Dun & Bradstreet Data Analyst Interview Questions and Answers

Round duration - 45 Minutes
Round difficulty - Medium

Q1. 
Find the Second Largest Element
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
Example:
Input:
ARR = [2,...read more
Ans. 
Find the second largest element in an array of integers.
• Iterate through the array to find the largest and second largest elements.

• Handle cases where all elements are identical.

• Return -1 if a second largest element does not exist.
Answered by AI
Add your answer

Round duration - 20 Minutes
Round difficulty - Easy

It was a data set and my task was to find oit the different types of sales trend weekly, monthly, city wise and gender wise.

Q1. It was technical interview related to different types of tools and trchnology related, like differnt types of questions relatedcto ml, python, tableau, powerbi, excel and many more
Add your answer

Q1. It was another technical interview based on project and mid level tools and tecjnology related discussion
Add your answer

Q1. What are your salary expectations?
Add your answer
Q2. What is your family background?
Add your answer
Q3. Why should we hire you?
Add your answer
Q4. Tell me about yourself.
Add your answer

Q1. Explain the RAG pipeline?
Ans. 
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
• RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

• Red category typically represents data that needs immediate attention or action

• Amber category represents data that requires monitoring or further investigation

• Green category represents data that...read more
Answered by AI
Add your answer
Q2. Explain Confusion metrics
Ans. 
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
• Confusion matrix is a table that describes the performance of a classification model.

• It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

• These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...read more
Answered by AI
Add your answer

Q1. Self introduction
Add your answer
Q2. Knowledge of data handling
Add your answer

Q1. How can you explain your work experience and describe how you can contribute to the organization?
Ans. 
I have extensive experience in analyzing data to provide valuable insights and drive decision-making. I can contribute by leveraging my skills to improve processes and optimize performance.
• I have worked with various data analysis tools and techniques to extract, clean, and analyze data sets.

• I have experience in creating visualizations and reports to communicate findings to stakeholders.

• I have a track record of identify...read more
Answered by AI
Add your answer

2hrs - sections include aptitude, machine learning, deep learning and two easy python coding questions

Q1. Resume scrutiny with projects and internships
Add your answer
Q2. How to measure 45 mins duration using two identical wires
Add your answer
Q3. Partition a round cake into eight equal parts within three cuts
Add your answer
Q4. 10 coins puzzle (5 heads up and 5 tails up)
Add your answer