CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

Dynamic Application Security Testing (DAST) is crucial for identifying and addressing security vulnerabilities during the software development life cycle (SDLC). Ensuring that DAST scans are routinely scheduled helps in maintaining a secure development process.

Why Routine DAST Scans?

Continuous Security Assessment: Regular DAST scans help in identifying vulnerabilities in real-time, ensuring they are addressed promptly.

Compliance: Routine scans ensure that the development process complies with security standards and regulations.

Proactive Threat Mitigation: Regular scans help in early detection and mitigation of potential security threats, reducing the risk of breaches.

Integration into SDLC: Ensures security is embedded within the development process, promoting a security-first approach.

Other options, while relevant, do not directly address the continuous assessment and proactive identification of threats:

A. If developers are unable to promote to production: This is more of an operational issue than a security assessment.

B. If DAST code is being stored to a single code repository: This concerns code management rather than security testing frequency.

D. If role-based training is deployed: While important, training alone does not ensure continuous security assessment.

The logs indicate multiple failed login attempts for user10, who may have been part of the staff reduction 60 days prior. If user10 ' s account was removed, and their home directory deleted, any applications or services relying on files or configurations within that directory would fail. This scenario is common when service accounts are not properly identified and preserved during staff reductions.

Ensuring that service accounts are documented and maintained separately from user accounts is essential to prevent unintended disruptions to applications and services.

The most effective solution is Terraform (C), an Infrastructure as Code (IaC) tool that allows organizations to define and provision infrastructure resources across multiple cloud providers using a consistent configuration language. For a multicloud strategy, Terraform provides cloud-agnostic templates, ensuring that server creation, networking, and storage provisioning are automated and standardized across AWS, Azure, GCP, or other providers. This aligns with CAS-005 best practices for cloud automation and consistency.

PowerShell (A) and Bash (B) are scripting tools that can automate tasks but are typically tied to specific operating systems and lack multicloud orchestration capabilities. Ansible (D) is a strong automation tool for configuration management and application deployment, but Terraform is specifically designed to provision and manage infrastructure at scale across multicloud environments.

By using Terraform, the company can enforce consistent images, reduce human error, ensure compliance through reusable templates, and improve operational efficiency while maintaining flexibility across multiple providers.