MiQ Digital Interview Questions, Process, and Tips

The test was easy, containing data interpretation questions

Q1. Case study to evaluate my approach
Add your answer
Q2. Guesstimate to evaluate my approach
Ans. 
To evaluate your approach, I would estimate the number of cars passing through a busy intersection in a day.
• Identify the average number of cars passing through the intersection per minute

• Calculate the total number of minutes in a day

• Multiply the average cars per minute by total minutes in a day to get an estimate
Answered by AI
Add your answer

Q1. Questions were on my resume
Add your answer
Q2. And also questions more on SQL and python
Add your answer
Q3. Asked have you worked on any dash boards
Add your answer

Q1. About the previous roles and responsibilities
Add your answer
Q2. Knowledge on skills to which they are looking for the role
Add your answer

Q1. Questions on taxes
Add your answer
Q2. Questions on excel
Add your answer

Q1. Introduce yourself
Ans. 
I am a seasoned HR professional with 10+ years of experience in recruitment, employee relations, and performance management.
• Bachelor's degree in Human Resources Management

• SHRM-CP certification

• Led successful recruitment campaigns resulting in 20% increase in staff retention

• Implemented employee wellness program resulting in 15% decrease in absenteeism
Answered by AI
Add your answer
Q2. Where you want to be next 5 years
Ans. 
In the next 5 years, I aim to advance to a leadership role within the HR department, further develop my skills through training and certifications, and contribute to the company's growth and success.
• Advance to a leadership role within the HR department

• Further develop skills through training and certifications

• Contribute to the company's growth and success
Answered by AI
Add your answer

Q1. What is naive in Naive Bayes?
Ans. 
Naive Bayes assumes independence between features, hence 'naive'.
• Naive Bayes assumes all features are independent of each other, which is often not true in real-world data.

• Despite its simplifying assumption, Naive Bayes is still widely used in text classification and spam filtering.

• The 'naive' assumption allows for fast and efficient classification, especially with large datasets.
Answered by AI
Add your answer
Q2. Probability questions
Add your answer