LatentView Analytics Interview Questions, Process, and Tips

There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test

The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.

Q1. Tell me about yourself
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Q2. What is Data Analysis?
Ans. 
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
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Q3. SQL Queries using Joins and sub-queries
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SQL Queries using Joins and sub-queries
• Joins are used to combine rows from different tables based on a related column

• Sub-queries are queries nested within another query

• Joins and sub-queries can be used together to retrieve specific data from multiple tables
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Q4. Many questions about projects mentioned in the resume.
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Q5. Estimation and probability questions were asked to see the way you approach a question logically.
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Q1. Tell me about Yourself
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Q2. Again Questions based on resumes
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Q3. Some Regular HR Questions like why latent view, where to do you yourself in 5 years.....etc.
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Q4. Any questions for me?
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Gamification round Game gamification

Data analytics related topic

Q1. Data data data related
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Q1. Case study related questions
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Q1. Hr related questions culture fit questions
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Q1. Supply chain related questions
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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.
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Q2. How to read a json file
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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...read more
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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.
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Q4. How to configure the spark while creating the cluster
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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
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Q1. Alteryx Development Questions
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Q2. Alteryx Gallery Questions
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