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posted on 8 Oct 2024
I applied via LinkedIn and was interviewed in Sep 2024. There were 3 interview rounds.
Use LOD calculations to display top and bottom values in one sheet in Tableau.
Use Level of Detail (LOD) calculations to create separate calculated fields for top and bottom values.
Use these calculated fields in the same sheet to display both top and bottom values.
For example, create a calculated field for top values using {FIXED [Dimension]: MAX([Measure])} and another for bottom values using {FIXED [Dimension]: MIN([M
Parameters and filters are key features in Tableau for dynamic data analysis and visualization.
Parameters allow users to input values that can be used in calculations, filters, and reference lines.
Filters are used to limit the data displayed in a visualization based on specified criteria.
Parameters can be used to create dynamic filters that allow users to interact with the data in real-time.
Combining parameters and fil...
Types of LOD include Fixed, Include, and Exclude LOD calculations for different use cases.
Fixed LOD: Used to ignore the level of detail in the view and compute an aggregate value.
Include LOD: Used to compute an aggregate value at a higher level of detail than the view.
Exclude LOD: Used to compute an aggregate value at a lower level of detail than the view.
Tableau Prep is a data preparation tool that allows users to clean, combine, and shape data for analysis in Tableau.
Tableau Prep helps in cleaning and transforming data before visualizing it in Tableau Desktop.
It allows users to easily combine multiple data sources and perform data cleaning tasks like removing duplicates, splitting columns, and aggregating data.
Tableau Prep also provides a visual interface for creating...
Snowflake schema is a normalized form of Star schema with multiple levels of dimension tables.
Snowflake schema has normalized dimension tables, while Star schema has denormalized dimension tables.
Snowflake schema is more complex and requires more joins compared to Star schema.
Star schema is easier to understand and query, making it more suitable for smaller datasets.
Snowflake schema is more suitable for larger datasets
I applied via Campus Placement and was interviewed before Dec 2022. There were 4 interview rounds.
It consists of the Quant, LRDI, Verbal reasoning & Email Writing.
Effect of Social Media and Internet in our Daily Life
Was normal SQL query
I applied via Company Website and was interviewed in Sep 2024. There were 2 interview rounds.
In the next 5 years, I see myself advancing to a managerial role within the company, leading a team and contributing to the organization's growth.
Continuing to excel in my current role and taking on additional responsibilities
Participating in leadership development programs to enhance my skills
Building strong relationships with colleagues and mentors for guidance and support
Setting clear career goals and regularly revi
I expect my employer to provide opportunities for growth, a supportive work environment, fair compensation, and open communication.
Opportunities for professional development and advancement
A positive and inclusive work culture
Competitive salary and benefits
Transparent communication and feedback
Work-life balance support
I was interviewed before Feb 2024.
One hour allocated for the non-technical test.
I was interviewed before Mar 2024.
1 hour long, average questions, elimination round
1 hour long, 2 questions, you will qualify if you can solve one
I was interviewed in Jan 2025.
Request to provide an introduction using shorter sentences.
I was interviewed before Feb 2024.
based on 1 interview
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