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I applied via Walk-in and was interviewed in Mar 2023. There were 2 interview rounds.
Sample rates refer to the number of samples per second in an audio file. Bit rate refers to the number of bits per second used to encode the audio. RMS is a measure of the average power of an audio signal.
Sample rates are typically measured in kHz (kilohertz) and can affect the quality of the audio.
Bit rate can affect the file size and the quality of the audio.
RMS stands for Root Mean Square and is a measure of the ave...
Sample rate is the number of samples per second, while bit depth is the number of bits used to represent each sample.
Sample rate determines the frequency range that can be captured, while bit depth determines the dynamic range of the recording.
Higher sample rates and bit depths result in higher quality recordings, but also larger file sizes.
CD quality audio has a sample rate of 44.1 kHz and a bit depth of 16 bits.
Profe...
30 questions and minimum mark required 9
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I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
The coding test comprised 10 multiple-choice questions covering topics such as Testing Techniques including Equivalence Partitioning, Boundary Value Analysis, Decision Tables, State Transition, and SQL.
posted on 10 Feb 2025
I was interviewed in Jan 2025.
Bad atmosphere and the bad behaviour of the person of the bank
posted on 31 Jan 2025
posted on 4 Dec 2024
3 coding que easy,med and hard
posted on 17 Feb 2025
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via campus placement at K J Somaiya College of Engineering, Mumbai and was interviewed in Sep 2024. There were 2 interview rounds.
They had given 10 MCQs questions based on OOPs(Java), 2 MCQs on SQL, 1 SQL Query to run and 1 DSA question to code based on Strings, so overall 14 question. Difficulty level was easy to Medium.
Sorting algorithms have different time complexities based on their implementation and efficiency.
Bubble Sort: O(n^2) - compares adjacent elements and swaps them if they are in the wrong order.
Merge Sort: O(n log n) - divides the array into two halves, sorts them, and then merges them.
Quick Sort: O(n log n) - picks a pivot element and partitions the array around the pivot.
Heap Sort: O(n log n) - builds a max heap and re...
Hashmaps and dictionaries are data structures used to store key-value pairs for efficient retrieval and storage.
Hashmaps and dictionaries are commonly used in programming to store and retrieve data based on a unique key.
They offer fast lookup times, typically O(1) on average, making them ideal for scenarios where quick access to data is required.
Examples of using hashmaps include storing user information with a unique ...
OOPs pillars are Abstraction, Encapsulation, Inheritance, and Polymorphism.
Abstraction: Hides complex implementation details and only shows necessary features. Example: Car dashboard displaying speed without showing internal engine details.
Encapsulation: Bundling data and methods that operate on the data into a single unit. Example: Class in Java encapsulates data members and member functions.
Inheritance: Allows a new ...
JOINS are used in SQL to combine rows from two or more tables based on a related column between them.
Inner Join: Returns rows when there is at least one match in both tables.
LEFT Join: Returns all rows from the left table, and the matched rows from the right table.
RIGHT Join: Returns all rows from the right table, and the matched rows from the left table.
FULL Join: Returns rows when there is a match in one of the table
Barclays is a global financial services company with a focus on innovation and technology.
Barclays is a leading global bank with a strong presence in the financial services industry.
Barclays is known for its commitment to innovation and technology in the financial sector.
Barclays offers a wide range of services including banking, investment management, and wealth management.
Barclays has a strong reputation for providin...
I manage stress by prioritizing tasks, breaking them down into smaller steps, and seeking help when needed.
Prioritize tasks based on deadlines and importance
Break down tasks into smaller, manageable steps
Seek help from team members or mentors when feeling overwhelmed
Practice time management and set realistic goals
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