CS0-002 Leak Questions

Performing a code review is the best recommendation to ensure proper error handling at runtime for an embedded software team. A code review is a process of examining and evaluating source code by one or more developers other than the original author. A code review can help to identify and fix any errors, bugs, vulnerabilities, or inefficiencies in the code before it is deployed or executed. A code review can also help to ensure that the code follows the best practices, standards, and guidelines for error handling at runtime .

Processing and exploitation is the step in the intelligence cycle that involves converting raw data into a format that can be used for analysis and producing intelligence products that can be disseminated to consumers. The security analyst is performing this step by correlating, ranking, and enriching raw data into a report. Analysis and production, dissemination and evaluation, data collection, and planning and direction are other steps in the intelligence cycle, but they do not match the description of the security analyst’s task. Reference:

Static analysis is a method of analyzing the source code or binary code of an application without executing it. Static analysis can detect vulnerable third-party libraries before code deployment by scanning the code for references to known vulnerable libraries or versions and reporting any issues or risks12.

Impact analysis is a process of assessing the potential effects of a change on a system or service, such as performance, availability, security and compatibility. Impact analysis does not detect vulnerable third-party libraries before code deployment, but rather helps to evaluate and communicate the consequences of a change.

Dynamic analysis is a method of analyzing the behavior or performance of an application by executing it under various conditions or inputs. Dynamic analysis does not detect vulnerable third-party libraries before code deployment, but rather helps to identify any errors or defects that occur at runtime.

Protocol analysis is a method of examining the data exchanged between devices or applications over a network by capturing and interpreting the packets or messages. Protocol analysis does not detect vulnerable third-party libraries before code deployment, but rather helps to monitor and troubleshoot network communication.

Data sovereignty is the idea that data are subject to the laws and governance structures of the nation where they are collected1 Data sovereignty issues can impact organizational initiatives that involve transferring or storing data across different jurisdictions, such as moving to a cloud-based environment. Cloud computing involves using remote servers and networks to store and process data, which may be located in different countries or regions with different data protection laws and regulations2 This can create challenges for organizations that need to comply with data sovereignty requirements of their own country or their customers’ countries, such as data localization, data access, data security, data breach notification, etc3

References: 1 Data sovereignty - Wikipedia 2 What Is Data Sovereignty? Everything You Need to Know - Permission.io 3 What is data sovereignty? - IONOS