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LatentView Analytics Interview Questions and Answers
25 Interview questions
Random forest decides variables based on feature importance and information gain.
Random forest calculates feature importance by measuring how much the tree nodes that use a particular feature reduce impurity.
Variables with higher feature importance are considered more important in making predictions.
Random forest also uses information gain to decide which variables to split on at each node in the trees.
The variabl...
UNION combines and removes duplicates, UNION ALL combines without removing duplicates.
UNION merges the results of two or more SELECT statements and removes duplicates.
UNION ALL merges the results of two or more SELECT statements without removing duplicates.
UNION is slower as it has to remove duplicates, while UNION ALL is faster.
Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;
Example: SELECT c...
Use SQL query with ORDER BY and LIMIT to find 2nd max number from a column in a table.
Use SELECT MAX(column_name) to find the max number in the column.
Use SELECT column_name FROM table_name ORDER BY column_name DESC LIMIT 1,1 to find the 2nd max number.
Example: SELECT column_name FROM table_name ORDER BY column_name DESC LIMIT 1,1;
Group employees by department with salary > 50,000 in SQL.
Use GROUP BY clause to group employees by department.
Use WHERE clause to filter employees with salary > 50,000.
Example: SELECT department, COUNT(employee_id) FROM employees WHERE salary > 50000 GROUP BY department;
Use SQL query to select employees with odd employee IDs.
Use the modulo operator (%) to check if employee ID is odd (e.g. id % 2 = 1)
Write SQL query like 'SELECT * FROM employees WHERE employee_id % 2 = 1;'
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
It involves collecting and organizing data
It includes statistical analysis and visualization
It helps in making informed decisions
Examples include market research, financial analysis, and scientific research
CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.
Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.
It is used in hypothesis testing, confidence intervals, and in estimating population parameters.
CLT is essential in making ...
ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.
Data cleaning: removing missing values, handling outliers, and dealing with duplicates
Data transformation: encoding categorical variables, scaling numerical features, and creating new features
Data organization: splitting data into training and testing ...
Latent view and analytics are essential for data-driven decision making. My best achievement is developing a predictive model for customer churn.
Latent view helps to uncover hidden patterns and insights in data that are not immediately apparent.
Analytics provides a systematic approach to analyzing data and extracting meaningful insights.
My best achievement is developing a predictive model for customer churn that h...
Answering questions related to SQL joins, lambda function in Python, and difference between tuples and lists.
There are four types of joins in SQL: inner join, left join, right join, and full outer join.
Lambda function is an anonymous function in Python that can take any number of arguments, but can only have one expression.
Tuples are immutable and ordered collections of elements, while lists are mutable and ordere...
LatentView Analytics Interview Experiences
63 interviews found
TADEPALLI SASIDHAR
Selected
I applied via Campus Placement
Gamification round Game gamification
Data analytics related topic
(1 Question)
- Q1. Data data data related
(1 Question)
- Q1. Case study related questions
(1 Question)
- Q1. Hr related questions culture fit questions
(1 Question)
- Q1. Supply chain related questions
Anonymous
(4 Questions)
- Q1. Components of Databricks
- Ans.
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
Databricks Workspace: Collaborative environment for data science and engineering teams.
Databricks Runtime: Optimized Apache Spark cluster for data processing.
Databricks Delta: Unified data management system for data lakes.
- Q2. How to read a json file
- Ans.
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
Use a programming language like Python, Java, or JavaScript to read the JSON file.
Import libraries like json in Python or json-simple in Java to parse the JSON data.
Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.
Access the data in the JSON fi...
- Q3. Second highest salary SQL
- Ans.
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.
Alternatively, use the LIMIT clause to select the second highest salary directly.
Make sure to handle cases where there may be ties for the highest salary.
- Q4. How to configure the spark while creating the cluster
- Ans.
Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
Specify the number of executors and executor memory
Set the number of cores per executor
Adjust the driver memory based on the application requirements
Configure shuffle partitions for efficient data processing
Enable dynamic allocation for better resource utilization
Anish Mukherjee
Selected
I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
(2 Questions)
- Q1. Alteryx Development Questions
- Q2. Alteryx Gallery Questions
(2 Questions)
- Q1. SQL based questions
- Q2. Logic based questions
(2 Questions)
- Q1. Situation based questions
- Q2. Questions related to company
Selected
I applied via Campus Placement
Normal Aptitude Test
Python or SQL coding round
pradeep reddy karra
(2 Questions)
- Q1. Write a query to obtain the third transaction of every user
- Ans.
Query to retrieve the third transaction of every user
Use a subquery to rank the transactions for each user
Filter the results to only include the third transaction for each user
- Q2. Write a query that outputs the name of the credit card and how many cards are issued in it's launch month
- Ans.
Query to output the name of credit card and number of cards issued in launch month
Use GROUP BY to group by launch month
Count the number of cards issued in each launch month
Select the name of the credit card and the count of cards issued
Skills evaluated in this interview
(2 Questions)
- Q1. Spark and airflow related questions
- Q2. AWS services and it's related questions
(1 Question)
- Q1. 2 Technical rounds questions on SQL and ML
4 SQL questions, complexity 7/10
(2 Questions)
- Q1. Previous projects
- Ans.
I worked on various projects involving data analysis, market research, and process optimization across different industries.
Conducted a market analysis project for a tech startup, identifying key trends and customer preferences.
Developed a predictive model for sales forecasting using historical data, improving accuracy by 20%.
Collaborated with cross-functional teams to streamline reporting processes, reducing time spen...
- Q2. In and around ML models
(2 Questions)
- Q1. Usual, simple behavioural
- Q2. Expected package
Mamta Priyadarshi
Aptitude test was easy, you can prepare it with online available resources
We were asked to complete few games which were related to logical thinking
It was a common topic and was 1 hour long
(1 Question)
- Q1. They asked basic sql question like joins, windows function, subqueries. Also they asked one guestimate and a case study. Guestimate- No. of IPhone stores in delhi Case study - How to increase the profit of...
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