Dignizant Technologies Interview Questions, Process, and Tips

Q1. Software relate
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Q2. What is diffrent maya and blender
Ans. 
Maya and Blender are both 3D modeling software, but Maya is more commonly used in professional settings while Blender is open-source and free.
• Maya is more commonly used in professional settings due to its advanced features and industry recognition.

• Blender is open-source and free, making it more accessible to beginners and hobbyists.

• Maya has a steeper learning curve compared to Blender.

• Blender has a more active online c...read more
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Q3. Are you know about unity and unreal engin
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Q4. Are you use unity
Ans. 
Yes, I use Unity for creating 3D art and animations.
• I use Unity for creating 3D models, animations, and visual effects.

• Unity provides a user-friendly interface and powerful tools for 3D artists.

• I have experience with Unity's lighting and shading features to enhance the visual quality of my work.
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Q5. Are you using unreal engin ?
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Yes, I am using Unreal Engine for my 3D projects.
• I use Unreal Engine for creating realistic environments and characters.

• Unreal Engine offers powerful tools for creating interactive experiences.

• I have experience with Unreal Engine's Blueprint visual scripting system.
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Q6. Tell me about your self
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Q1. Basic flutter question
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Q1. What is K-means clustering and how does it work?
Ans. 
K-means clustering is an unsupervised machine learning algorithm that partitions data into K distinct clusters based on feature similarity.
• K-means initializes K centroids randomly from the data points.

• Each data point is assigned to the nearest centroid, forming K clusters.

• Centroids are recalculated as the mean of all points in each cluster.

• The process of assignment and centroid recalculation repeats until convergence.

• E...read more
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Q2. What is the difference between Long Short-Term Memory (LSTM) networks and Recurrent Neural Networks (RNN)?
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LSTMs are a type of RNN designed to overcome the vanishing gradient problem, enabling better long-term dependency learning.
• LSTMs have memory cells that store information over long periods, while RNNs can forget information quickly.

• LSTMs use gates (input, output, forget) to control the flow of information, whereas RNNs lack this mechanism.

• RNNs can struggle with long sequences due to vanishing gradients, while LSTMs are ...read more
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Q1. All react and javascript
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