TRUSTWORTHY SECURE-SOFTWARE-DESIGN EXAM TORRENT, EXAM SECURE-SOFTWARE-DESIGN GUIDE

Trustworthy Secure-Software-Design Exam Torrent, Exam Secure-Software-Design Guide

Trustworthy Secure-Software-Design Exam Torrent, Exam Secure-Software-Design Guide

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WGUSecure Software Design (KEO1) Exam Sample Questions (Q112-Q117):

NEW QUESTION # 112
During fuzz testing of the new product, an exception was thrown on the order entry view, which caused a full stack dump to be displayed in the browser window that included function names from the source code.
How should existing security controls be adjusted to prevent this in the future?

  • A. Ensure sensitive information is scrubbed from all error messages
  • B. Ensure private information is not logged
  • C. Ensure all exceptions are handled in a standardized way
  • D. Ensure privileges are restored after application exceptions

Answer: C


NEW QUESTION # 113
What refers to the review of software source code by developers other than the original coders to try to identify oversights, mistakes, assumptions, a lack of knowledge, or even experience?

  • A. User acceptance testing
  • B. Fault injection
  • C. Dynamic code review
  • D. Manual peer review

Answer: D

Explanation:
Manual peer review refers to the systematic examination of software source code by developers other than the original author. This practice is recognized as a valuable tool for reducing software defects and improving the quality of software projects. It involves developers inspecting the code to find and fix mistakes overlooked in the initial development phase, which enhances both the overall quality of software and the developers' skills.
Peer code review is less formal and more "lightweight" than the code inspections performed in the past, and it provides benefits such as knowledge transfer, increased team awareness, and creation of alternative solutions to problems.
References:
* Expectations, Outcomes, and Challenges Of Modern Code Review1
* Introduction to Software Engineering/Quality/Code Review2
* Software Security during Modern Code Review: The Developer's Perspective3


NEW QUESTION # 114
Which software-testing technique can be automated or semi-automated and provides invalid, unexpected, or random data to the inputs of a computer software program?

  • A. Fuzzing
  • B. Dynamic analysis
  • C. Static analysis
  • D. Bugtraq

Answer: A

Explanation:
Fuzzing is an automated or semi-automated software testing technique that involves providing invalid, unexpected, or random data to the inputs of a computer program1. This process is designed to uncover coding errors, security vulnerabilities, and other potential issues within the software by observing how it behaves under unexpected or malformed inputs. Fuzzing is particularly effective because it can expose corner cases that have not been properly dealt with and can be used to test programs that take structured inputs, such as file formats or protocols2.
References: 1: Wikipedia - Fuzzing 2: DZone - Fuzzing in Software Engineering


NEW QUESTION # 115
Which type of security analysis is performed by reviewing source code line-by-line after other security analysis techniques have been executed?

  • A. Static Analysis
  • B. Fuzz Testing
  • C. Dynamic Analysis
  • D. Manual Code Review

Answer: D


NEW QUESTION # 116
Which DKEAD category has a risk rating based on the threat exploit's potential level of harm?

  • A. Affected users
  • B. Damage potential
  • C. Exploitability
  • D. Reproducibility

Answer: B

Explanation:
The DKEAD category that has a risk rating based on the threat exploit's potential level of harm is Damage potential. This category assesses the total damage or impact that a threat could cause if it is exploited by an attacker. The risk rating in this category is determined by evaluating the severity of the potential damage, which could range from information disclosure to complete system destruction or loss of system availability.
References:
* DREAD Threat Modeling1
* OWASP Risk Rating Methodology2
* DREAD Threat Modeling: An Introduction to Qualitative Risk Analysis3


NEW QUESTION # 117
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