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Magnitia’s Web services Testing Training will provide you complete knowledge on Web services, API and their functionality. This API Testing course enables you to develop robust automation Framework for API’s test cases and how to test Web services and REST API using SoapUI& Rest Assured. Learn API Testing (POSTMAN, REST ASSURED, BDD-Cucumber, BDD-Karate, CI-CT Pipeline & Microservices Test Automation) by P.Nageswara Rao at Magnitia. Web Services is the mechanism or media used to communicate between two different technology applications / machines which will exchange the data (Request / Response) irrespective of their internal architecture and technology. By the end of this course you will understand the importance and procedure of mocking the web services, how to generate neat reports for execution results and will get clear picture on API Testing. Aspirants who are interested can attend our API Testing training in Hyderabad, or you can take our API Testing online training.

Education

Webservices API
Web Services Concepts
 What are Web services?
 SOAP Protocol Explanation
 Advantages and Disadvantages of SOAP
 REST Protocol Explanation
 Advantages and Disadvantages of REST
 Challenges in APIWebservices testing
REST API TESTING
 REST API Basics and Terminology
 Introduction to REST API
 Understanding how REST API architecture works
 What is Base URL URI and Resources in REST&API?
 Understanding GET, POST, PUT, DELETE etc.
 What are headers and cookies in rest request?
 Understanding how to create request
 Detail explanation about response
 Detail explanation about Status codes 1XX, 2XX, 3XX etc.
JSON Overview
 JSON creation explanation
 JSON supported data types
 JSON reading and storing in Java classes
 Automation Utilities for Parsing the Json
 Files using GSONJACKSON
APIWebservices manual test through POST MAN Tool:
 Introduction of Postman tool
 Installation of postman tool
 Difference between Standalone and Chrome extension
 Execution of requests and Validation responses with POSTMAN
APIWebservices Automation through Rest assured Tool
 Introduction of Rest Assured tool
 Difference between HTTP client and Rest Assured Tool
 Rest Assured tool integration with JAVA project
 Automation of GET, POST, PUT and DELETE requests
 Examples on validating response headers and status codes
 Optimizing the scripts by centralizing the data

Jenkins Integration with Webservices project
 Overview of CI Tools
 Introduction about Jenkins Tool
 Introduction about Continuous integration
 Installing Jenkins tool
 Creating Jobs in Jenkins tool
 Scheduling Jobs for timely Execution
 Integration with Webservice Scripts and Running Scripts
 Configure mail notification in Jenkins
Automation Reports and Logs
 Importance of Reporting in Test automation
 Different types of Reports and Logs
 Creation of HTML Report using Test NG
 Print Logs using Log4j
 Advanced HTML reports creation using Extent report.
Version Control Tools
 Overview Version Control Tools
 Importance of Version Control Tool
 Git Tool Setup in Machine
 Hosting Automation project in Git Hub
 Integration of Git Hub Project with Jenkins
304 & 305, Paradigm SSS Square, Kothaguda X Roads,
Opp toAMB Cinemas, Hyderabad - 500 081.
+91 6309 16 16 16 | info@magnitia.com | www.magnitia.com

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AnanthReddy38

In the realm of modern cloud applications, Web APIs (Application Programming Interfaces) serve as the backbone, enabling communication and interaction between various components. For testing these web and mobile applications, Selenium stands out as a prominent test automation tool. But a common question arises: “Can Selenium be used for API testing?” In this article, we delve into the possibilities and limitations of utilizing Selenium for API testing. Can You Use Selenium for API Testing? In a nutshell, the quick answer is no. API testing possesses unique requirements and intricacies, and there are dedicated tools designed explicitly for this purpose, such as RestAssured, JMeter, and BlazeMeter. These tools were meticulously crafted with the specific demands of API testing and automation in mind, making them the optimal choice for such tasks. It’s important to note that Selenium’s primary function is browser automation, as the tool’s website itself states, “Selenium automates browsers.” While the term “WebDriver” is somewhat ambiguous, encompassing both APIs and front-end operations, its primary focus remains on browser automation. The tendency to default to Selenium for API testing often stems from a lack of familiarity with alternative tools. Education and training can guide testing teams in the right direction, helping them avoid unnecessary testing complexities. Goals of API Automation Testing Before understanding why Selenium is unsuitable for API testing, it’s crucial to grasp the fundamental objectives of API automation testing. These include: Verification of API Functionality: Ensuring that various APIs within a software system are functioning correctly. Data Examination: Analyzing data returned by an API, including elements like HTTP response codes and response bodies to validate correctness across various inputs. Header and Parameter Manipulation: Modifying HTTP request headers and parameters and validating the results. Parameter Variation: Testing the API with a range of valid and invalid parameter values in POST requests. HTTP Method Testing: Calling different HTTP methods (e.g., GET, PUT, POST, DELETE) on a given API URL. Edge Case Validation: Confirming that an API responds correctly even in edge-case scenarios. Rapid Testing: Running tests frequently and swiftly, either manually or through continuous integration pipelines to ensure product quality. Efficient Debugging: Minimizing debugging efforts by identifying issues closer to their root causes. Early Testing: Conducting tests at an early development stage, even when the UI is unavailable. Automated Documentation: Automatically generating API documentation from API specifications. What Makes Selenium Unsuitable for API Testing? Several substantial shortcomings make Selenium an unsuitable choice for API testing: Website-Centric Focus: Selenium excels in testing complete web pages, not individual APIs.

Selenium API Testing.pdf

AnanthReddy38

In today’s rapidly evolving software landscape, organizations are making the shift towards microservices architecture for its promise of agility, scalability, and faster time-to-market. This transition, however, comes with the critical need for robust microservices testing to ensure quality and reliability. In this article, we delve into the lowdown on microservices testing, exploring its challenges, benefits, types of tests, and essential tools for success in this domain. Understanding Microservices Testing Microservices testing is a specialized approach aimed at validating the performance, functionality, and resilience of individual microservices within a broader microservices architecture, as well as the system as a whole. The core distinction lies in the loosely-coupled and distributed nature of microservices, necessitating a testing strategy that accommodates the isolated testing of each service. Microservices Testing Types Unit Testing: This type of testing is the most granular and focuses on verifying the smallest components in isolation, such as individual methods or functions within a microservice. Integration Testing: It checks the interactions between different services or layers within a service to ensure they work harmoniously. Functional Testing: This assesses whether the system aligns with the specified requirements and functions as expected. End-to-End Testing: This comprehensive test validates the entire system, often leveraging automated tools to simulate real user interactions. Performance Testing: It evaluates the system’s responsiveness and stability under various load conditions. Security Testing: This critical aspect ensures there are no vulnerabilities in the microservices or their interactions. Contract Testing: It guarantees that different services adhere to predetermined contracts or specifications. Challenges in Microservices Testing Testing microservices brings its share of challenges: Isolating Services: The interconnected nature of microservices can make it challenging to isolate a single service for testing, as they often depend on other services. End-to-End Testing Complexity: The numerous interactions between services can make end-to-end testing cumbersome and prone to errors. Version Control: Coordinating testing with multiple services frequently updated independently can be complex and time-consuming. Tool Selection: The availability of various microservices testing tools requires careful consideration to select the most appropriate ones for different use cases. Resource-Intensive: Without a well-planned process, microservices testing can be laborious and expensive. Lack of Visibility: The distributed nature of microservices often means developers and testers lack full visibility into all services and their interactions, making monitoring and testing challenging. Inefficient Debugging: Identifying root causes of issues can be challenging due to the intricacies and distributed nature of microservices.

Navigating the World of Microservices Testing.pdf

AnanthReddy38

Ensuring the proper functionality of your website or application is imperative in the world of software development. There are numerous methods to achieve this, and one compelling approach is through the use of Java-based scrapers. In this article, we will explore what web scraping is, how Java scrapers can streamline testing, and the steps to implement them. Understanding Web Scraping: A First Step Web scraping involves the extraction of data from websites, much like a robot copying information from virtual pages. The purpose of web scraping varies, ranging from data analysis and machine learning projects to competitor monitoring. Now that we’ve grasped the basics of web scraping, let’s delve into how Java-based scrapers can enhance testing. Java-Based Scrapers for Efficient Testing: An Introduction Java-based scrapers offer a dynamic environment for efficient data extraction, making them an excellent choice for testing purposes. Java boasts extensive libraries and scalability, allowing the handling of large volumes of data with ease. By creating Java scripts that automate this process, you can save time and ensure precise, high-quality output. How to Implement a Java Scraper? Implementing Java scrapers may initially seem intimidating, but with the right guidance, it can be mastered quickly. A valuable resource for learning web scraping with Java is ZenRows’ guide, which provides detailed instructions and practical examples. Here are the steps to get you started: Set Up Your Development Environment: Install the latest JDK (Java Development Kit) and an IDE (Integrated Development Environment) like Eclipse or IntelliJ IDEA. Selecting Libraries: Choose powerful libraries such as Jsoup, HtmlUnit, or Selenium WebDriver for parsing HTML into manageable elements. Write Your First Script: Begin with simple scripts for basic tasks, gradually increasing complexity. Testing & Debugging: Always test your code promptly to identify and resolve potential issues. Remember that practice makes perfect, so continue honing your skills. Thorough Testing of Your Website With Java Scraping Tools Now that you are familiar with Java scraping, it’s time to use these tools to thoroughly test your website. A well-tested website ensures a smoother user experience and fewer common bugs. Here’s how to approach this: Understand the Test Scope: Identify areas of the site that require in-depth examination, such as functionality, performance under traffic load, and security features. Develop a Test Case: Write scripts focusing on specific test cases based on identified scopes. Data Extraction & Validation: Use scraper tools to extract data from web pages, then validate if the information matches expected results. Repetition and Scalability Tests: Run repeated tests to ensure efficiency under various scenarios as websites evolve over time. Following these steps will enhance the reliability and credibility of your web application.

Enhancing Website and Application Testing with Java Scrapers.pdf

AnanthReddy38

Test automation can be a game-changer for organizations striving to enhance their software development processes. However, despite its potential benefits, many teams encounter challenges that prevent them from fully realizing the value of test automation. In this article, we’ll explore five common reasons why test automation can fail and offer recommendations to overcome these obstacles. 1. Consumers of Test Results How they should be using test results: Developers and testers should promptly consume test results and prioritize resolving any failures. Test automation should provide insights into system health and identify issues in functional components and user journeys. Symptoms to look out for: Development teams ignore test results, rendering them ineffective. Recommendation: If your team isn’t actively using test results, pause automation efforts and address the underlying issues causing this disengagement. Effective communication and understanding of the value of test results are crucial to avoid building unnecessary features. 2. Creation of Test Data How data should be used: Automated tests should generate and manage their own data, ensuring independence and repeatability. Team members should have the ability to create test data easily, even for complex data structures. Symptoms to look out for: Tests rely on specific database states, limiting portability, and teams perceive test failures as script issues rather than application defects. Recommendation: Invest in creating easily accessible test data, supporting various scenarios and maturity levels. Consider solutions like data-as-a-service, as exemplified by Wotif, to streamline data creation, even in complex ecosystems. 3. Metrics for Test Automation What it should measure: Metrics should measure valuable outcomes and guide decision-making. Examples include feedback time and code coverage. Symptoms to look out for: Using incorrect metrics, such as focusing solely on test coverage, leading to a bloated and inefficient automation suite. Recommendation: Utilize meaningful metrics like feedback time and code coverage judiciously. High code coverage is desirable, but it should be balanced with test quality. Analyze low coverage areas to understand the reasons behind them and take targeted actions. 4. Test Environments What they should allow you to do: Test environments should enable quick identification of issues, their root causes, and rapid validation of fixes. Symptoms to look out for: Shared, unreliable test environments that erode trust in automation results, and manual setup of environments. Recommendation: Control change by breaking down the path to production into incremental steps with frequent deployments. This reduces the complexity of identifying issues and accelerates fixes, bolstering trust in the testing process.

5 Reasons Why Test Automation Can Fail.pdf

AnanthReddy38

In the world of software development and software testing plays a critical role in ensuring the quality and reliability of a product. Three popular methodologies that emphasize testing throughout the development process are Test-Driven Development (TDD), Behavior-Driven Development (BDD), and Acceptance Test-Driven Development (ATDD). While these methodologies are primarily associated with developers, testers also have a crucial role to play in their successful implementation. In this article, we will explore how testers are involved in TDD, BDD, and ATDD techniques. Test-Driven Development (TDD) TDD is a development methodology where tests are written before the actual code. The process follows a simple cycle: write a failing test, write the code to make the test pass, and refactor as needed. Testers can contribute to TDD in the following ways: a. Collaborative Test Design: Testers collaborate with developers to design test cases that cover various scenarios, including edge cases and boundary conditions. These tests serve as the foundation for TDD. b. Continuous Testing: Testers ensure that automated tests are executed continuously as developers make code changes. They identify and report any regressions promptly. c. Test Coverage: Testers monitor test coverage to ensure that critical parts of the code are adequately tested. They help identify gaps and areas where additional tests are needed. d. Exploratory Testing: Testers perform exploratory testing to uncover unexpected issues and validate the software’s behavior in real-world scenarios. Behavior-Driven Development (BDD) BDD extends TDD by focusing on the behavior of the software from a user’s perspective. It uses natural language specifications to describe the expected behavior of features. Testers play a significant role in BDD by: a. Collaborative Scenario Writing: Testers work closely with developers and stakeholders to write behavior scenarios using tools like Gherkin. These scenarios serve as living documentation and guide the development process. b. Test Automation: Testers automate BDD scenarios using tools like Cucumber or SpecFlow, ensuring that the behavior described in the scenarios is continually validated as the software evolves. c. Validating Acceptance Criteria: Testers ensure that acceptance criteria are met for each user story or feature. They also verify that the software behaves as expected in different scenarios. d. End-to-End Testing: Testers perform end-to-end testing to validate the entire system’s behavior, focusing on user journeys and interactions. Acceptance Test-Driven Development (ATDD) ATDD bridges the gap between business stakeholders, developers, and testers by defining acceptance criteria and tests upfront. Testers are instrumental in ATDD by: a. Requirement Validation: Testers collaborate with business analysts and stakeholders to ensure that acceptance criteria are clear, unambiguous, and testable.

How Testers Contribute to TDD, BDD, and ATDD Techniques.pdf

AnanthReddy38

In the ever-evolving world of software development, quality assurance and testing play a pivotal role in ensuring that the end product meets the desired standards of functionality, reliability, and performance. One crucial aspect of effective testing is the use of test tools during the test design phase. Test tools, which encompass a wide range of software applications and utilities, facilitate and enhance the testing process in numerous ways. In this article, we’ll explore the reasons why using test tools during test design is not just beneficial but often essential. Efficiency: Test tools streamline the test design process by automating various tasks. For instance, they can generate test cases based on predefined criteria, reducing the manual effort required. This efficiency allows testing teams to create and maintain a comprehensive test suite more quickly, saving valuable time and resources. Consistency: Human errors are inevitable, but test tools can help minimize them. Test tools ensure that test cases are designed consistently, adhering to established testing standards and guidelines. This consistency is crucial for maintaining the integrity of the testing process and making it easier to identify and address issues. Reusability: Test tools enable the creation of reusable test assets, such as test scripts, test data, and test scenarios. These assets can be leveraged across different testing phases and projects, reducing redundancy and promoting a more efficient and cost-effective testing approach. Complexity Handling: In modern software applications, the complexity of testing requirements has increased significantly. Test tools can handle complex scenarios, including data-driven testing, cross-browser testing, and performance testing, which would be impractical or time-consuming to execute manually. Traceability: Test tools offer built-in traceability features, allowing testers to link test cases to specific requirements and track the coverage of those requirements. This ensures that all functional aspects of the software are thoroughly tested and helps demonstrate compliance with project specifications. Reporting and Documentation: Test tools generate detailed test reports automatically, providing stakeholders with clear insights into the testing process and results. These reports can be valuable for decision-making, audit purposes, and demonstrating compliance with industry standards and regulations. Test Data Management: Managing test data can be a challenging task, especially when dealing with large datasets or sensitive information. Test tools often include features for efficient test data management, allowing testers to create, import, and manipulate test data easily while maintaining data privacy and security. Regression Testing: Continuous integration and frequent code changes require frequent regression testing.

Why Use Test Tools During Test Design.pdf

AnanthReddy38

In today’s fast-paced software development landscape, agility is key. Agile methodologies have revolutionized the way software is built and delivered, allowing teams to respond quickly to changing requirements and customer feedback. Test automation plays a pivotal role in enabling agility by ensuring rapid and reliable testing processes. However, implementing efficient test automation in the Agile world requires a thoughtful approach. In this article, we will explore the best practices and strategies for achieving this goal. Understanding Agile and Test Automation Before delving into the specifics of implementing test automation in Agile, it’s essential to understand the core principles of both Agile and test automation. Agile Development is an iterative and incremental approach to software development that emphasizes flexibility, collaboration, and customer-centricity. It focuses on delivering small, functional increments of software, known as “user stories” or “features,” in short timeframes called “sprints.” Test Automation involves using automated testing tools and scripts to perform repetitive and time-consuming test activities, such as regression testing, load testing, and functional testing. Test automation aims to increase testing efficiency, accuracy, and speed while reducing manual effort. Challenges in Implementing Test Automation in Agile Continuous Change: Agile projects are characterized by changing requirements and frequent updates. This dynamic environment can pose challenges for maintaining automated test scripts, as they may become obsolete quickly. Time Constraints: Agile emphasizes short development cycles. This means that testing needs to keep up with the pace of development, requiring automation to be both efficient and effective. Collaboration: Agile teams rely on close collaboration between developers, testers, and other stakeholders. Effective communication and collaboration are essential to ensure that automated tests align with the project’s goals. Best Practices for Efficient Test Automation in Agile 1. Start Early Begin test automation efforts as soon as possible in the project lifecycle. Test automation should be an integral part of the development process from the beginning. This ensures that automated tests can evolve alongside the application, adapting to changing requirements. 2. Select the Right Tools Choose test automation tools that are well-suited for Agile development. Tools like Selenium, Appium, and JUnit are popular choices because of their flexibility and compatibility with Agile practices. Additionally, consider tools that offer collaboration features and integrate easily with your development environment. 3. Test Automation Pyramid Adhere to the Test Automation Pyramid concept, which suggests a hierarchy of test automation levels: unit testing, integration testing, and UI testing.

How To Implement Efficient Test Automation In The Agile World.pdf

AnanthReddy38

1.What is Selenium? Selenium is an open-source tool used for automating web browsers. 2. What are the components of Selenium? Selenium has three components: Selenium WebDriver, Selenium IDE, and Selenium Grid. 3.What is the difference between Selenium WebDriver and Selenium IDE? Selenium WebDriver is a programming interface used to create and run test cases. Selenium IDE is a record and playback tool used to create test cases. 4.What programming languages are supported by Selenium? Selenium supports a variety of programming languages, including Java, Python, Ruby, C#, and JavaScript. 5.What is the use of the Selenium WebDriver? Selenium WebDriver is used to create and run test cases on web browsers. 6.What is a locators in Selenium? Locators are used to identify elements on a web page in Selenium. Some commonly used locators include ID, Name, Class Name, CSS Selector, and Xpath. 7.What is an Xpath? Xpath is a language used to locate elements on a web page in Selenium. It stands for XML Path Language. 8.What are the advantages of using Selenium? Selenium is open-source, supports multiple programming languages, can run on multiple browsers, and can automate web applications. 9.What are the disadvantages of using Selenium? Selenium can be slow and unstable at times, and it requires a good understanding of programming languages. 10.What is the difference between findElement and findElements in Selenium WebDriver? findElement returns the first matching element on a web page, while findElements returns a list of all matching elements. 11.How do you handle dynamic elements in Selenium? Dynamic elements can be handled using wait commands, such as implicit wait, explicit wait, and fluent wait. 12.How do you handle pop-ups and alerts in Selenium? Pop-ups and alerts can be handled using the switchTo() method in Selenium. 13.What is a Selenium Grid? Selenium Grid is a tool used to run Selenium tests on multiple machines at the same time. 14.What is a Selenium IDE? Selenium IDE is a record and playback tool used to create test cases for web applications. 15.How do you run Selenium tests in different browsers? Selenium tests can be run in different browsers using the WebDriver object and the desired capabilities. 16.How do you select a value from a dropdown in Selenium? Dropdowns can be selected using the Select class in Selenium. 17.What is a headless browser in Selenium? A headless browser is a browser that runs in the background without a user interface. It is used for automated testing and web scraping. 18.How do you take a screenshot in Selenium? Screenshots can be taken using the TakesScreenshot interface in Selenium. 19.How do you handle frames in Selenium? Frames can be handled using the switchTo() method in Selenium. 20.How do you handle multiple windows in Selenium? Multiple windows can be handled using the getWindowHandles() method in Selenium.

25 Top Selenium Interview Questions and Answers for 2023.ppt.pptx

AnanthReddy38

What is Java? Java is a high-level, object-oriented programming language known for its platform independence and ability to run on various devices and operating systems. Explain Object-Oriented Programming (OOP) concepts. OOP concepts include encapsulation, inheritance, abstraction, and polymorphism, which allow you to structure and organize code efficiently. What is the difference between int and Integer in Java? int is a primitive data type, while Integer is a wrapper class for the int primitive type, allowing it to be used in object-oriented contexts. What is the significance of the static keyword? static is used to define a class-level variable or method that belongs to the class rather than instances of the class. It can be accessed using the class name. Explain the final keyword. The final keyword is used to make a variable, method, or class unchangeable or unextendable. A final variable cannot be reassigned, a final method cannot be overridden, and a final class cannot be extended. What is method overloading and method overriding? Method overloading involves creating multiple methods in the same class with the same name but different parameters. Method overriding occurs when a subclass provides a specific implementation for a method defined in its superclass. What is the this keyword used for? The ‘this’ keyword refers to the current instance of a class and can be used to differentiate between instance variables and method parameters with the same name. Explain the concept of exception handling in Java. Exception handling is the process of dealing with runtime errors in a program. Java provides try, catch, finally, and throw keywords to manage exceptions. What is the difference between == and .equals() in Java? == compares object references, while .equals() compares the content or values of objects. What is a constructor? A constructor is a special method that is called when an object of a class is created. It initializes the object’s state. What is a package in Java? A package is a collection of related classes and interfaces that are bundled together for organization and management. Explain the concept of method visibility (access modifiers). Access modifiers (e.g., public, private, protected, package-private) define the level of visibility a class, method, or field has within the same class, package, or subclasses. What is the difference between ArrayList and LinkedList? ArrayList is implemented as a dynamic array, while LinkedList is implemented as a doubly-linked list. ArrayList offers better performance for random access, while LinkedList is better for frequent insertions and deletions. How does garbage collection work in Java? Garbage collection automatically reclaims memory used by objects that are no longer referenced by the program. The Java Virtual Machine (JVM) handles this process.

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WebServices_Course_Content.pdf

1. Webservices API Web Services Concepts  What are Web services?  SOAP Protocol Explanation  Advantages and Disadvantages of SOAP  REST Protocol Explanation  Advantages and Disadvantages of REST  Challenges in APIWebservices testing REST API TESTING  REST API Basics and Terminology  Introduction to REST API  Understanding how REST API architecture works  What is Base URL URI and Resources in REST&API?  Understanding GET, POST, PUT, DELETE etc.  What are headers and cookies in rest request?  Understanding how to create request  Detail explanation about response  Detail explanation about Status codes 1XX, 2XX, 3XX etc. JSON Overview  JSON creation explanation  JSON supported data types  JSON reading and storing in Java classes  Automation Utilities for Parsing the Json  Files using GSONJACKSON APIWebservices manual test through POST MAN Tool:  Introduction of Postman tool  Installation of postman tool  Difference between Standalone and Chrome extension  Execution of requests and Validation responses with POSTMAN APIWebservices Automation through Rest assured Tool  Introduction of Rest Assured tool  Difference between HTTP client and Rest Assured Tool  Rest Assured tool integration with JAVA project  Automation of GET, POST, PUT and DELETE requests  Examples on validating response headers and status codes  Optimizing the scripts by centralizing the data

2. Jenkins Integration with Webservices project  Overview of CI Tools  Introduction about Jenkins Tool  Introduction about Continuous integration  Installing Jenkins tool  Creating Jobs in Jenkins tool  Scheduling Jobs for timely Execution  Integration with Webservice Scripts and Running Scripts  Configure mail notification in Jenkins Automation Reports and Logs  Importance of Reporting in Test automation  Different types of Reports and Logs  Creation of HTML Report using Test NG  Print Logs using Log4j  Advanced HTML reports creation using Extent report. Version Control Tools  Overview Version Control Tools  Importance of Version Control Tool  Git Tool Setup in Machine  Hosting Automation project in Git Hub  Integration of Git Hub Project with Jenkins 304 & 305, Paradigm SSS Square, Kothaguda X Roads, Opp toAMB Cinemas, Hyderabad - 500 081. +91 6309 16 16 16 | info@magnitia.com | www.magnitia.com

WebServices_Course_Content.pdf

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