Find Interview Questions for WFP

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:
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:
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:
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:
Descriptive statistics summarize and describe the main features of a dataset, using measures like mean, median, mode, and standard deviation. Inferential statistics use sample data to make predictions or inferences about a larger population, often employing techniques like hypothesis testing and confidence intervals.

Right Answer:
In the three-point estimating method, you calculate the estimate using three values: the optimistic estimate (O), the pessimistic estimate (P), and the most likely estimate (M). The formula is:

Estimate = (O + 4M + P) / 6.

This gives more weight to the most likely scenario while considering the extremes.

Right Answer:
Plan baselines are a feature in database management systems that allow you to store and manage execution plans for SQL queries. They help ensure that the database uses a consistent and optimal execution plan for a query, even if the underlying data or statistics change. This can improve performance and stability by preventing unexpected plan changes that could lead to slower query execution.

Right Answer:
Your major responsibilities include planning, executing, and closing projects; managing project teams; ensuring projects are completed on time and within budget; communicating with stakeholders; and mitigating risks.

Right Answer:
I have a positive and proactive attitude. I approach challenges with a solution-oriented mindset, stay adaptable to changes, and focus on collaboration and communication to achieve project goals.

Right Answer:
In my previous project, I worked on the construction of a multi-story residential building. My role involved coordinating with subcontractors, managing site safety protocols, and ensuring that the project adhered to the timeline and budget. We successfully completed the project on schedule, with a focus on quality and compliance with local regulations.

Right Answer:
Yes, I plan to continue my studies by pursuing relevant certifications, attending workshops, and keeping up with the latest trends and technologies in database management.

Right Answer:
In my previous role, I led a team of three analysts to optimize our database performance. We collaborated to identify bottlenecks, implemented indexing strategies, and improved query efficiency, resulting in a 30% reduction in response time for our main application.