Continental Automotive Components Interview Questions, Process, and Tips

Pictorial and graphical questions

Q1. Oops and coding questions along with Data structures
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Q1. What is Kalman filter?
Ans. 
Kalman filter is a recursive algorithm used to estimate the state of a linear dynamic system from a series of noisy measurements.
• Kalman filter combines predictions from a dynamic model with measurements to provide accurate estimates of the system's state.

• It is widely used in various fields such as navigation, control systems, and signal processing.

• Kalman filter is particularly useful when dealing with systems that have
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Q1. Background info
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Q1. Salary negotiation
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Tell me about yourself

Q1. Describe a time you disagreed with a teammate or supervisor
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Basic embedded coding problem

Q1. Autosar related questions
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Q2. Diagnostic stack related questions
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Q3. UDS , OBD protocols
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Q1. Self intro , few behavioural questions
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Q1. Find lowest and highest number in an array. Optimize the code
Ans. 
Find lowest and highest number in an array efficiently
• Use a loop to iterate through the array and keep track of the lowest and highest numbers

• Initialize variables for lowest and highest numbers with the first element of the array

• Compare each element with the current lowest and highest numbers and update accordingly
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Q1. UDS protocols and NRCs, DCM configuration
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Q1. Why Continental
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