Me postulé a través de una facultad o universidad. El proceso tomó 2 días. Acudí a una entrevista en Adobe (Bengaluru)
Entrevista
round 1: it consist of mcq from domain related core subjects plus some programming related to sql, php,react etc.
round 2: tech round with multiple person in panel
round 3: hr round (although i didn't qualify for this round)
Preguntas de entrevista [1]
Pregunta 1
to check if given strings are anagram to each other or not?
Me postulé en línea. Acudí a una entrevista en Adobe (Utah, IL)
Entrevista
The screening and interview process was very well-structured, smooth, and engaging. The interviewers were professional yet approachable, making the overall experience positive and encouraging. A strong impression I carried forward is that staying confident, authentic, and well-prepared plays a huge role in succeeding.
Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Adobe (Noida) en ago 2024
Entrevista
First round was HR where I was asked questions related to my previous projects, tools that I have used in the past, what kind of clients I have worked in the past and expected compensation.
Second round was Assessment round on Python framework to solve queries based on CSV files.
Third round was Technical interview with Team lead where I was asked questions on Power BI, no questions asked on assessment.
Rejection after the technical round as I was unable to answer a question related to scheduling reports in Power BI. Also, interviewer focused more on what size of files I have worked in the past and what are the DAX functions I have used in previous projects. I think they needed a person who had ample experience with Power BI reports.
Preguntas de entrevista [1]
Pregunta 1
2 CSV files were given to answer the queries in Python. I used Jupyter notebook to load the csv files.
1) Read the files, create data frames, change datatype, merge two tables in Python
2) group by function to find top 2 departments with highest number of students
3) Size of files used in Power BI with number of records
4) Covert column values to lower, trim the space in columns
5) Scheduling reports that need to be published, data source updates
