Find Interview Questions for Habile technologies

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.

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.

Right Answer:
We prioritize features or tasks in an Agile sprint using a combination of factors like business value, risk, effort/size, dependencies, and urgency. Product Owner usually leads this, using techniques like MoSCoW (Must have, Should have, Could have, Won't have) or story pointing, to ensure the most valuable items are tackled first.

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.

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:
An API Gateway acts as a single entry point for clients to access multiple microservices, handling requests, routing them to the appropriate services, managing authentication, rate limiting, and aggregating responses.

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:
CORS, or Cross-Origin Resource Sharing, is a security feature implemented by web browsers that allows or restricts web applications from making requests to a domain different from the one that served the web page. It affects API development by requiring developers to configure their APIs to specify which origins are allowed to access their resources, ensuring that only trusted domains can interact 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:
API authentication is the process of verifying the identity of a user or application trying to access an API. Common methods include:

1. **API Keys**: Unique keys provided to users to access the API.
2. **Basic Authentication**: Uses a username and password encoded in Base64.
3. **OAuth**: A token-based authentication method that allows users to grant limited access to their resources without sharing credentials.
4. **JWT (JSON Web Tokens)**: A compact, URL-safe means of representing claims to be transferred between two parties, often used for stateless authentication.
5. **HMAC (Hash-based Message Authentication Code)**: Uses a secret key to create a hash of the request, ensuring data integrity and authenticity.

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:
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

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:
Supervised learning uses labeled data to train models, meaning the output is known, while unsupervised learning uses unlabeled data, where the model tries to find patterns or groupings without predefined outcomes.

Right Answer:
The different types of data distributions include:

1. Normal Distribution
2. Binomial Distribution
3. Poisson Distribution
4. Uniform Distribution
5. Exponential Distribution
6. Log-Normal Distribution
7. Geometric Distribution
8. Beta Distribution
9. Chi-Squared Distribution
10. Student's t-Distribution