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Haier Appliances India
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There are 30 mcq question and time for 25 minutes
An array is a data structure that stores a collection of elements of the same type. Polymorphism is the ability of an object to take on many forms.
An array is a container that can hold multiple values of the same data type.
Polymorphism allows objects to be treated as instances of their parent class, enabling flexibility in programming.
Example: string[] names = {"Alice", "Bob", "Charlie"};
Example: Animal myAnimal = new
A wire harness is a collection of wires, cables, and connectors that transmit electrical signals and power between different components in a system.
Wire harnesses provide a neat and organized way to route and protect wires in a system.
They ensure proper connectivity and prevent wire damage or short circuits.
Wire harnesses simplify troubleshooting and maintenance by allowing easy identification and replacement of faulty...
Sputtering is a process used in manufacturing to deposit thin films of material onto a surface.
Sputtering is a physical vapor deposition technique.
It involves bombarding a target material with high-energy ions or atoms.
This bombardment dislodges atoms from the target material, which then deposit onto a substrate.
Sputtering is commonly used in the production of semiconductor devices, solar cells, and thin film coatings.
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I applied via Walk-in and was interviewed before Feb 2021. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Feb 2021. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Dec 2019. There were 5 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2022. There were 2 interview rounds.
K-means algorithm is a clustering algorithm that partitions data into k clusters based on similarity.
Iteratively assigns data points to the nearest cluster centroid
Calculates new centroids based on the mean of data points in each cluster
Repeats until centroids no longer change significantly
Used in data mining, image segmentation, and customer segmentation
I followed a systematic approach for data preprocessing including data cleaning, normalization, encoding, and feature scaling.
Performed data cleaning to handle missing values and outliers
Normalized numerical features to bring them to a similar scale
Encoded categorical variables using techniques like one-hot encoding
Applied feature scaling to ensure all features contribute equally to the model
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