Find Interview Questions for KRL

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:
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:
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 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:
Kanban focuses on visualizing workflow, limiting work in progress (WIP), and continuous flow. Scrum uses time-boxed iterations (sprints) with specific roles (Scrum Master, Product Owner, Development Team) and events (sprint planning, daily scrum, sprint review, sprint retrospective).

Use Kanban when you need continuous delivery, have evolving priorities, and want to improve workflow incrementally. Use Scrum when you need structured development with fixed-length iterations, have clear goals for each iteration, and benefit from team collaboration with defined roles.

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:
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.

Right Answer:
Outliers are data points that significantly differ from the rest of the dataset. They can skew results and affect statistical analyses. To handle outliers, you can:

1. Identify them using methods like the IQR (Interquartile Range) or Z-scores.
2. Remove them if they are errors or irrelevant.
3. Transform them using techniques like log transformation.
4. Use robust statistical methods that are less affected by outliers.
5. Analyze them separately if they provide valuable insights.

Right Answer:
Clustering in data analysis is the process of grouping similar data points together based on their characteristics, without prior labels. It is an unsupervised learning technique. In contrast, classification involves assigning predefined labels to data points based on their features, using a supervised learning approach.