Find Interview Questions for Exilant Technologies

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:
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:
* **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.

Right Answer:
Agile ceremonies are recurring meetings within a sprint to facilitate communication, planning, and continuous improvement.

* **Sprint Planning:** The team decides what work to complete in the upcoming sprint. They discuss user stories, estimate effort, and define the sprint goal.

* **Daily Stand-up:** A brief daily meeting where the team shares progress, identifies roadblocks, and coordinates efforts. Each member typically answers: What did I do yesterday? What will I do today? Are there any impediments?

* **Sprint Review:** The team demonstrates the completed work to stakeholders, gathering feedback and ensuring alignment with expectations.

* **Sprint Retrospective:** The team reflects on the past sprint, identifying what went well, what could be improved, and defining action items to enhance future performance.

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:
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:
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.

Right Answer:
Correlation is a statistical measure that indicates the extent to which two variables fluctuate together, while causation implies that one variable directly affects or causes a change in another variable.

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:
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

Right Answer:
To count the number of lines, characters, and words in a file without using advanced methods, you can read the file byte by byte. Here's a simple approach in pseudocode:

1. Initialize counters: `lineCount = 0`, `wordCount = 0`, `charCount = 0`.
2. Open the file for reading.
3. While not end of file:
- Read one byte.
- Increment `charCount` for each byte read.
- If the byte is a newline character (`n`), increment `lineCount`.
- If the byte is a whitespace character (space, tab), check if the previous byte was not a whitespace, then increment `wordCount`.
4. Close the file.
5. Output `lineCount`, `wordCount`, and `charCount`.