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10+ Hindustan Unilever Interview Questions and Answers

Updated 6 Sep 2024

Q1. Probability of extinction of an amoeba which has has equal chances of the following happening every minute: 1. Death 2. Idling 3.Splitting into 2 4.Splitting into 3

Ans.

The probability of extinction of an amoeba with equal chances of death, idling, splitting into 2, and splitting into 3.

  • Calculate the probability of each event happening in a minute

  • Calculate the probability of the amoeba surviving in a minute

  • Calculate the probability of the amoeba surviving after n minutes

  • Use probability theory to determine the overall probability of extinction

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Q2. Write DAX to calculate some values.

Ans.

Calculating values using DAX in Power BI

  • Use SUMX function to calculate sum of values in a column

  • Use CALCULATE function to apply filters and conditions to calculations

  • Use DAX measures to create reusable calculations

  • Example: Calculate total sales for a specific product category

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Q3. How to handle large datasets.

Ans.

Handling large datasets involves optimizing storage, processing, and analysis techniques.

  • Use distributed computing frameworks like Hadoop or Spark to process data in parallel.

  • Utilize data compression techniques to reduce storage requirements.

  • Implement indexing and partitioning strategies to improve query performance.

  • Consider using cloud-based storage and computing resources for scalability.

  • Use sampling techniques to work with subsets of data for initial analysis.

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Q4. How to use parameters.

Ans.

Parameters are variables that can be passed into a function or procedure to customize its behavior.

  • Parameters are defined when creating a function or procedure.

  • They can be used to pass values into the function or procedure.

  • Parameters can be required or optional, with default values specified.

  • They help make functions more flexible and reusable.

  • Example: def calculate_area(length, width):

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Q5. Create data model and visualizations.

Ans.

Creating data model and visualizations involves structuring data and presenting it visually.

  • Identify the key variables and relationships in the data

  • Design a data model that represents the data structure

  • Select appropriate visualization tools and techniques

  • Create visualizations such as charts, graphs, and dashboards

  • Ensure the visualizations effectively communicate insights from the data

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Q6. Power BI optimization techniques.

Ans.

Power BI optimization techniques involve data model optimization, query optimization, and report design best practices.

  • Optimize data model by removing unnecessary columns and relationships

  • Use query folding to push data transformation tasks to the data source

  • Avoid using calculated columns and instead use measures for calculations

  • Limit the use of visuals that require high computational resources

  • Use aggregations and composite models for large datasets

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Q7. Find the longest palindrome in the given string:?

Ans.

The longest palindrome in a given string is the longest sequence of characters that reads the same forwards and backwards.

  • Iterate through each character in the string

  • For each character, expand outwards to find the longest palindrome centered at that character

  • Keep track of the longest palindrome found so far

  • Return the longest palindrome

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Q8. print the pattern as shown Below

Ans.

Print a pattern as shown below.

  • Use nested loops to iterate through rows and columns.

  • Use conditional statements to determine the pattern to be printed.

  • Store each row as a string in an array of strings.

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Q9. Finding probability of a point making an obtuse angle inside a trapezium with one side.

Ans.

Probability of a point making an obtuse angle inside a trapezium with one side.

  • The point must lie inside the trapezium.

  • The trapezium must have one side that is not parallel to the other.

  • Use trigonometry to calculate the angles of the trapezium.

  • Calculate the probability of the point making an obtuse angle using the angles of the trapezium.

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Q10. joins in python

Ans.

Joins in Python are used to combine data from two or more tables based on a related column between them.

  • Joins are used in SQL to combine rows from two or more tables based on a related column between them.

  • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

  • In Python, joins can be performed using libraries like pandas or SQLalchemy.

  • Example: df_merged = pd.merge(df1, df2, on='common_column', how='inner')

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