RiskSense Interview Questions For Experience Automation Testers

Last Updated on: November 23, 2019 By Softwaretestingo Editorial Board

RiskSense Overview

website www.risksense.com
headquarters Sunnyvale, CA (US)
size 51 to 200 employees
founded 2015
type Private Company
industry Enterprise Software & Network Solutions
revenue Unknown
competitors Kenna Security

What We Are Learn On This Post

RiskSense Automation Interview Questions

Brief Description of you
Which framework you are using in your project
Explain BDD Cucumber
How will you input data in BDD?
How will you skip the feature file in Cucumber?
How will you handle AJAX in Cucumber BDD
Explain your BDD framework Structure
Which tool used for performance testing
What is API Testing

RiskSense Interview Questions

First round:

Difference between implicit and explicit wait
Parent and child traversal
How to read text from the dynamic tooltip
Frames and page refresh
Why is main method static
Difference between abstract class and interface
Can we override a static method
Use of implements
How to achieve multiple inheritances in Java
Which is good Soap or Rest?
In what format response of web services will be given.

Second Round:

Assignment: To automate a donut chart and a filter.

Third Round:

Code review

4th round:

About collection concepts used in the project
Difference between set and list
Why do you prefer an array list when you have an array
What is static in Java
Which one do you prefer static or non-static? Reason
Disadvantages of static
When do you prefer non-static
Explain final

5th round:

Managerial. More personal questions.

About RiskSense

At RiskSense, we’re striving to reduce cyber risk across the entire attack surface, using intelligence-driven risk analytics. It has a unique DNA, as the company was founded by real cybersecurity practitioners and not your typical entrepreneurs. We’re a spin-off of the New Mexico Institute of Mining and Technology and originally conducted research-as-a-service projects.

As part of a think tank that advised the U.S. Department of Defense and the U.S. Intelligence Community, we developed Computational Analysis of Cyber Terrorism Against the U.S. (CACTUS), Support Vectors Intrusion Detection, Behavior Risk Analysis of Vicious Executables (BRAVE), and the Strike Team Program.

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Over the years we realized that our findings and expertise could serve a broader set of customers. We productized our knowledge and created the RiskSense Platform which transforms cyber risk management into a more collaborative and real-time discipline across a growing attack surface.

This Platform employs human-interactive machine learning technology and embodies the expertise and intimate knowledge gained from real-world experience in defending critical networks from the world’s most dangerous cyber adversaries.

In today’s dynamic threat landscape, innovation is key. Since its inception, It has invested heavily in research, leading to a variety of patents that are part of the DNA of the RiskSense Platform. To stay ahead of cyber adversaries, RiskSense employs a deep bench of security researchers and collaborates via its Fellowship Program with leading IT and cybersecurity programs at New Mexico Tech, UC Riverside, and Carnegie Mellon University, among others.

RiskSense provides vulnerability prioritization and management to measure and control cybersecurity risk. The cloud-based RiskSense platform uses a foundation of risk-based scoring, analytics, and technology-accelerated pen testing to identify critical security weaknesses with corresponding remediation action plans, dramatically improving security and IT team efficiency and effectiveness.

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