AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
Filter interviews by
LatentView Analytics Interview Questions and Answers
32 Interview questions
Handling missing data involves various techniques to ensure data integrity and analysis accuracy.
1. Remove missing data: If the missing data is minimal, consider removing those records. For example, if only 5% of rows have missing values, it may not significantly impact analysis.
2. Imputation: Replace missing values with statistical measures like mean, median, or mode. For instance, if a column has missing age val...
INNER JOIN returns matching rows from both tables, while LEFT JOIN returns all rows from the left table and matched rows from the right.
INNER JOIN only returns rows where there is a match in both tables.
LEFT JOIN returns all rows from the left table, even if there are no matches in the right table.
Example of INNER JOIN: SELECT * FROM A INNER JOIN B ON A.id = B.id; returns only rows with matching IDs.
Example of LEF...
I simplify complex models using relatable analogies, visuals, and clear language to ensure understanding by non-technical stakeholders.
Use analogies: Compare the model to everyday concepts, like explaining a decision tree as a flowchart for choosing a restaurant.
Visual aids: Present graphs or charts that illustrate key findings, making it easier to grasp trends and insights.
Break it down: Divide the model into sma...
I would use simple language, relatable analogies, and visual aids to clarify complex models for non-technical stakeholders.
Use analogies: Compare the model to everyday concepts, like explaining a data model as a recipe that combines ingredients (data) to create a dish (insight).
Visual aids: Utilize charts and graphs to illustrate trends and outcomes, making it easier to grasp the model's implications.
Break it down...
What people are saying about LatentView Analytics
INNER JOIN returns matching rows from both tables, while LEFT JOIN returns all rows from the left table and matched rows from the right.
INNER JOIN only includes rows where there is a match in both tables.
LEFT JOIN includes all rows from the left table, even if there are no matches in the right table.
Example of INNER JOIN: SELECT * FROM A INNER JOIN B ON A.id = B.a_id; returns only matching records.
Example of LEFT ...
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 JS...
LatentView Analytics HR Interview Questions
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
Approximately 1.5-2 million cars are sold in Delhi annually.
Consider population of Delhi (approx. 20 million)
Assume car ownership rate (approx. 10%)
Factor in replacement rate and new buyers
A self join in SQL allows a table to be joined with itself to compare rows within the same table.
Self joins are useful for hierarchical data, like employee-manager relationships.
Example: SELECT a.EmployeeID, a.Name, b.Name AS ManagerName FROM Employees a JOIN Employees b ON a.ManagerID = b.EmployeeID;
You can use aliases to differentiate between the two instances of the same table.
Self joins can also be used to fin...
Faced a performance issue in a React Native app due to heavy data processing, resolved by optimizing state management and using memoization.
Identified performance lag during data rendering in a list component.
Used React's useMemo and useCallback hooks to optimize rendering.
Implemented pagination to load data in chunks instead of all at once.
Refactored state management to use Redux for better performance.
Conducted ...
LatentView Analytics Interview Experiences
68 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
Anne Anita Beaula P
I appeared for an interview in Jul 2025, where I was asked the following questions.
- Q1. Why is the difference between INNER JOIN and LEFT JOIN in SQL?
- Ans.
INNER JOIN returns matching rows from both tables, while LEFT JOIN returns all rows from the left table and matched rows from the right.
INNER JOIN only returns rows where there is a match in both tables.
LEFT JOIN returns all rows from the left table, even if there are no matches in the right table.
Example of INNER JOIN: SELECT * FROM A INNER JOIN B ON A.id = B.id; returns only rows with matching IDs.
Example of LEFT JOI...
- Q2. How would you explain a complex or model to a non technical stateholder?
- Ans.
I simplify complex models using relatable analogies, visuals, and clear language to ensure understanding by non-technical stakeholders.
Use analogies: Compare the model to everyday concepts, like explaining a decision tree as a flowchart for choosing a restaurant.
Visual aids: Present graphs or charts that illustrate key findings, making it easier to grasp trends and insights.
Break it down: Divide the model into smaller ...
- Q3. How would you handle missing data to a dataset
- Ans.
Handling missing data involves various techniques to ensure data integrity and analysis accuracy.
1. Remove missing data: If the missing data is minimal, consider removing those records. For example, if only 5% of rows have missing values, it may not significantly impact analysis.
2. Imputation: Replace missing values with statistical measures like mean, median, or mode. For instance, if a column has missing age values, ...
Skills evaluated in this interview
- Q1. Data optimization, rfp
- Q2. Pyspark coding,
Interview Preparation Tips
bloody sweet Siva
- Q1. How would you handle missing data in a dataset?
- Q2. What is the difference between INNER JOIN and LEFT JOIN in SQL?
- Ans.
INNER JOIN returns matching rows from both tables, while LEFT JOIN returns all rows from the left table and matched rows from the right.
INNER JOIN only includes rows where there is a match in both tables.
LEFT JOIN includes all rows from the left table, even if there are no matches in the right table.
Example of INNER JOIN: SELECT * FROM A INNER JOIN B ON A.id = B.a_id; returns only matching records.
Example of LEFT JOIN:...
- Q3. How would you explain a complex or model to a non-technical stakeholder?
- Ans.
I would use simple language, relatable analogies, and visual aids to clarify complex models for non-technical stakeholders.
Use analogies: Compare the model to everyday concepts, like explaining a data model as a recipe that combines ingredients (data) to create a dish (insight).
Visual aids: Utilize charts and graphs to illustrate trends and outcomes, making it easier to grasp the model's implications.
Break it down: Sim...
I appeared for an interview in Jun 2025, where I was asked the following questions.
- Q1. Sql questions was asked coding
- Q2. Scenario based questions like incremental load
Interview Preparation Tips
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
- Ans.
Faced a performance issue in a React Native app due to heavy data processing, resolved by optimizing state management and using memoization.
Identified performance lag during data rendering in a list component.
Used React's useMemo and useCallback hooks to optimize rendering.
Implemented pagination to load data in chunks instead of all at once.
Refactored state management to use Redux for better performance.
Conducted thoro...
- 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
LatentView Analytics Interview FAQs
Some of the top questions asked at the LatentView Analytics interview -
The duration of LatentView Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.
Tell us how to improve this page.
LatentView Analytics Interviews By Designations
- LatentView Analytics Data Analyst Interview Questions
- LatentView Analytics Analyst Interview Questions
- LatentView Analytics Senior Analyst Interview Questions
- LatentView Analytics Data Engineer Interview Questions
- LatentView Analytics Senior Data Engineer Interview Questions
- LatentView Analytics Software Developer Interview Questions
- LatentView Analytics Business Analyst Interview Questions
- LatentView Analytics Senior Data Analyst Interview Questions
- Show more
Interview Questions for Popular Designations
Overall Interview Experience Rating
based on 58 interview experiences
Difficulty level
Duration
Interview Questions from Similar Companies
LatentView Analytics Reviews and Ratings
based on 271 reviews
Rating in categories
|
Senior Analyst
391
salaries
|  ₹11.4 L/yr - ₹20.9 L/yr |
|
Data Analyst
306
salaries
| ₹4.5 L/yr - ₹10.2 L/yr |
|
Assistant Manager
286
salaries
| ₹17.5 L/yr - ₹32 L/yr |
|
Analyst
248
salaries
| ₹4.8 L/yr - ₹10.4 L/yr |
|
Data Engineer
124
salaries
| ₹5 L/yr - ₹11.5 L/yr |
Damco Solutions
smartData Enterprises
In Time Tec Visionsoft
AgreeYa Solutions
- Home >
- Interviews >
- LatentView Analytics Interview Questions
