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I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for collections of items that may change, tuple for fixed collections.
Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
Normalization in SQL is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalization involves breaking down data into smaller, more manageable tables.
It helps in reducing data redundancy by storing data in a structured way.
Normalization ensures data integrity by minimizing data anomalies.
There are different normal forms like 1NF, 2NF, 3NF, etc. to achieve database normaliza...
Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data. Machine learning is a subset of AI, while deep learning is a subset of machine learning. CNNs are used for image recognition, while RNNs are used for sequential data.
Supervised learning requires labeled data for training, where the model learns to map input data to output labels (e.g., classification or regression tasks...
Arrays are one-dimensional data structures, while dataframes are two-dimensional data structures used in data analysis.
Arrays are one-dimensional and can hold only one type of data, while dataframes are two-dimensional and can hold multiple types of data.
Dataframes are commonly used in data analysis with libraries like Pandas in Python, while arrays are more basic data structures.
Arrays are typically used for simple da...
I applied via Walk-in and was interviewed in Jan 2023. There were 4 interview rounds.
Giving assessment and asked about the assessment regarding question
I applied via Referral and was interviewed before Nov 2023. There were 3 interview rounds.
The core technical application basis assignments that check the conceptual knowledge and hands-on experience of an individual.
BM Infotrade interview questions for popular designations
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I was interviewed in Feb 2017.
posted on 3 May 2017
I was interviewed before May 2016.
I was interviewed in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes, which is 2 fishes.
To make the red fishes 98%, subtract 1% (2 fishes) from 99% (198 fishes).
To find the number of fishes to be removed, divide the difference by 1% (2 fishes).
Therefore, 50 fishes have to be removed to make the red fishes 98%.
I was interviewed in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes to find the number of red fishes.
Subtract the number of red fishes from 200 to find the number of non-red fishes.
Calculate 2% of the total number of fishes to find the desired number of red fishes.
Subtract the desired number of red fishes from the current number of red fishes to find the number of fishes to be removed.
posted on 28 Jun 2017
I was interviewed in Mar 2017.
To make the red fishes 98%, 50 fishes have to be removed from the aquarium.
Calculate 1% of 200 fishes to find out how many fishes represent 1%.
Multiply the result by 2 to find out how many fishes represent 2%.
Subtract the result from 200 to find out how many fishes represent 98%.
I was interviewed in Jul 2017.
Yes, I am a fresher with no past working experience.
I am a recent graduate looking to gain experience in the field.
I have completed internships or projects during my studies.
I am eager to learn and grow in a professional environment.
I was responsible for conducting market research, creating social media content, and assisting with event planning.
Conducted market research to identify trends and opportunities
Created engaging social media content to increase brand awareness
Assisted in planning and executing events to promote company products/services
I am a recent graduate with a degree in Computer Science and a passion for coding and problem-solving.
Recent graduate with a degree in Computer Science
Passionate about coding and problem-solving
Strong communication and teamwork skills
Experience with programming languages such as Java, Python, and C++
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