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Delite software technologies pvt ltd Interview Questions and Answers
Ques:- What is the difference between a user story, a task, and an epic in Agile
Right Answer:
* **Epic:** A large, high-level user story that is too big to complete in a single iteration. It's usually broken down into smaller user stories.
* **User Story:** A small, self-contained requirement that represents a valuable piece of functionality for the end-user. It follows the format: "As a [user type], I want [goal] so that [benefit]".
* **Task:** A small, actionable item that needs to be done to complete a user story. It's a technical breakdown of the work required by the development team.
Ques:- How do you approach Agile at scale (e.g., SAFe, LeSS) for larger teams or organizations
Right Answer:
I would assess the organization's context, choose a suitable scaling framework like SAFe or LeSS based on needs, implement it incrementally with training and coaching, focusing on value delivery, and continuously inspect and adapt the implementation based on feedback and results.
Ques:- What is Scrum, and how do you implement it in software development projects
Right Answer:
Scrum is an Agile framework for managing and completing complex projects.

Implementation involves:

1. **Roles:** Defining roles like Product Owner, Scrum Master, and Development Team.
2. **Sprints:** Working in short, time-boxed iterations (Sprints), typically 2-4 weeks.
3. **Artifacts:** Using artifacts like Product Backlog, Sprint Backlog, and Increment.
4. **Events:** Conducting events such as Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective.
5. **Continuous Improvement:** Regularly inspecting and adapting the process based on feedback.
Ques:- What is a product backlog, and how do you manage it
Right Answer:
A product backlog is a prioritized list of features, bug fixes, tasks, and requirements needed to build a product. It's managed through regular refinement, prioritization, estimation, and updates based on feedback and changing business needs, often facilitated by the Product Owner.
Ques:- How do you measure success in an Agile project, both in terms of output and team health
Right Answer:
Success in Agile is measured by:

* **Output:** Delivering valuable, working software frequently; achieving the product vision; meeting business goals; customer satisfaction; and predictability (consistent delivery).
* **Team Health:** Team morale; continuous improvement (velocity trends, retrospectives leading to action); collaboration; self-organization; and sustainable pace.
Ques:- What is the difference between GET, POST, PUT, and DELETE in HTTP
Right Answer:
GET is used to retrieve data from a server, POST is used to send data to a server to create a resource, PUT is used to update an existing resource on the server, and DELETE is used to remove a resource from the server.
Ques:- What is an API endpoint and how do you define it
Right Answer:
An API endpoint is a specific URL or URI where an API can be accessed by a client to perform operations like retrieving or sending data. It defines the location and method (such as GET, POST) for interacting with the API.
Ques:- What are RESTful principles and how do they apply to API design
Right Answer:
RESTful principles include:

1. **Statelessness**: Each API call must contain all the information needed to understand and process the request, with no stored context on the server.
2. **Client-Server Architecture**: The client and server are separate, allowing for independent development and scalability.
3. **Uniform Interface**: A consistent way to interact with resources, typically using standard HTTP methods (GET, POST, PUT, DELETE).
4. **Resource-Based**: APIs should expose resources (data entities) through URIs, and clients interact with these resources.
5. **Representation**: Resources can be represented in various formats (like JSON or XML), and clients can request the format they prefer.
6. **Cacheability**: Responses should indicate whether they can be cached to improve performance and reduce server load.

These principles guide the design of APIs to be scalable, efficient, and easy to use.
Ques:- What are HTTP methods and how are they used in APIs
Right Answer:
HTTP methods are standardized request types used in APIs to perform actions on resources. The main methods are:

1. **GET**: Retrieve data from a server.
2. **POST**: Send data to a server to create a new resource.
3. **PUT**: Update an existing resource on the server.
4. **DELETE**: Remove a resource from the server.
5. **PATCH**: Apply partial modifications to a resource.

These methods define the action to be performed on the specified resource in the API.
Ques:- What is rate limiting in APIs and how is it implemented
Right Answer:
Rate limiting in APIs is a technique used to control the number of requests a user can make to an API within a specific time period. It is implemented by setting thresholds (e.g., requests per minute) and using mechanisms like tokens, counters, or IP address tracking to monitor and restrict access when the limit is exceeded.
Ques:- What is a pivot table and how do you use it in Excel or other tools
Right Answer:
A pivot table is a data processing tool that summarizes and analyzes data in a spreadsheet, like Excel. You use it by selecting your data range, then inserting a pivot table, and dragging fields into rows, columns, values, and filters to organize and summarize the data as needed.
Ques:- What is clustering in data analysis and how is it different from classification
Right Answer:
Clustering in data analysis is the process of grouping similar data points together based on their characteristics, without prior labels. It is an unsupervised learning technique. In contrast, classification involves assigning predefined labels to data points based on their features, using a supervised learning approach.
Ques:- What is the purpose of feature engineering in data analysis
Right Answer:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.
Ques:- What are the different types of data analysis
Right Answer:
The different types of data analysis are:

1. Descriptive Analysis
2. Diagnostic Analysis
3. Predictive Analysis
4. Prescriptive Analysis
5. Exploratory Analysis
Ques:- What is classification analysis and how does it work
Right Answer:
Classification analysis is a data analysis technique used to categorize data into predefined classes or groups. It works by using algorithms to learn from a training dataset, where the outcomes are known, and then applying this learned model to classify new, unseen data based on its features. Common algorithms include decision trees, logistic regression, and support vector machines.
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