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MiQ Digital Interview Questions and Answers
11 Interview questions
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.
Gradient Descent is an optimization algorithm used to minimize the error of a model by adjusting its parameters iteratively.
Gradient Descent is used in machine learning to find the optimal parameters for a model by minimizing a cost function.
It works by calculating the gradient of the cost function at a given point and moving in the opposite direction to reach the minimum.
There are different variations of Gradient...
Outliers can be found using statistical methods such as z-score, IQR, or using machine learning algorithms like isolation forest.
Calculate z-score for each data point and consider points with z-score greater than 3 or less than -3 as outliers.
Use interquartile range (IQR) to identify outliers. Points outside the range of Q1 - 1.5*IQR and Q3 + 1.5*IQR are considered outliers.
Isolation Forest is a machine learning a...
The number of swaps required to sort an array using bubblesort
Bubble sort compares adjacent elements and swaps them if they are in the wrong order
Count the number of swaps required to sort the given array
The given array requires 19 swaps to be sorted using bubblesort
Given preorder and postorder traversal, find inorder traversal of a binary tree.
The last element of postorder traversal is the root of the tree
Find the root in preorder traversal and divide the tree into left and right subtrees
Recursively find the inorder traversal of left and right subtrees
Combine the inorder traversal of left subtree, root, and inorder traversal of right subtree
A binary tree with 4 internal nodes has 5 leaf nodes.
A binary tree with n internal nodes has n+1 leaf nodes.
A leaf node is a node with no children.
Count the number of leaf nodes to find the answer.
Recursive problem involving finding the factorial of a number.
Implement a recursive function to calculate the factorial of a number.
Base case: if n is 0 or 1, return 1.
Recursive case: return n * factorial(n-1).
Interview questions for Analyst II position on SQL, Tableau, and Guesstimate
SQL: finding duplicates, order of execution, rank and dense rank, running total
Tableau: live vs extract, scatter plot and box plot, IDR and outliers formula
Guesstimate: estimating number of flights taking off from an airport in a day
Parking lot design involves layout, capacity, accessibility, and efficiency.
Consider the layout of the parking lot to maximize space and ease of navigation.
Include designated spots for different types of vehicles (e.g. compact, electric, handicap).
Implement efficient traffic flow patterns to reduce congestion and improve safety.
Incorporate technology such as sensors or apps for real-time parking availability updat...
Execution of SQL involves writing and running queries to retrieve, manipulate, and manage data in a database.
Write SQL queries to retrieve specific data from database tables
Use SQL functions and operators to manipulate data
Execute SQL statements to update or delete records in database
Manage database schema by creating, altering, or dropping tables
Optimize SQL queries for better performance
MiQ Digital Interview Experiences
32 interviews found
Anonymous
I appeared for an interview in Sep 2024.
(2 Questions)
- Q1. Recursive problem
- Ans.
Recursive problem involving finding the factorial of a number.
Implement a recursive function to calculate the factorial of a number.
Base case: if n is 0 or 1, return 1.
Recursive case: return n * factorial(n-1).
- Q2. Parking lot design
- Ans.
Parking lot design involves layout, capacity, accessibility, and efficiency.
Consider the layout of the parking lot to maximize space and ease of navigation.
Include designated spots for different types of vehicles (e.g. compact, electric, handicap).
Implement efficient traffic flow patterns to reduce congestion and improve safety.
Incorporate technology such as sensors or apps for real-time parking availability updates.
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.
The test was easy, containing data interpretation questions
(2 Questions)
- Q1. Case study to evaluate my approach
- 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
Interview Preparation Tips
(3 Questions)
- Q1. Questions were on my resume
- Q2. And also questions more on SQL and python
- Q3. Asked have you worked on any dash boards
I applied via Naukri.com and was interviewed in Sep 2024. There were 3 interview rounds.
(2 Questions)
- Q1. About the previous roles and responsibilities
- Q2. Knowledge on skills to which they are looking for the role
(2 Questions)
- Q1. Questions on taxes
- Q2. Questions on excel
(2 Questions)
- 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
- 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
Interview Preparation Tips
- Taxation
(2 Questions)
- 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.
- Q2. Probability questions
Skills evaluated in this interview
gokul srinivasan
Two Medium DSA questions, then questions about react and springboot
Interview Preparation Tips
Questions on SQL excel and BI tools
Technical skills deep understanding
(1 Question)
- Q1. Execution of SQL
- Ans.
Execution of SQL involves writing and running queries to retrieve, manipulate, and manage data in a database.
Write SQL queries to retrieve specific data from database tables
Use SQL functions and operators to manipulate data
Execute SQL statements to update or delete records in database
Manage database schema by creating, altering, or dropping tables
Optimize SQL queries for better performance
(1 Question)
- Q1. Fitment round and cultural
Skills evaluated in this interview
Selected
(2 Questions)
- Q1. Prepare SQL and Pyspark well
- Q2. Prepare well on SQL Joins
(1 Question)
- Q1. Read about Programmatic advertising
Aptitude abd behavioural questions
Interview Preparation Tips
I applied via Job Portal
It was a virtual coding round with coding questions on Java fundamentals, Array, LinkedList
Questions on java fundamentals, some code snippets, Array
(1 Question)
- Q1. Behavioral round with discussion on previous experience and values
Selected
I applied via Referral and was interviewed before Jan 2024. There were 3 interview rounds.
Python and sql coding question basic mcqs on ML and Stats
(1 Question)
- Q1. Sql query question using window func, grouby, joins etc Python theory question on fuctions Statistics questions of distribution
(3 Questions)
- Q1. What do know about MIQ
- Q2. Why do you wanna join
- Ans.
I am passionate about using data to solve real-world problems and I believe this internship will provide me with valuable experience.
Passionate about using data to solve real-world problems
Seeking valuable experience in the field
Excited about the opportunity to learn and grow as a data scientist
- Q3. Questions on projects
Interview Preparation Tips
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