NTT Data Network Security Engineer Interview Questions and Answers

TCP IP Header contains information such as source and destination IP addresses, port numbers, sequence numbers, and more.

• Source IP address

• Destination IP address

• Source port number

• Destination port number

• Sequence number

• Acknowledgment number

• Header length

• Checksum

App ID in Palo Alto Firewalls is a feature that identifies applications on the network based on various parameters.

• App ID uses multiple methods to identify applications, including port-based, protocol-based, and application signature-based identification.

• It allows administrators to create policies based on specific applications rather than just ports or protocols.

• App ID helps in enhancing security by allowing granular ...read more

SP3 Architecture of Palo Alto Firewalls refers to Security Processing Plane, Control Plane, and Data Plane.

• SP3 Architecture consists of Security Processing Plane (SP), Control Plane (C), and Data Plane (D)

• Security Processing Plane (SP) handles security functions like threat prevention and decryption

• Control Plane (C) manages routing and firewall policies

• Data Plane (D) processes and forwards traffic based on firewall pol...read more

I am a dedicated Network Security Engineer with 5+ years of experience in designing and implementing secure network solutions.

• Experienced in firewall configuration and management

• Skilled in intrusion detection and prevention systems

• Proficient in network monitoring and analysis

• Certified in network security (e.g. CISSP, CCNA Security)

In 5 years, I see myself as a senior Network Security Engineer leading a team of professionals and implementing cutting-edge security solutions.

• Leading a team of network security professionals

• Implementing advanced security solutions

• Continuing professional development and certifications

• Contributing to the organization's strategic security initiatives

Developed a network intrusion detection system using machine learning algorithms.

• Researched various machine learning algorithms suitable for network security

• Implemented a prototype using Python and scikit-learn library

• Tested the system on a simulated network environment

• Achieved an accuracy rate of 90% in detecting malicious network traffic