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質問 # 143
Sophia, a DevSecOps engineer, is working on improving the security posture of her organization's cloud-native applications. She wants to integrate continuous threat modeling directly into the software development process to ensure that developers can identify security risks while writing code. To achieve this, she introduces a tool that allows developers to annotate source code with security concerns, generate data flow diagrams (DFDs), and create threat model reports dynamically. This approach enables real-time visibility into security risks and bridges the gap between development and security teams. Which tool should Sophia use to achieve this?
正解：B
解説：
ThreatSpec lets developers annotate source code with security concerns (threats, mitigations, transfers) inline as comments, then generates data-flow diagrams and threat model reports dynamically-embedding continuous threat modeling directly into the development workflow, exactly as Sophia needs. Threagile models from YAML files, Bandit is a Python SAST tool, and Jira is issue tracking.
質問 # 144
Henrik Larsson, a DevSecOps engineer at a Gothenburg automotive manufacturer, wants his CI pipeline to fail the build if any Dockerfile violates best practices, such as running as root or using the "latest" tag for a base image. Which type of tool should Henrik integrate?
正解：D
解説：
A Dockerfile linter such as Hadolint statically analyzes Dockerfile syntax and instructions against established best practices, flagging issues like running containers as the root user, using mutable
"latest" image tags, or including unnecessary packages, and can be configured to fail CI builds when violations are found -- exactly matching Henrik's requirement. A load balancer health check monitors the availability of running application instances and has nothing to do with Dockerfile content analysis. A SIEM correlation rule analyzes security event data from running systems, not static Dockerfile definitions. A Kubernetes NetworkPolicy controls pod-to-pod network traffic at runtime and does not evaluate Dockerfile build instructions. Because Henrik needs static analysis of Dockerfile best practices integrated into CI, a Dockerfile linter is correct.
質問 # 145
Olivia Carter, a DevSecOps Engineer at SecureDev Solutions, is responsible for enhancing the security of the company's software development lifecycle. Her team frequently uses open-source libraries in their projects, making vulnerability detection a critical priority. To ensure continuous security monitoring, Olivia integrates Mend Bolt with GitHub Actions. This setup allows her team to Automatically scan dependencies for vulnerabilities with every code commit, receive real-time alerts and remediation suggestions within GitHub and ensure security risks are mitigated before merging code into the main branch. What should Olivia configure in GitHub Actions to enable Mend Bolt's automated security scanning for each commit?
正解：D
解説：
To get automated Mend Bolt scanning on every commit, Olivia must set up a CI workflow in GitHub Actions (a workflow YAML with an on: push trigger) that runs the Mend Bolt scan, surfacing alerts and remediation guidance in GitHub before merge. Manual or release-only scans break continuous coverage, and auto-merging is unrelated and risky.
質問 # 146
A technology company recently implemented a continuous monitoring system to improve security, performance, and compliance across its cloud-based infrastructure and applications. The operations team set up monitoring tools to track infrastructure health, network stability, and application performance. After a routine system update, the company started experiencing intermittent service disruptions. Some users reported delayed responses, while others faced unexpected session timeouts. They investigated and reported that firewall settings and bandwidth usage, confirming that traffic flow remained stable. Analysis also shows that CPU, memory, and storage usage were within normal limits. Which aspect of continuous monitoring should the team investigate next?
正解：B
解説：
Since infrastructure (CPU/memory/storage) and network (firewall, bandwidth) checks came back normal, but users report delayed responses and session timeouts, the next area is application monitoring: examining response times, error rates, and transaction stability at the application layer, which is where the update most likely introduced the intermittent disruption.
質問 # 147
A gaming startup implemented an SCA tool in its CI/CD pipeline to enhance security during the build phase. While the tool successfully identified vulnerabilities in dependencies, the security team struggled to assess the actual risk posed by these findings. Without insight into how the detected vulnerabilities impacted the application's runtime behavior, prioritization became difficult, leading to inefficiencies in remediation efforts. What is the primary issue the team is facing?
正解：A
解説：
The core problem is lack of context: SCA listed vulnerable dependencies, but without runtime/application context (whether the vulnerable code path is reachable or exploitable), the team couldn't assess real risk or prioritize remediation. The findings existed (so automation and the database worked), and version control is irrelevant.
質問 # 148
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