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Right Answer:
I actively seek feedback by asking for input from colleagues and supervisors, listen carefully to their suggestions, and reflect on their comments. I prioritize constructive criticism, set specific goals for improvement, and regularly check my progress. Additionally, I maintain a growth mindset, viewing feedback as an opportunity to learn and develop my skills.

Right Answer:
I manage stress or frustration by taking a moment to pause and assess the situation. I prioritize tasks, break them down into smaller steps, and focus on what I can control. I also communicate with my team to share concerns and seek support, and I practice stress-relief techniques like deep breathing or short breaks to maintain my focus and productivity.

Right Answer:
I handle shifting priorities by staying flexible and open to change. I prioritize tasks based on the new requirements, communicate with my team to ensure everyone is aligned, and adjust my workflow to accommodate the changes while maintaining focus on project goals.

Right Answer:
I approach adapting to new company cultures by observing and understanding the values and norms of the organization. I actively listen to my colleagues, ask questions, and seek feedback to align my work style with the team. When working with diverse teams, I embrace different perspectives, promote open communication, and foster an inclusive environment to ensure everyone feels valued and heard.

Right Answer:
I maintain productivity with new or unfamiliar tasks by breaking them down into smaller steps, prioritizing tasks, seeking clarification when needed, using available resources, and staying organized. I also set specific goals and deadlines to keep myself focused and motivated.

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:
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:
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.

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:
The purpose of feature engineering in data analysis is to create, modify, or select variables (features) that improve the performance of machine learning models by making the data more relevant and informative for the analysis.

Right Answer:
Modicare, officially known as Ayushman Bharat, provides a broader health coverage of up to ₹5 lakh per family per year for secondary and tertiary care hospitalization, while Rashtriya Swasthya Bima Yojana (RSBY) primarily focuses on providing health insurance to below-poverty-line families for specific health services.

Right Answer:
TCP stands for Transmission Control Protocol. It is a communication protocol used to establish a connection and ensure reliable data transmission between devices over a network.

Right Answer:
Use a "forward-only" or "static" cursor type to retrieve multiple record sets.