Postman Interview Questions and Answers for 2025

In Postman, dynamic variables are values that change during the course of an API testing workflow. There are several ways to handle dynamic variables in Postman, depending on the specific use case. 

One way to handle dynamic variables is to use the "Pre-request Script" feature to set a variable before the request is sent. To do this, click the "Pre-request Script" tab in the request editor and enter our script using JavaScript. We can then use the "pm.variables.set()" function to set a variable and its value. For example: 

pm.variables.set("token", "abc123"); 

This will set a variable called "token" to the value "abc123". We can then use the variable in any field of the request by enclosing the variable name in double curly braces, like this: {{token}}. 

Another way to handle dynamic variables is to use the "Tests" feature to set a variable after the response is received, based on the response data. To do this, click the "Tests" tab in the request editor and enter our script using JavaScript. We can then use the "pm.response.json()" function to parse the response body as JSON and access the data using dot notation or square bracket notation. For example: 

var jsonData = pm.response.json(); pm.variables.set("id", jsonData.id); 

This will set a variable called "id" to the value of the "id" field in the JSON response. We can then use the variable in any subsequent request by enclosing the variable name in double curly braces, like this: {{id}}. 

There are many other ways to handle dynamic variables in Postman, depending on our specific needs. For example, we can use the "pm.environment.set()" function to set an environment variable, which can be used across all requests in a particular environment. We can also use the "pm.globals.set()" function to set a global variable, which can be used across all requests in all environments. 

In addition to setting variables, we can also use the "pm.expect()" function in the "Tests" tab to assert the values of variables. This is useful for verifying that the expected value was set, and for debugging any issues that may arise. Overall, handling dynamic variables in Postman is a powerful way to automate and streamline our API testing workflow. By setting and asserting variables at different stages of the process, we can create more flexible and dynamic test scenarios that can adapt to changing data and condition. 

• First, we need to create a new authentication token.  
• Open Postman and click on the "Authentication" tab.  
• Then click on the "Create New Token" button.  
• Enter some information about the token, such as its name and expiration date.  
• Now, click on the "Create Token" button. 
• To authorize a request with OAuth2, we will need to first create an authentication token. We can do this by clicking the "OAuth2" tab and entering our credentials in the "OAuth2 Client ID" and "OAuth2 Client Secret" fields.  
• Once we have created the token, we can use it in the "Authorization" tab to send the request. We will then receive a token in the "Token" field. We can use this token to access the request again in the future.  
• To authorize a request with a paraphrase, we will need to enter our credentials in the "Authorization" tab and click the "Send" button. Once the request has been sent, we will receive a token in the "Token" field. We can use this token to access the request again in the future. 

Authentication means verifying someone's identity. We might do this with a username and password, or by using a token that is given to us (like a security badge). OAuth 2.0 is a way to authorize API requests without having to enter our user name and password. Instead, we use an authorization code that is sent to us in the form of a token.

To modify a request in a collection in Postman, follow these steps: 

• Open the Postman app and navigate to the Collections tab in the left sidebar. 
• Locate the collection that contains the request we want to modify and click on it to expand the list of requests. 
• Click on the request we want to modify to open it in the request editor. 
• In the request editor, we can modify any of the following elements of the request: 
• Method: Use the dropdown menu to select the HTTP method (e.g., GET, POST, PUT, DELETE) for the request. 
• URL: Enter the URL for the request in the "Enter request URL" field. We can also use variables in the URL to make the request more flexible and reusable. 
• Headers: Click on the "Headers" tab to view and modify the request headers. To add a new header, click the "Add Header" button and enter the key and value for the header. 
• Body: Click on the "Body" tab to view and modify the request body. Depending on the method and content type, we may be able to enter form data, raw data, or a file in the body of the request. 
• Pre-request Script: Click on the "Pre-request Script" tab to view and modify any scripts that run before the request is sent. We can use pre-request scripts to set up variables or perform other tasks that need to be done before the request is sent. 
• Tests: Click on the "Tests" tab to view and modify any tests that are run after the request is sent. We can use tests to verify that the response from the server meets certain criteria, such as having a certain status code or containing specific data. 
• After we have made the necessary modifications to the request, click the "Send" button to send the modified request to the server and view the response. 
• If we want to save our changes, click the "Save" button in the top menu. 

Also, we can modify the properties of a collection itself, such as its name, description, and environment. To do this, click on the collection in the Collections tab and then click the "Edit" button in the top menu. 

Modifying requests in a collection in Postman can be a useful way to update or customize API workflow. Whether we are making changes to the request itself or modifying the tests and scripts associated with it, Postman provides a number of tools and features to help we work more efficiently and effectively with our APIs. 

When designing and implementing a collection for testing a RESTful API, one should consider the following steps:

• Understand API's Functionality and Requirements: This should include understanding the API's endpoint structure, request-response patterns, and any security or authentication mechanisms in place.
• Define the Test Cases: Identify the different scenarios that the API should be tested for, including positive and negative test cases, edge cases, and error handling.
• Create the Requests and Associated Elements: Use Postman to create requests and associated elements, such as headers and environment variables, needed to test the API. Organize the requests into folders based on API's endpoint structure and the test cases defined.
• Implement Test Scripts: Use Postman's built-in test scripting capabilities to validate the API's responses and check for specific conditions, such as status codes and response data.
• Document the Collection: Provide clear and detailed documentation for the collection, including information on the API's functionality, the test cases covered, and any important notes or considerations.
• To ensure the collection is maintainable and scalable, one should consider the following strategies:
• Use Environment Variables: This allows for easy modification of commonly used variables, such as API endpoint URLs and authentication credentials, without having to update the requests individually.
• Use Data Files: Instead of hard-coding data in the requests, use data files to feed data into the requests. This allows for easy modification and maintenance of test data.
• Use Modularization: Break down the collection into smaller, modular sections, such as individual requests or groups of requests for specific endpoint or functionality. This allows for easier management and maintenance of the collection.
• Use Version Control: Use version control software, such as Git, to track changes to the collection and easily roll back to previous versions if necessary.
• Use Collaboration Tools: Use Postman's collaboration features, such as sharing and commenting, to allow multiple team members to work on the collection simultaneously and to easily share feedback and ideas.

To share a collection in Postman, we need to click on the collection we want to share, then hit the "Share" button. In the "Share Collection" window that appears, we can choose to share the collection via a link, by email, or by generating a code snippet.

To import a collection in Postman from a link, we will need to follow these steps: 

• Open Postman. 
• Click on the "Import" button in the top menu, or use the keyboard shortcut Ctrl + O (on Windows) or Command + O (on Mac). 
• In the Import modal window that appears, click on the "Import from Link" tab. 
• Paste the link to the collection we want to import in the "Link" field. 
• If the link is to a file that is not in the Postman Collection format (e.g., a JSON file), we will need to select the appropriate format from the "Format" dropdown menu. 
• Click the "Import" button to begin the import process. 
• If the link requires authentication (e.g., a private GitHub repository), we will be prompted to enter our credentials. 
• Once the collection has been successfully imported, it will appear in the Collections tab in the left sidebar. 
• We have now imported a collection from a link in Postman. 
• Also, we can also import a collection in Postman from a file stored on our local machine. To do this, simply click on the "Import" button and select the "Import File" tab. Then, select the file we want to import and click the "Import" button. 
• Importing a collection in Postman can be a useful way to share API requests with our team or to reuse a set of requests that we have previously saved. Collections can also be used to organize our requests and make it easier to find the ones we need. 
• One of the benefits of using collections in Postman is that they allow to group related requests together and organize them in a logical way. For example, we might have one collection for each API that we are working with, or we might have a collection for each project or feature that we are developing. 
• Collections can also be used to store environment variables and test scripts. Environment variables allow to store values that can be used in multiple requests, such as API keys or base URLs. Test scripts, on the other hand, allow to automatically test the responses that we receive from an API to ensure that it is functioning correctly. 
• To create a new collection in Postman, click on the "New Collection" button in the left sidebar. Then, give our collection a name and optional description and click the "Create" button. We can then start adding requests to our collection by clicking on the "Add Request" button in the top menu. 

The process of incorporating a collection from a code snippet within the Postman platform commences with the initiation of Postman application. Once the program is started, we must select the "import" button, which is located in the upper left corner of the application interface. This action will initiate a new window, where we will be prompted to choose the file or code snippet that we wish to import. 

Subsequently, the user must select the "code" option from the import window. This selection enables us to directly paste or enter their code snippet into the import window. Additionally, we will be prompted to specify the type of code that is being imported. In this scenario, we must select the "Postman Collection" option, as to incorporate a Postman collection. 

After selecting the "Postman Collection" option, we will be prompted to assign a name to their collection. This name will serve as an identifier for the collection within the Postman application. It is imperative to select a name that is both descriptive and easily remembered as this will facilitate the process of locating and accessing the collection at a later stage. 

Upon assigning a name to the collection, we will be prompted to select the environment in which the collection will be imported. Within the Postman platform, an environment refers to a set of variables and values that are utilized to define the context in which requests are made. For instance, an environment may define the base URL for an API or the authentication credentials required for access. By selecting the appropriate environment, we can ensure that the requests will function correctly upon import into Postman. 

After selecting the environment, we will be prompted to review import settings. This step is crucial as it allows us to confirm the accuracy of the settings and make necessary adjustments before proceeding with the import process. 

Finally, we can activate the "import" button to incorporate the collection into the Postman application. The collection can be located on the left-hand side of the Postman application, under the "Collections" tab. We can interact with requests and responses, run tests, inspect them, and utilize them in various ways.

To view network logs in Postman, follow these steps:

• Click the "Network" tab in the bottom pane of the Postman app.
• Make a request in Postman.
• The network logs for the request will be displayed in the "Network" tab.
• The network logs will show the request and response details, including the request URL, method, headers, and body, as well as the response status, headers, and body. We can use these logs to help debug network issues and understand the communication between our client and the server.

By default, Postman sets a timeout of 60000 milliseconds (60 seconds) for requests. We can change this timeout by following these steps:

• Click the "Settings" button in the top right corner of the Postman app. 
• In the "General" tab, scroll down to the "Timeout" section. 
• Enter the desired timeout value in milliseconds in the "Request timeout (ms)" field. 
• Click the "Save" button to save the changes. 
• The custom timeout will apply to all requests made in Postman until it is changed again. 

One of the important features of Postman is its ability to automatically follow redirects. When a request is made to an API that returns a redirect response (HTTP status code 301 or 302), Postman will automatically follow the redirect and send a request to the URL specified in the "Location" header of the response. This can be a convenient feature, as it saves you from having to manually follow the redirect and send a separate request to the new URL. 

However, there may be cases where you don't want Postman to automatically follow redirects. For example, you might want to inspect the redirect response and verify that it is returning the expected "Location" header before sending a request to the new URL. In these cases, it is possible to disable automatic follow redirects in Postman. To enable or disable automatic follow redirects in Postman, you need to access the "Settings" dialog. Here's how: 

• Open Postman and click on the "File" menu in the top-left corner of the window. 
• From the drop-down menu, select "Settings." 
• In the "Settings" dialog, select the "General" tab. 
• Under the "General" tab, you'll see a toggle switch labeled "Follow redirects." 
• To enable automatic follow redirects, turn the toggle switch on. To disable automatic follow redirects, turn the toggle switch off. 
• Once you've made your selection, click the "Save" button to save your changes. 

It's that simple! From now on, Postman will either automatically follow redirects (if you enabled the feature) or not follow redirects (if you disabled the feature) for all requests you make. 

If you have disabled automatic follow redirects, you can still manually follow a redirect by inspecting the response and sending a separate request to the URL specified in the "Location" header. To do this, simply copy the URL from the "Location" header and paste it into the "URL" field in a new request. 

HTTP authentication allows a server to verify the identity of a client making a request. There are several different types of HTTP authentication, including basic authentication, digest authentication, and bearer token authentication. 

To use HTTP authentication in Postman, follow these steps: 

• Select the request we want to authenticate in the Postman app. 
• Click the "Authorization" tab in the request editor. 
• Select the type of authentication we want to use from the "Type" dropdown menu. 
• If we are using basic or digest authentication, enter the username and password in the appropriate fields. 
• If we are using bearer token authentication, enter the token in the "Token" field. 
• Click the "Send" button to send the request. 
• Example: To use basic authentication with the username "user" and password "pass" in a Postman request, we would select "Basic Auth" from the "Type" dropdown menu, enter "user" in the "Username" field, and enter "pass" in the "Password" field. 

Postman Cloud is a cloud-based version of the Postman API development platform that allows users to share and collaborate on API development projects. It includes features such as team collaboration, version control, and integrations with popular API gateways and development tools. 

Some of the key benefits of using Postman Cloud include: 

• Collaboration: Postman Cloud allows teams to work together on API development projects, with features such as team workspaces, shared collections, and real-time collaboration. 
• Version Control: Postman Cloud includes version control for API collections, allowing users to track changes and roll back to previous versions if needed. 
• Integrations: Postman Cloud integrates with popular API gateways and development tools such as AWS API Gateway, Azure API Management, and Jenkins. 
• Scalability: Postman Cloud is designed to scale to meet the needs of large teams and enterprise-level API development projects. 

Postman Cloud is available on a subscription basis, with various pricing plans to meet the needs of different teams and organizations. Users can sign up for a free Postman Cloud account, which includes access to basic features such as team collaboration and integrations, or upgrade to a paid plan for additional features and support. 

Postman collections allow to group related requests together and run them as a suite. This can be useful for organizing and automating API tests. 

To create a new collection in Postman, follow these steps: 

• Click the "Collections" tab on the left side of the Postman app. 
• Click the "Create Collection" button. 
• Give the collection a name and an optional description. 
• Click the "Create" button to create the collection. 

To add a request to a collection, we need to click on "Add to Collection" button in the request editor and select the collection we want to add it to. 

To run a collection in Postman, we need to hit the "Runner" button in the top right corner of the app and select the collection we want to run. 

Postman console is a JavaScript console that allows to run code and see the output in the Postman app. This can be useful for debugging and testing code that interacts with APIs. 

To access Postman console, we need to click on the "Console" tab in the bottom pane of the Postman app. 

To run code in the Postman console, enter it in the input field and press the "Enter" key. The output will be displayed below the input field. 

Example: We might use the Postman console to test a JavaScript function that makes an API request and processes the response. We could enter the function in the console and see the output to ensure that it is working as expected. 

Postman scripts are JavaScript code that can be run before or after a request is sent. This can be useful for things like setting up test data, manipulating request or response data, or making assertions about the response.

To use a script in Postman, click the "Tests" tab in the request editor and enter our script in the input field. We can use the special "pm" object to access request and response data and perform actions like setting variables or making assertions.

Example: We might use a script to make an assertion that the response status code is 200, like this: `

pm.test("Status code is 200", () => pm.

To integrate Slack with Postman, we need to perform the following steps:

1. We need to make sure we have a Slack account and a Postman account. If we don't have them already, we need to sign up for both.
2. In Postman, we need to go to the Integrations tab in the Settings section.
3. From the list of available integrations, select Slack.
4. Click the "Add to Slack" button.
5. We will be redirected to a page where we need to authorize the integration. Click on the "Authorize" button to proceed.
6. Once the integration is authorized, we will be redirected back to the Integrations tab in Postman.
7. In the Slack integration settings, we can customize the integration by specifying the Slack channel where we want to receive notifications, as well as the types of notifications we want to receive.
8. Click the "Save" button to save our changes.
9. i. Now, we have successfully integrated Slack with Postman. We should now receive notifications in our specified Slack channel whenever certain events occur in Postman (e.g., a test run has completed).

To use Postman environments and variables in Jenkins, we can pass the relevant environment or variable files as arguments to the Newman command in our Jenkins pipeline. For example, we might use the following syntax to pass an environment file and a global variable file to Newman: 

newman run collection.json -e environment.json -g global_variables.json 

To use Postman environments and variables in Jenkins, we can pass the relevant environment or variable files as arguments to the Newman command in our Jenkins pipeline. For example, we might use the following syntax to pass an environment file and a global variable file to Newman: 

newman run collection.json -e environment.json -g global_variables.json 

The -e flag is used to specify an environment file, and the -g flag is used to specify a global variable file. In this example, collection.json is the collection file, environment.json is the environment file, and global_variables.json is the global variable file. An environment file in Postman is a JSON file that contains a set of key-value pairs.  

These key-value pairs can be used to set variables in Postman, such as the base URL for an API. By passing an environment file to Newman, we can easily switch between different environments, such as a development environment and a production environment, without having to manually change the variables in the collection.A global variable file in Postman is also a JSON file that contains a set of key-value pairs.  

These key-value pairs can be used to set global variables that can be accessed by all requests in a collection. By passing a global variable file to Newman, we can easily switch between different sets of global variables without having to manually change them in the collection. 

In addition to passing environment and variable files to Newman, we can also pass other arguments to the command. For example, we can use the -r flag to specify a reporters, which is used to generate test results in a specific format such as HTML or JSON. We can also use the -n flag to specify the number of iterations to run the collection. 

When using Postman and Newman in Jenkins, it is important to keep in mind that the Jenkins pipeline should be configured to run the Newman command at the appropriate time in the CI process. For example, the pipeline should be configured to run the Newman command after the code has been built and before it is deployed to production. Additionally, it is important to ensure that the environment and variable files are properly configured and stored in a secure location that is accessible to Jenkins. 

We can also use the Jenkins EnvInject plugin to set environment variables in our Jenkins pipeline, which can then be accessed by Newman as part of the build process.

It's no surprise that this one pops up often in API testing interview questions on Postman.  

One of the useful features of Postman is the ability to send requests to multiple environments or servers. This can be useful for testing purposes, as it allows you to easily switch between different environments, such as development, staging, and production, or test against different servers or APIs. In this tutorial, we will cover the following: 

• Setting up environments in Postman 
• Using environment variables in requests 
• Sending requests to different environments or servers 

Setting up Environments in Postman

To set up environments in Postman, go to the "Environments" tab in the top right corner of the window and click the "Manage Environments" button. This will open the environments manager, where we can create and manage multiple environments. 

To create a new environment, click the "Add" button and enter a name for the environment. Then, enter the variable names and values for the environment. For example, we might have a variable called "base_url" that represents the root URL of our API. 

We can also import and export environments using the "Import" and "Export" buttons. This can be useful if we want to share our environments with other team members or use the same environments across different machines. 

Using Environment Variables in Requests

Once we have set up our environments, we can use environment variables in our requests. To do this, use the double curly brace syntax, like this: {{variable_name}}. For example, if we have a base_url variable set up in our environment, we can use it in the URL of our request like this: 

{{base_url}}/users 

We can also use environment variables in the request body, headers, and other parts of the request. This can be useful if we want to reuse certain values across multiple requests or switch between different values depending on the environment. 

Sending Requests to Different Environments or Servers

To send requests to different environments or servers, we need to select the appropriate environment from the dropdown list in the top right corner of the window. This will apply the environment variables to all requests in the current collection or workspace. 

We can also switch between environments using the Postman API. This can be useful if we want to automate the process of switching between environments, or if we want to use Postman in a continuous integration or deployment workflow. 

To switch environments using the API, we can use the following request: 

POST /api/environments/{environment_id}/activate 

Replace {environment_id} with the ID of the environment we want to activate. We can find the environment ID in the environments manager, or by using the GET /api/environments endpoint to list all environments. 

In addition to switching between environments, we can also use Postman to send requests to different servers or APIs. To do this, simply enter the desired URL in the request editor and send the request as usual. We can use environment variables in the URL to make it easier to switch between different servers or APIs. 

In summary, Postman allows you to easily send requests to multiple environments or servers by using environment variables and the ability to switch between environments. This can be useful for testing purposes, as it allows you to easily switch between different environments or test against different servers or APIs. 

A mock server is a tool that can be used for testing and development purposes. It allows to simulate the behaviour of a real server without actually setting it up.

1. To make something happen, we first need to have some things in place. For example, we need to have a pencil and paper to write down our ideas, or a wooden block to build with.
2. Open the Postman app and click on the "Mock Server" button in the top right corner of the window. This will open a new window with a "Mock Server" collection. In this collection, we can create requests and collections. We can also find useful information about Postman in the Postman documentation.
3. When we open the Postman app, the Mock Server button is located in the top right corner. If we click on it, a dropdown menu will appear. We can choose to create a new mock server or access an existing one.
4. To create a new mock server, we will need to click on the "Create a New Mock Server" button. This will open a new window.
5. Now, click on the "Create a New Mock Server" button on the left. We will be able to configure our server here.
6. We will enter a name for our mock server and choose a collection that we want to associate with it.
7. In the "Name" field, type a name for our mock server. This name will be displayed in the list of mock servers in the Postman app, so make sure its name is descriptive and easy to remember.
8. First, choose the collection of requests and responses that we want the mock server to generate. This will include the requests we make and the responses the server sends back. If we don't have a collection already, we can create one by clicking on the "Create New" button.
9. i. In this step, we will create a new server. First, we will need to go to the "Create Server" button.
10. To create a mock server, enter a name for our server and select a collection. Then, click the "Create Server" button to create the server.
11. Once mock server is created and a new window will open with the URL of the mock server.
12. To use the mock server, we will need to create a new window and copy the URL. This URL will be the endpoint we use to send requests to the mock server.
13. In this step, we will use a URL to send requests to the mock server. The mock server will return the responses that we have configured in our collection.
14. To test the mock server, we can send a request to the mock server URL. The mock server will respond with the response we have configured in our collection for the request.
15. We can change the responses that the mock server sends back. We can do this by clicking on the "Edit" button next to the response in the collection.
16. To make our mock server respond in a way that we prefer, we can edit the response by clicking on the "Edit" button next to it. This will open a new window where we can change the body, headers, and other settings.
17. To stop the mock server, click on the "Stop" button in the window that shows the mock server. This will stop the mock server and it will not be available anymore.

Continuous integration is a way of working that helps developers merge their code changes into a shared repository often, and then runs automated tests to make sure that the changes don't cause any problems.

The postman tool can be integrated with CI platforms like Jenkins so that API tests are automatically run during the build process. This can help ensure that API is properly tested and any issues detected are fixed before it is deployed to production. 

To set up Postman integration with Jenkins, the following steps can be followed: 

• To use the Newman command-line tool with Jenkins, we need to install it on the Jenkins server. Newman is a tool that makes it easy to run Postman collections from the command line. 
• Create a "Postman Collection" that contains all the API tests that should be run as part of the Continuous Integration process. 
• The Newman command-line tool can export the Postman collection as a JSON file, which can be used to run tests in Jenkins. 
• Jenkins is a software that helps we create projects and settings for building software. We can use this software to create our own projects, or to customize projects that someone else has created. 
• To run the Newman command-line tool and execute the API tests, we'll need to add a "Execute shell" build step to our project configuration. 
• To run the tests, type the Newman command in the "Execute shell" build step. The command in this step is the name of the Postman collection that we exported earlier. If we want to set environment variables for the tests, we can also include a file called environment.json in this step. 

The project configuration is saved and the build is started. This will run the API tests using Newman and show the results in Jenkins. 

Postman can be integrated with Jenkins to customize how the tests are run. We can specify the location of Newman and collection.json files, set environment variables for the tests, and configure Jenkins to fail if any tests fail. 

Postman has a built-in Jenkins integration that can automatically run API tests whenever a collection is saved or published. This can help we set up a more automated CI process where tests are run every time code changes are made. 

Integrating Postman with CI platforms like Jenkins can help automate API testing process, making sure that the API is thoroughly tested before it is deployed to production. By following the steps outlined above, developers can set up Postman integration with Jenkins and have the tests run automatically as part of the CI process. 

Postman is a tool that can be used to test the performance of an API. It provides different features to help developers simulate different types of network conditions, such as high latency or low bandwidth.  

To simulate different network conditions in Postman, we need to use Postman proxy. The Postman proxy allows to intercept HTTP requests and responses, modify them, and then forward them to their intended destination. This way, we can simulate different network conditions by adding latency or limiting the bandwidth of the requests and responses. 

To use the Postman proxy, we need to open the Postman settings and enable the proxy. In the proxy settings, we can specify the port the proxy will listen on. 

The Postman proxy can help us simulate different types of network conditions by adding "delay" and "download" or "upload" rules to our requests. These rules allow to add a delay to the requests and responses that pass through the proxy, and to limit the bandwidth of the requests and responses. To add a delay rule, go to the Postman proxy settings and select "Delay" from the dropdown menu. We can then specify the amount of time that we want to wait before responding to a request, as well as any conditions that should trigger the delay (e.g., only delay requests to a specific host). 

To add a rule that limits how much data people can download or upload, go to the Postman proxy settings and select "Download" or "Upload" from the dropdown menu. We can then choose the maximum download or upload rate we want to apply, and any conditions that should trigger the bandwidth limit (like only allowing requests from a specific host). 

To test the performance of our API under different network conditions, we can use the Postman proxy. To do this, we will need to configure our API client to use the Postman proxy as its HTTP proxy. For example, if we are using the Postman app to test our API, we can set the "HTTP Proxy" field in the "General" tab of the request editor to "http://127.0.0.1: {{proxy-port}}", where "{{proxy-port}}" is the port that we specified in the Postman proxy settings. 

To make our API work well even when the network is slow or congested, we can follow some tips to improve its performance. Caching helps the API make fewer requests in order to get the information that we need. A load balancer is a computer system that helps to distribute incoming requests across multiple servers. This can help to prevent any single server from becoming overloaded.  

A content delivery network (CDN) helps to serve static assets, such as images and CSS files, from a location that is closer to the user. By compressing the data, we can make it easier to send over the network. With asynchronous processing, we can offload tasks from our computer that take a long time to complete.

To debug an issue with an API request, we will need to examine API's documentation or speak with the API's developer to understand the specific requirements for authenticating requests, handling errors, and so on. 

We can also use tools like Charles or Fiddler to capture HTTP traffic between the client and the server and inspect the request and response data in detail. 

We can use debugging statements such as console.log and the debugger keyword to print values to the console and pause the execution of the script, and we can also examine the server logs to see if there are any error messages or other useful information that can help identify the root cause of the issue. 

Finally, we can use Postman's "Environment" feature to switch between different environments and compare the results. The steps that could be taken to try and fix an issue with an API depend on the nature of the issue. In some cases, it might be helpful to examine the server logs to see if there are any errors or other clues about what is causing the issue. Additionally, it can be helpful to verify that the same version of the API is being used in each environment, to examine the environment variables and system configuration, to debug issues with API integration, and to verify that the API is being called with the correct parameters and payloads. 

To debug an issue where our API is returning a "500 Internal Server Error" response, we can use Postman to gather more information about the error. This may help we figure out the root cause. There may be information about the problem on the API's documentation or the API's developer may be able to help we figure out what is wrong. In the Postman "Pretty" or "Raw" view, we can see the details of the request and response. If we notice anything strange, it might help to understand what caused the error.  

In the "Test Results" view, we can see how the response data was processed, any errors that occurred, and what kind of data was returned. To see what happened when an error occurred, we can use the "Console" view in Postman. This view will show us any log output and any error messages that may have been generated. To find out why the web server is giving me a "500 Internal Server Error" message, I will need to check the environment around it. This could mean things like whether there are enough resources available, or if the settings are correct.  

By looking at the environment, I might be able to find out what is causing the problem. If we are having trouble using the API, we can try using a different client to see if the problem still occurs. We are checking to see if there are any problems with the data we sent. If there are, we will be able to figure out what went wrong. 

Debugging an issue where our API is returning a "500 Internal Server Error" response can be difficult, but by examining the available documentation, inspecting the request and response data in Postman, using the "Test Results" and "Console" views, and testing the API with different clients and request data, we can often find the root cause of the issue and fix it. 

After we have sent the request, we will see a response in the "Response" window. The response will contain information about the response code, the bytes sent, and the time it took to send the request. To create a new email, go to the "New" tab in Postman. To create a new document, we can either request one from the server or create one ourself. Enter the name of the request we want to make.

To POST data to the server, choose the HTTP method, like POST. In the "Enter request URL" field, enter the URL of the website we want to send the request to. In the "Header" section, we can add any extra information that we want to include with our request. To add data to a document, we can use the "form-data" option. This lets us input information using a form. To upload a file from our computer, we need to click the "Choose Files" button and select the file we want to upload. In the "Key" field, enter the name of the form field that will contain the file (e.g. "file").

We can use the "send" button to send a request to someone. We can use Postman to automate API testing by using the API's built-in testing tools. To run automated tests of our APIs using Postman, we can use the Collection Runner. This tool lets us run a series of API requests from a Postman collection, and then view and analyze the results.

First, we will need to create a GraphQL server. This will be where our app will store its data. Next, we should create a Postman environment for testing our GraphQL queries. Finally, we need to configure Postman to use our GraphQL server.

In the "Body" tab, select the "GraphQL" option. To use GraphQL with Postman, we'll need to set up a URL that serves as the entry point for our GraphQL server. We can do this by running a GraphQL server and exposing it at a specific URL. Click the "Send" button to send the request to the GraphQL endpoint.

The server will execute the query or mutation and return the result in the "Response" tab. In Postman, select the "POST" method and enter our GraphQL endpoint URL in the "URL" field. We can then enter our GraphQL query or mutation in the "Query" field.

To test a REST API with Postman, we need to do the following:

1. Install and set up Postman on our computer.
2. Import the API collection or environment that we want to use.
3. Set the request method (e.g., GET, POST, PUT, DELETE) and enter the API endpoint URL in the address bar.
4. Optionally, we can add headers, parameters, and a request body to our API request.
5. Click the "Send" button to execute the API request and view the response.

Here is a more detailed explanation of each step:

1. Install and set up Postman: First, download and install the latest version of Postman from the official website (https://www.postman.com/downloads/). Once Postman is installed, launch the app and sign in to our account (or create a new account if we don't have one).
2. Import API Collection or Environment: Postman allows to import API collections and environments from a file or URL. An API collection is a group of related API requests, while an environment is a set of predefined variables that we can use in our API requests. To import an API collection or environment, click the "Import" button in the top navigation bar, and then select the file or enter the URL.
3. Set the Request Method and Enter the API Endpoint URL: In the "Method" dropdown, select the HTTP method (e.g., GET, POST, PUT, DELETE) that we want to use for our API request. Then, enter the API endpoint URL in the address bar.
4. Add Headers, Parameters, and a Request Body: Depending on the API, we may need to add additional information to our request, such as headers, query parameters, or a request body. To add headers, click the "Headers" tab and enter the key-value pairs. To add query parameters, click the "Params" tab and enter the key-value pairs. To add a request body, click the "Body" tab and enter the payload in the appropriate format (e.g., form data, raw JSON).
5. Execute API Request and View the Response: Once we have configured our API request, click the "Send" button to execute it. Postman will send the request to the API server and display the response in the "Response" panel. We can view the response status, headers, and body, as well as any errors that may have occurred

To debug a REST API with Postman, we can use the following techniques:

1. Use the "Test" tab to write test scripts that validate the API response.
2. Use the "Pre-request Script" tab to write scripts that modify the API request before it is sent.
3. Use the "Console" tab to view log messages and debug information.
4. Use the "History" tab to view the history of API requests and responses.

Here is a more detailed explanation of each technique:

Use the "Test" tab: The "Test" tab in Postman allows to write test scripts that validate the API response. We can use the Postman API to access the response data and perform assertions on it. For example, we can check the response status, headers.