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10+ HDFC Bank Interview Questions and Answers

Updated 12 Sep 2024

Q1. In smart watch which sensor is used to measurement of pulse

Ans.

The sensor used to measure pulse in a smart watch is called a photoplethysmography (PPG) sensor.

  • Photoplethysmography (PPG) sensor is used in smart watches to measure pulse

  • PPG sensor measures changes in blood volume by shining light into the skin and detecting the amount of light absorbed

  • The sensor can be found on the back of the smart watch, usually in contact with the skin

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Q2. Difference between Microcontroller and microprocessor

Ans.

Microcontroller is a single integrated circuit that contains a processor core, memory, and programmable input/output peripherals, while a microprocessor is just the processor core.

  • Microcontroller is a self-contained system with memory, I/O peripherals, and a processor core on a single chip.

  • Microprocessor is just the central processing unit (CPU) and requires external components for memory and I/O operations.

  • Microcontrollers are commonly used in embedded systems like washing m...read more

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Q3. Difference between LCD and LED

Ans.

LCD uses liquid crystals to produce images, while LED uses light-emitting diodes for backlighting.

  • LCD stands for Liquid Crystal Display, while LED stands for Light-Emitting Diode.

  • LCD screens require a separate light source for illumination, while LED screens have built-in backlighting.

  • LED screens are generally more energy-efficient and produce brighter images compared to LCD screens.

  • Examples: LCD TVs, LED monitors.

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Q4. Full form of HDMI cable

Ans.

High Definition Multimedia Interface

  • Stands for High Definition Multimedia Interface

  • Used to transmit high-quality audio and video signals

  • Commonly used to connect devices like TVs, monitors, and projectors

  • Supports resolutions up to 4K and beyond

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Q5. Uses of HDMI cable

Ans.

HDMI cable is used to transmit high-quality audio and video signals from one device to another.

  • Connects devices such as TVs, monitors, projectors, and gaming consoles

  • Supports high-definition video and audio

  • Eliminates the need for multiple cables for audio and video connections

  • Used in home entertainment systems, conference rooms, and gaming setups

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Q6. Do you have any machine learning experience

Ans.

Yes, I have experience with machine learning through coursework and personal projects.

  • Completed coursework in machine learning algorithms

  • Developed a recommendation system using collaborative filtering

  • Utilized neural networks for image classification tasks

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Q7. Explain what are GANs?

Ans.

GANs are Generative Adversarial Networks, a type of deep learning model consisting of two neural networks - a generator and a discriminator.

  • GANs are used to generate new data samples that resemble a given dataset.

  • The generator network creates fake data samples, while the discriminator network tries to distinguish between real and fake samples.

  • The two networks are trained simultaneously in a competitive manner, improving each other's performance.

  • GANs have applications in image...read more

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Q8. Probability of bit error in a binary symmetric channel

Ans.

The probability of bit error in a binary symmetric channel can be calculated using the formula P = 1/2 * erfc(sqrt(Eb/N0)), where erfc is the complementary error function.

  • Probability of bit error in a binary symmetric channel is influenced by the signal-to-noise ratio (Eb/N0).

  • The error function erfc is used to calculate the probability of bit error.

  • The formula for calculating the probability of bit error is P = 1/2 * erfc(sqrt(Eb/N0)).

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Q9. Explain working of Neural networks?

Ans.

Neural networks are a type of machine learning algorithm inspired by the human brain's neural structure.

  • Neural networks consist of layers of interconnected nodes (neurons) that process input data and pass it through activation functions.

  • They use weights to adjust the strength of connections between neurons during training.

  • Neural networks are capable of learning complex patterns and relationships in data, making them suitable for tasks like image recognition and natural langua...read more

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Q10. Any Research Paper published?

Ans.

Yes, I have published a research paper on the topic of machine learning algorithms for predictive analytics.

  • Published research paper on machine learning algorithms

  • Focused on predictive analytics

  • Presented findings at a data science conference

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