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I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
SAP SuccessFactors Recruiting module is highly effective in streamlining recruitment processes.
The module offers a user-friendly interface for recruiters and candidates.
It allows for easy job posting and candidate tracking.
The module also offers advanced analytics and reporting capabilities.
Integration with other SuccessFactors modules ensures a seamless HR process.
Customizable workflows and templates make the recruitm
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I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
On python and sql coding.they ask simple to complex questions
I applied via Naukri.com and was interviewed before Mar 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed before Dec 2021. There were 4 interview rounds.
posted on 17 Sep 2022
I applied via Naukri.com and was interviewed before Sep 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2021. There were 3 interview rounds.
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
Moderate difficult with business reasoning
I applied via Naukri.com and was interviewed before Apr 2023. There were 3 interview rounds.
I applied via campus placement at Indian Institute of Management (IIM), Indore and was interviewed in Feb 2023. There were 2 interview rounds.
Tuples are immutable sequences of elements. A string can be converted to a tuple using the tuple() function.
Tuples are similar to lists but are immutable
Elements of a tuple are enclosed in parentheses ()
A string can be converted to a tuple using the tuple() function
Each character in the string becomes an element in the tuple
Left join is a type of join operation in SQL that returns all the rows from the left table and matching rows from the right table.
Left join is performed using the 'left join' keyword in SQL
In Python, left join can be performed using the 'merge' function from the pandas library
Syntax: pd.merge(left_dataframe, right_dataframe, how='left', on='key_column')
Example: pd.merge(df1, df2, how='left', on='id')
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