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Snva ventures Interview Questions and Answers
Ques:- What is the importance of cross-functional teams in Agile, and how do you foster collaboration
Right Answer:
Cross-functional teams in Agile are important because they bring together all the necessary skills to complete work without dependencies on other teams. This leads to faster delivery, better problem-solving, and increased innovation. To foster collaboration, encourage open communication, shared understanding of goals, mutual respect, and a focus on collective ownership.
Ques:- Can you explain the key principles of the Agile Manifesto
Right Answer:
The Agile Manifesto values:

* **Individuals and interactions** over processes and tools.
* **Working software** over comprehensive documentation.
* **Customer collaboration** over contract negotiation.
* **Responding to change** over following a plan.

That is, while the items on the right have value, we value the items on the left more.
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:- What is Agile methodology, and how does it differ from traditional project management approaches
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.
Ques:- How do you ensure that Agile processes are being followed consistently
Right Answer:
We ensure consistent Agile processes through:

* **Training and coaching:** Ensuring the team understands Agile principles and practices.
* **Regular audits and retrospectives:** Identifying deviations and areas for improvement.
* **Using tools and templates:** Standardizing processes and providing guidelines.
* **Defining clear roles and responsibilities:** Ensuring everyone knows their part in the process.
* **Promoting open communication and feedback:** Encouraging early detection of issues.
Ques:- What are the different types of APIs
Right Answer:
The different types of APIs are:

1. **Open APIs (Public APIs)** - Available to developers and third parties.
2. **Internal APIs (Private APIs)** - Used within an organization.
3. **Partner APIs** - Shared with specific business partners.
4. **Composite APIs** - Combine multiple endpoints into a single call.
5. **Web APIs** - Accessible over the internet using HTTP/HTTPS.
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 API testing and what tools can be used for it
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.
Ques:- What is JSON and how is it used in APIs
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.
Ques:- What is OAuth and how does it work in API authentication
Right Answer:
OAuth is an open standard for access delegation commonly used for token-based authentication and authorization. It allows third-party applications to access a user's resources without sharing their credentials.

In API authentication, OAuth works by having the user authorize the application to access their data. The process involves:

1. The user is redirected to an authorization server to log in and grant permission.
2. The authorization server issues an access token to the application.
3. The application uses this access token to make API requests on behalf of the user.
4. The API validates the token and grants access to the requested resources.
Ques:- What is data normalization and why is it important
Right Answer:
Data normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves structuring the data into tables and defining relationships between them. Normalization is important because it helps eliminate duplicate data, ensures data consistency, and makes it easier to maintain and update the database.
Ques:- What are some common data analysis tools and software
Right Answer:
Some common data analysis tools and software include:

1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark
Ques:- How do you handle missing data in a dataset
Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.
Ques:- What are the steps involved in data cleaning
Right Answer:
1. Remove duplicates
2. Handle missing values
3. Correct inconsistencies
4. Standardize formats
5. Filter out irrelevant data
6. Validate data accuracy
7. Normalize data if necessary
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
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