Find Interview Questions for Digite Infotech

Right Answer:
During a sprint, I generally avoid scope creep. If a change request is small and doesn't impact the sprint goal, the team can discuss and decide if it can be included. If the change is significant, it goes into the product backlog to be prioritized for a future sprint.

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:
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:
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.

Right Answer:
To facilitate effective sprint retrospectives, I would:

1. **Set the Stage:** Create a safe and open environment where the team feels comfortable sharing.
2. **Gather Data:** Collect information about what went well, what didn't, and any challenges faced during the sprint.
3. **Generate Insights:** Facilitate a discussion to identify root causes and patterns.
4. **Decide on Actions:** Collaborate to define specific, actionable, measurable, achievable, relevant, and time-bound (SMART) improvements.
5. **Close the Retrospective:** Summarize action items and assign owners.
6. **Follow Up:** Track progress on action items in subsequent sprints to ensure continuous improvement.

Right Answer:
API documentation is a technical manual that explains how to use an API, including its endpoints, request and response formats, authentication methods, and examples. It is necessary because it helps developers understand how to integrate and interact with the API effectively, ensuring proper usage and reducing errors.

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.

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.

Right Answer:
Synchronous API calls wait for the response before moving on to the next task, while asynchronous API calls allow the program to continue executing other tasks while waiting for the response.

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:
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

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:
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.

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

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.