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10+ Fractal Analytics Consultant Interview Questions and Answers

Updated 29 Oct 2024

Q1. What is adstock, decay, Due tos Contributions? How do you evaluate the model? What is seasonality and the formula for seasonality? Do seasonality have any contribution?

Ans.

Explanation of adstock, decay, Due tos Contributions, seasonality and its formula.

  • Adstock is the measure of the lasting impact of advertising on consumer behavior.

  • Decay refers to the reduction in the effectiveness of advertising over time.

  • Due tos Contributions is the attribution of sales to different marketing channels.

  • Seasonality is the pattern of sales or other metrics that repeat over a fixed period of time.

  • The formula for seasonality is (Value in Period / Average Value of...read more

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Q2. How can you derive (%share) in power bi

Ans.

To derive % share in Power BI, use the 'Group By' function and create a measure using the 'Divide' function.

  • Use the 'Group By' function to group the data by the desired category

  • Create a measure using the 'Divide' function to calculate the percentage share

  • Add the measure to a visual to display the % share

  • Example: = DIVIDE(SUM(Sales[Revenue]), CALCULATE(SUM(Sales[Revenue]), ALL(Sales)))

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Q3. How much you know about fractal

Ans.

Fractals are complex geometric shapes that can be split into parts, each of which is a reduced-scale copy of the whole.

  • Fractals exhibit self-similarity, meaning they look similar at any scale or magnification.

  • Examples of fractals include the Mandelbrot set, Koch snowflake, and Sierpinski triangle.

  • Fractals are used in various fields such as mathematics, computer graphics, and art.

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Q4. write SQL queries for given scenario

Ans.

Writing SQL queries for a given scenario

  • Use SELECT statement to retrieve data from tables

  • Use WHERE clause to filter data based on specific conditions

  • Use JOIN clause to combine data from multiple tables

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Discover Fractal Analytics interview dos and don'ts from real experiences

Q5. sum and sumx in power bi

Ans.

Sum and SumX are DAX functions used in Power BI to calculate the sum of values in a column or table.

  • Sum calculates the sum of values in a column or table.

  • SumX calculates the sum of an expression evaluated for each row in a table.

  • Both functions can be used in measures and calculated columns.

  • Example: Sum(Sales[Revenue]) calculates the total revenue for the Sales table.

  • Example: SumX(Orders, [Quantity]*[Price]) calculates the total sales for each order in the Orders table.

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Q6. What are the scopes of GA3

Ans.

GA3 is a plant hormone that regulates various growth processes in plants.

  • Regulates seed germination

  • Promotes stem elongation

  • Influences flowering and fruit development

  • Used in agriculture to increase crop yield

  • Can be applied externally to plants to induce growth responses

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Q7. Reason to switch

Ans.

Seeking new challenges and opportunities for growth

  • Desire to work on more diverse projects

  • Opportunity for career advancement

  • Seeking a better work-life balance

  • Interested in learning new skills or technologies

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Q8. What is a data layer

Ans.

A data layer is a software component that separates the data access logic from the business logic in an application.

  • It acts as an intermediary between the database and the application's business logic

  • Helps in managing data access, storage, and retrieval

  • Improves scalability and maintainability of the application

  • Examples include ORM frameworks like Hibernate in Java or Entity Framework in .NET

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Q9. SQL query on 2nd largest

Ans.

Use a subquery to find the 2nd largest value in a SQL table.

  • Use a subquery to find the maximum value in the table

  • Exclude the maximum value from the results to find the 2nd largest value

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Q10. Handling Jsons in python

Ans.

Python provides built-in libraries like json to handle JSON data easily.

  • Use json module to load and parse JSON data

  • Use json.dumps() to convert Python objects into JSON strings

  • Use json.loads() to convert JSON strings into Python objects

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Interview Process at Fractal Analytics Consultant

based on 14 interviews
5 Interview rounds
Technical Round - 1
Technical Round - 2
HR Round - 1
HR Round - 2
Personal Interview1 Round
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