `n`.

First, we check for the base case, which is when `n` is equal to 0. In this case, we simply return 0 since there are no integers to sum.

Next, we have the recursive case, where we add the nth integer (`arr[n-1]`) to the sum of the first (n-1) integers (which is the result of the recursive call `recursiveSum(arr, n-1)`).

By repeatedly calling `recursiveSum` with smaller values of `n`, the function will eventually reach the base case and return the final sum of the first n integers in the array.

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The programming languages that require you to declare the data types of variables are called "strongly typed" or "statically typed" programming languages. In these languages, the type of a variable must be explicitly specified when the variable is declared, and this type usually cannot be changed during the program's execution. Some examples of statically typed programming languages include Java, C++, and C#.

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The purpose of components in software design is to promote modularity, reusability, and maintainability.

 Using public interfaces enhances encapsulation by providing a clear  way for components to interact with their clients and reduce coupling between components and their clients by defining a standardized and limited set of methods for communication.

Components are self-contained units of functionality that can be easily integrated with other components to build larger systems.

By offering a clear and stable means for components to engage with their customers, public interfaces improve encapsulation.This allows components to hide their internal implementation details, making them more flexible and easier to change without affecting other parts of the system.

By specifying a defined and limited range of communication channels, public interfaces decrease entanglement between components and their clients.. This reduces the dependencies between components and makes it easier to swap or update components without affecting the overall system.

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To conditionally raise a compile error and associate a custom error number with the error, you would error directive. The correct answer is D. error directive.

An error directive can be used to conditionally raise a compile error and associate a custom error number with the error. It is a special command that can be added to the code to provide information to the compiler about how to handle errors.

The error directive can also be used to suppress certain errors or warnings that may not be relevant to the particular code being compiled. By using custom error numbers, developers can more easily identify and troubleshoot errors that may occur during the development process.

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To solve the topological sorting problem using a DFS-based approach in C/C++, we can start by representing the directed acyclic graph (DAG) using an adjacency list. Then, we can perform a DFS traversal of the graph starting from any vertex, and use a stack to store the vertices in the order they are visited. Once the DFS traversal is complete, the vertices in the stack can be popped one by one to obtain a valid topological ordering of the graph.

Here's some sample code that implements this approach:

```
#include
using namespace std;

void dfs(vector adj[], int v, bool visited[], stack &s)

{
   visited[v] = true;
   for(int i=0; i adj[], int n)

   {
   bool visited[n];
   memset(visited, false, sizeof(visited));
   stack s;
   for(int i=0; i> n >> m;
   vector adj[n];
   for(int i=0; i> u >> v;
       adj[u].push_back(v);
   }
   topologicalSortDFS(adj, n);
   return 0;
}
```

To solve the topological sorting problem using a source-removal approach in C/C++, we can start by representing the DAG using an adjacency matrix. Then, we can repeatedly remove vertices with no incoming edges (i.e., vertices with all their incoming edges already removed) and add them to the topological ordering of the graph. This process is repeated until all vertices have been removed, or until it is determined that the graph contains cycles.

Here's some sample code that implements this approach:

```
#include
using namespace std;

void topologicalSort(vector> adj, int n) {
   vector inDegree(n, 0);
   for(int i=0; i q;
   for(int i=0; i order;
   while(!q.empty()) {
       int u = q.front();
       q.pop();
       order.push_back(u);
       for(int v=0; v> n >> m;
   vector> adj(n, vector(n, 0));
   for(int i=0; i> u >> v;
       adj[u][v] = 1;
   }
   topologicalSort(adj, n);
   return 0;
}
```

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For the first question, in an array-based implementation of the ADT list, the worst case performance of the remove method is O(n), as it may require shifting all elements after the removed element to fill the gap.

For the second question, in an array-based implementation of the ADT list, the best case performance of the contains method is O(1), as it can directly access the element at the specified index.

For the third question, the worst case performance of the contains method in an array-based implementation of the ADT list is O(n), as it may need to search through the entire array to find the element.

For the fourth question, the performance of the contains method when the entry is not in the list in an array-based implementation of the ADT list is also O(n), as it still needs to search through the entire array to determine the element is not present.

For the fifth question, an array provides access to its elements in sequential order, as they are stored sequentially in memory. Therefore, the answer is sequential.
Hi! Here are the answers to your questions:

23. In an array-based implementation of the ADT list, the worst-case performance of the remove method is:
  a. O(n)

24. In an array-based implementation of the ADT list, the best-case performance of the contains method is:
  a. O(1)

25. In an array-based implementation of the ADT list, the worst-case performance of the contains method is:
  a. O(n)

26. In an array-based implementation of the ADT list, the performance of the contains method when the entry is not in the list is:
  a. O(n)

27. An array provides access to its elements:
  b. random

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Increasing block size increases hit rate but also increases conflict misses and wastes space. Increasing associativity increases hit rate but also increases complexity and power consumption. Increasing cache size reduces miss rate but also increases access latency and power consumption.

When the block size is increased, more data is stored in each block, which increases the hit rate as more data can be retrieved with each memory access. However, a larger block size can also lead to more conflicts between data sets and increase the chance of unnecessary evictions, resulting in a higher miss rate.

When associativity is increased, more cache lines are available for each index, which increases the hit rate by reducing the chance of cache conflicts. However, higher associativity also requires more power and hardware complexity, which can increase access latency and power consumption.

When cache size is increased, more data can be stored in the cache, which reduces the miss rate and increases the hit rate. However, larger cache sizes also require more hardware resources and power, which can increase access latency and power consumption.

In short, the trade-offs of cache parameter optimization involve balancing hit rate, miss rate, power consumption, and hardware complexity. The optimal choice of parameters depends on the specific needs and constraints of the system.

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Home automation allows people to use a mobile device to control as well as automate a lot of functions and tasks inside their home via the use of a mobile device.

The examples of work that can be done with the use of  home automation via a mobile device include:

Smart Lighting: This is one that is used  to control as well as automate the lighting in a person's home, and it is one that is made up of turning lights on/off, as well as dimming or when one is adjusting the brightness of lights.

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regular expression identities are proved as follows a and b are proven and c is disproved.

a) To prove rt + s = s + rt, we need to show that these two regular expressions are equivalent.

Step 1: Consider rt + s, which means "r followed by t, or s."
Step 2: Consider s + rt, which means "s, or r followed by t."

Since the "+" operator in regular expressions represents a choice between the two expressions, the order of expressions does not matter. Therefore, rt + s = s + rt.

b) To prove (s + t)r = rs + rt, we need to show that these two regular expressions are equivalent.

Step 1: Consider (s + t)r, which means "either s or t, followed by r."
Step 2: Consider rs + rt, which means "r followed by s, or r followed by t."

These two expressions describe the same set of strings: r follows either s or t. Therefore, (s + t)r = rs + rt.

c) To prove (r + s)* = r* + s*, we need to show that these two regular expressions are equivalent.

Step 1: Consider (r + s)*, which means "zero or more occurrences of either r or s."
Step 2: Consider r* + s*, which means "zero or more occurrences of r, or zero or more occurrences of s."

Unfortunately, these two expressions are not equivalent. The expression (r + s)* can generate strings with both r and s, while r* + s* can only generate strings with either r or s, but not both.

In conclusion:
a) rt + s = s + rt (proven)
b) (s + t)r = rs + rt (proven)
c) (r + s)* = r* + s* (disproven)

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The aspect of modern computer architectures that make buffer overflows highly exploitable is C: "code and data being numerically encoded and stored in the same memory".

This allows an attacker to overwrite the data with malicious code and execute it, causing a buffer overflow. The other options, such as large instruction sets or little-endian format, do not directly contribute to the vulnerability of buffer overflows.

Therefore, the correct answer to this question is option C: "Code and Data are numerically encoded and stored in the same memory ".

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If the address-space size is bigger than the physical memory, the operating system will use a technique called virtual memory.

This means that parts of the address-space that are not currently being used will be temporarily moved to the hard drive, freeing up physical memory for the parts that are actively being used. However, accessing data from the hard drive is much slower than accessing it from physical memory, so there may be a performance hit if there is a lot of swapping between the two. Additionally, if the address-space size is excessively larger than the physical memory, the operating system may not be able to handle it and crash or become unstable.

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Due of their access to all weaponry, plasmids, and tonics, Subject Zeta from Bioshock 2 would probably prevail.

First-person shooter video game series called "Bioshock" was created by Irrational Games and released by 2K Games. Three core games, several additional games, and a mobile game make up the franchise. The main plot follows the player's character, a plane crash survivor, as they discover the underwater utopian city of Rapture, built by corporate tycoon Andrew Ryan.

They can control the environment and the creatures via plasmids, and tonics can boost their strength and fighting efficiency. Additionally, they have access to strong weaponry like the shotgun and grenade launcher, which would facilitate them to dispatch any of the monsters.

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The total number of messages saved between the client and server when using persistent HTTP without pipelining instead of non-persistent HTTP while downloading a webpage with three embedded images is 6 messages.

To calculate the total number of messages saved between the client and server when using persistent HTTP without pipelining instead of non-persistent HTTP while downloading a webpage with three embedded images, follow these steps:

1. Calculate messages for non-persistent HTTP:
  - TCP connection setup: 1 message
  - HTTP request for the webpage: 1 message
  - HTTP response for the webpage: 1 message
  - TCP connection teardown: 1 message
  Repeat the process for each embedded image (3 times):
  - 3 * (1 + 1 + 1 + 1) = 12 messages
  Total messages for non-persistent HTTP: 1 + 1 + 1 + 1 + 12 = 16 messages

2. Calculate messages for persistent HTTP without pipelining:
  - TCP connection setup: 1 message
  - HTTP request and response for the webpage: 1 + 1 = 2 messages
  - HTTP request and response for each embedded image (3 times): 3 * (1 + 1) = 6 messages
  - TCP connection teardown: 1 message
  Total messages for persistent HTTP without pipelining: 1 + 2 + 6 + 1 = 10 messages

3. Calculate the number of messages saved:
  Total messages saved = Non-persistent HTTP messages - Persistent HTTP messages
  Messages saved = 16 - 10 = 6 messages

So, the total number of messages saved between the client and server when using persistent HTTP without pipelining instead of non-persistent HTTP while downloading a webpage with three embedded images is 6 messages.

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Users, groups, apps, and different network configurations are all contained in a directory service like Microsoft Active Directory, which acts as a central network database.

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The term that best describes a centralized network database containing user account information is D. Directory Service.

Directory Services are a centralized database containing information about users, computers, and network resources. They allow for easy management of user accounts, authentication, and access control. Directory Services are commonly used in enterprise networks to manage user authentication and authorization, and they can be accessed by multiple applications and services.

Examples of Directory Services include Microsoft Active Directory, Novell eDirectory, and OpenLDAP.

D.) Directory Services are critical to maintaining a secure and efficient network, as they allow administrators to manage users and resources from a centralized location, ensuring that all users have the appropriate level of access to the network resources they need.

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A method cannot change the number of columns of an argument that is a two-dimensional array. A method cannot change the length of an array argument.

1. True, all elements of an array are of the same type.
2. False, arrays can contain strings as elements.
3. False, two-dimensional arrays can have varying numbers of rows and columns.
4. True, elements of different columns in a two-dimensional array can have different types.
5. False, a method can return a two-dimensional array.
6. False, a method can change the length of an array argument.
7. True, a method cannot change the number of columns of an argument that is a two-dimensional array.

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The given statement "when a program unit refers to other database objects, the program unit is considered dependent on that object." is true because If a program unit makes a reference to other database objects, it is regarded as being dependent on that object.

When a program unit, such as a function or a stored procedure, refers to other database objects, such as tables, views, or other program units, the program unit is considered dependent on those objects. Dependencies are important in database management systems because they help ensure the integrity of the database and allow changes to be made to the database in a controlled manner.

For example, if a table that is used by multiple program units needs to be modified, the database administrator can use the dependencies to identify all the program units that are affected by the change and make the necessary updates.

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An Entity Relationship Diagram (ERD) is a tool used to represent the data model of a system or application. It is a visual representation of the relationships between entities, or data objects, in the system.

ERDs are implementation-free and not dependent on the physical model. They can be used to communicate the structure of the data model to stakeholders without getting bogged down in technical details. This makes them a valuable tool for developers, analysts, and other team members involved in the design and planning of a system. Overall, ERDs can help ensure that everyone involved in a project has a clear understanding of the data model and how it relates to the overall system.

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The current processing status of a given sale can be determined by referencing the order status or order processing system.

The order status is a record of the current state of a sale, including whether the order has been received, processed, shipped, or delivered. It can also include information about any issues or delays with the order, such as backorders or returns. The order processing system is a software system used to manage the processing of orders, from the time they are received to the time they are fulfilled.

By referencing the order status or order processing system, a seller or customer can determine the current processing status of a sale, such as whether it has been shipped or is still in the processing stage. This information can be important for managing inventory, tracking orders, and providing customer service.

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To create a parameter query with the criterion for the InsuranceType field and the prompt "Enter Insurance Type," follow these steps:
1. Open your query in Design View in your database application (such as Microsoft Access).
2. Locate the InsuranceType field in one of the tables in the design grid.
3. In the Criteria row under the InsuranceType field, type the following: [Enter Insurance Type]
4. Save the query.

To run the query using the insurance type "dental":
1. Open the query you just saved.
2. A prompt box will appear asking you to "Enter Insurance Type."
3. Type "dental" (without quotes) in the text box and press Enter or click OK.
4. The query will display the results based on the "dental" insurance type criterion.

Remember, this answer assumes you are using a database application like Microsoft Access. The process may vary slightly depending on the application you're using.

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The provided script defines data points, calculates the cubic spline coefficients, defines x values for interpolation, performs the cubic spline interpolation, and plots the original data points and cubic spline interpolation.

How to perform cubic spline interpolation in MATLAB and what is the purpose of each step in the provided script?

Sure, here's a script that should do what you're looking for:

```matlab
% Define data points
datx = [0 0.5 2 4];
daty = [1 exp(0.5) exp(2) exp(4)];

% Calculate cubic spline coefficients
[a, b, c, d] = cubic_spline_coefs(datx, daty);

% Define x values for interpolation
x = 0:0.01:4;

% Calculate cubic spline interpolation
spline = zeros(size(x));
for i = 1:length(x)
   % Find which interval x(i) falls into
   j = find(datx <= x(i), 1, 'last');
   % Calculate interpolated value using cubic spline formula
   spline(i) = a(j) + b(j)*(x(i)-datx(j)) + c(j)*(x(i)-datx(j))^2 + d(j)*(x(i)-datx(j))^3;
end

% Plot original data points and cubic spline interpolation
plot(datx, daty, 'o', x, spline)
```

This script first defines the data points `datx` and `daty`, and then uses the `cubic_spline_coefs` function to calculate the coefficients necessary for cubic spline interpolation. It then defines a range of `x` values for interpolation and uses a for loop to calculate the interpolated values at each `x` point using the cubic spline formula. Finally, it plots the original data points and the cubic spline interpolation.

Note that I assumed you meant to include the term "cubic spline interpolation" twice in your question.

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The Composite design pattern and primitive objects statements 1 and 3 are true and 2 is false.

1)  The Composite design pattern is useful when the number of possible structures of interest is large.
True. The Composite design pattern is helpful when dealing with complex structures because it allows you to compose objects into tree structures to represent part-whole hierarchies, simplifying their management.

2) The Composite Design pattern will force the clients to treat individual objects and compositions of objects differently.
False. The Composite Design pattern allows clients to treat individual objects and compositions of objects uniformly, making it easier to interact with different types of objects without having to differentiate between them.

3)  One way to design adding primitive objects (e.g., a Line object in the example introduced during the lecture) to the composite is through the composite constructor.
True. You can add primitive objects, like a Line object, to the composite by including them in the constructor. This way, when the composite is created, the primitive objects are automatically included in the structure.

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The best option to provide enough security to protect resources while minimizing the need for users to write down their passwords is to increase the password length requirement (Option A).

This is because longer passwords are generally more secure than shorter passwords and can be easier to remember than complex passwords. By requiring longer passwords, users can create passwords that are more difficult to guess or crack, without necessarily having to use special characters or other complex requirements.

Disabling password complexity requirements (Option B) or disabling required passwords (Option C) can make it easier for users to remember their passwords, but it also makes it easier for unauthorized users to guess or crack passwords, which can lead to security breaches. These options do not provide enough security to protect resources.

Lengthening the time period between forced password changes (Option D) can also make it easier for users to remember their passwords, but it also increases the risk of compromised passwords. If an unauthorized user gains access to a user's password, they can use it for a longer period of time before the user is required to change it.

Therefore, increasing the password length requirement is the best option to provide enough security to protect resources while minimizing the need for users to write down their passwords. Option  is correct choice.

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Industry partners have validated the Workplace Readiness Credential (WRC), which is only available through SkillsUSA. The WRC is a nationally recognized credential that validates essential workplace skills in areas such as teamwork, communication, problem-solving, professionalism, and career development.

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The backup strategy that backs up all files from a computer's file system (regardless of whether the file's archive bit is set or not) and then marks them as backed up is the full backup strategy.

This strategy involves backing up all the files in the system at once, and then marking them as backed up. Differential and incremental backups, on the other hand, only backup files that have changed since the last backup.

In a differential backup, all files that have changed since the last full backup are backed up, while in an incremental backup, only the files that have changed since the last backup (whether full or incremental) are backed up. Copy backup, on the other hand, simply copies all files without marking them as backed up.

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To display c Mat(1,1) and c Mat(2,2) as a column using linear indexing, we can create an integer index array by concatenating the linear indices of c Mat(1,1) and c Mat(2,2) in a column-wise fashion.

The linear index of c Mat(1,1) is 1 (since it is the first element in the matrix) and the linear index of c Mat(2,2) is 4 (since it is the fourth element in the matrix). Therefore, the integer index array to display c Mat(1,1) and c Mat(2,2) as a column would be:

[1; 4]

This integer index array can be used to extract the corresponding elements from c Mat and display them in a column using the "display" function.
Using linear indexing to display cMat(1,1) and cMat(2,2) as a column, you will need to convert the 2D indices into 1D indices. For cMat, the conversion is as follows:

Linear index = (row - 1) * number of columns + column

For cMat(1,1):
Linear index = (1 - 1) * 2 + 1 = 1

For cMat(2,2):
Linear index = (2 - 1) * 2 + 2 = 4

So, the integer index array for displaying c Mat(1,1) and c Mat(2,2) as a column is [1, 4].

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A White Hat Hacker, also known as an Ethical Hacker or Penetration Tester, is an individual who examines an infrastructure to find existing vulnerabilities.

Their main objective is to identify security flaws and weaknesses within a network or system without causing harm. Instead of exploiting these vulnerabilities, they report their findings to the administrator or system owner.

his allows the administrator to further harden the network and implement necessary security measures to prevent potential cyberattacks.

By adopting a proactive approach, White Hat Hackers play a crucial role in improving the overall security posture of an organization and contribute to the development of more robust and resilient systems.

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The objectives of identifying possible root causes, collecting data, and confirming root causes through data analysis are typically found in the Analyze phase of DMAIC. so c is the correct option.

This phase is focused on using data analysis techniques to identify the root causes of a problem and gain a deeper understanding of the factors that contribute to it. During this phase, teams collect and analyze data to validate their hypotheses and develop a deeper understanding of the underlying causes of the problem.

DMAIC is an acronym that stands for Define, Measure, Analyze, Improve, and Control. It represents the five phases that make up the process: Define the problem, improvement activity, opportunity for improvement, the project goals, and customer (internal and external) requirement.

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