Common questions include explaining the difference between FIR and IIR filters, describing the FFT algorithm, discussing sampling theorem implications, explaining window functions' purpose, and describing approaches to reduce quantization noise in practical applications.

Technical skills include understanding of Fourier transforms, filter design principles, sampling theory, and programming in MATLAB/C. Soft skills encompass analytical thinking, problem-solving abilities, attention to detail, and effective communication of complex technical concepts.

Audio engineering teams use DSP for sound enhancement, telecommunications teams apply it for signal transmission, embedded systems teams implement it for real-time processing, research teams develop new algorithms, and automotive teams use it for sensor signal interpretation.

The report provides detailed scores for each DSP competency area, benchmark comparisons against industry standards, identification of specific knowledge gaps, performance metrics on problem-solving speed, and recommendations for skill development to enhance candidate capabilities.