Ford Technology Services India Interview Questions, Process, and Tips

Q1. WHat is the use of CONTACT Automatic General?
Ans. 
CONTACT Automatic General is used for automatic generalization of contacts in CAD software.
• Automatically generalizes contacts between different components in CAD designs

• Helps in ensuring proper fit and alignment of components

• Reduces manual effort in adjusting contacts between components

• Improves overall design efficiency and accuracy
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Q2. What are the material models in LS dyna?
Ans. 
Material models in LS Dyna are used to simulate the behavior of different materials under various loading conditions.
• Material models define how a material responds to stress, strain, temperature, and other factors.

• Examples of material models in LS Dyna include MAT_024 (linear elastic), MAT_024 (plasticity), MAT_024 (viscoelastic), MAT_024 (hyperelastic), etc.
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Q3. Other Contact models available in Dyna?
Ans. 
Some other contact models available in Dyna are penalty-based contact, kinematic contact, and contact stabilization.
• Penalty-based contact model is used for simulating contact between deformable bodies.

• Kinematic contact model is used for modeling contact between rigid bodies.

• Contact stabilization is used for improving the stability of contact simulations.
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Q1. What is the difference between stochastic gradient descent, batch gradient descent, and gradient descent?
Ans. 
Stochastic gradient descent, batch gradient descent, and gradient descent differ in the amount of data used to update the model weights.
• Gradient descent updates the model weights using the entire dataset in each iteration.

• Batch gradient descent updates the model weights using a subset of the dataset (batch) in each iteration.

• Stochastic gradient descent updates the model weights using only one data point at a time in ea...read more
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Q2. What are the parameters of a Large Language Model (LLM) and what are its use cases?
Ans. 
LLMs are large neural network models used for natural language processing tasks.
• Parameters include model size, number of layers, attention mechanisms, and training data size.

• Use cases include text generation, translation, summarization, and sentiment analysis.

• Examples of LLMs are GPT-3, BERT, and XLNet.
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The coding round lasted 90 minutes and included two questions: 1. Rotate a matrix by 90 degrees; 2. Multiply two integers without converting them from the string format to integers.

It will be conducted through Hiring platform

Shortisted candidates could get a mail and this round will be conducted through Hiring platform . There will be 2 coding questions and you need to solve them and all the test cases should get passed to get selected for the next round

Q1. Technical questions related to the technologies that were mentioned in our resume
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Q1. General questions on managing the tasks and reallocation related questions
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