Find Interview Questions for Soft suave technologies pvt. ltd.

Right Answer:
Agile is an iterative and incremental approach to project management that focuses on collaboration, flexibility, and customer satisfaction. Unlike traditional, sequential (waterfall) methods, Agile embraces change throughout the project lifecycle through short development cycles called sprints.

Right Answer:
* **Listen actively:** Understand their concerns and perspective.
* **Communicate clearly and frequently:** Keep them informed about progress and challenges.
* **Find common ground:** Focus on shared goals and objectives.
* **Be transparent:** Share data and evidence to support decisions.
* **Facilitate collaboration:** Encourage open dialogue and problem-solving.
* **Coach and mentor:** Help team members grow and improve.
* **Escalate when necessary:** Involve a Scrum Master or manager if the situation doesn't improve.

Right Answer:
The Scrum Master is a servant-leader who helps the Scrum Team follow the Scrum framework. They facilitate Scrum events (Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective), remove impediments, protect the team from distractions, and coach the team on Agile principles and practices.

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.

Right Answer:
"In one project, we underestimated the complexity of integrating a new third-party API. This caused us to miss our sprint goal. To address this, we immediately re-estimated the remaining work, broke down the integration into smaller, more manageable tasks, and increased communication with the API vendor. We also temporarily shifted team focus to prioritize the integration, delaying a lower-priority feature for the next sprint. Finally, in the sprint retrospective, we implemented a better vetting process for third-party integrations to avoid similar issues in the future."

Right Answer:
API versioning is the practice of managing changes to an API by assigning version numbers to different iterations of the API. It is important because it allows developers to introduce new features or make changes without breaking existing client applications that rely on older versions, ensuring backward compatibility and a smoother transition for users.

Right Answer:
JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. In APIs, JSON is commonly used to format data exchanged between a client and a server, allowing for structured data representation in requests and responses.

Right Answer:
API testing is the process of verifying that an application programming interface (API) functions as expected, ensuring it meets the requirements for functionality, reliability, performance, and security. Tools that can be used for API testing include Postman, SoapUI, JMeter, RestAssured, and Swagger.

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.

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.

Right Answer:
Exploratory Data Analysis (EDA) is the process of analyzing and summarizing datasets to understand their main characteristics, often using visual methods. It helps identify patterns, trends, and anomalies in the data before applying formal modeling techniques.

Right Answer:
Some common data visualization techniques include:

1. Bar Charts
2. Line Graphs
3. Pie Charts
4. Scatter Plots
5. Histograms
6. Heat Maps
7. Box Plots
8. Area Charts
9. Tree Maps
10. Bubble Charts

Right Answer:
Data analysis is the process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making. It is important because it helps organizations make informed decisions, identify trends, improve efficiency, and solve problems based on data-driven insights.

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.

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.