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NEW QUESTION # 57
Rachel McAdams has been working as a senior DevSecOps engineer in an IT company for the past 5 years. Her organization embraced AWS cloud service due to robust security and cost- effective features offered by it. To take proactive decisions related to the security issues and to minimize the overall security risk, Rachel integrated ThreatModeler with AWS. ThreatModeler utilizes various services in AWS to produce a robust threat model. How can Rachel automatically generate the threat model of her organization's current AWS environment in ThreatModeler?
Answer: A
Explanation:
ThreatModeler's Accelerator capability allows automatic generation of threat models directly from an organization's live AWS environment. It connects to AWS services, analyzes deployed resources, and converts them into architectural diagrams and threat models without manual input.
YAML-based orchestration tools and STRIDE per Element are methodologies used for modeling but do not automatically ingest live cloud configurations. Architect is a design construct, not an automation engine. Using Accelerator during the Plan stage enables proactive, continuous threat modeling, ensuring that evolving cloud infrastructure is always assessed for risk and security gaps.
NEW QUESTION # 58
During the final testing phase of a web application, a DevSecOps engineer receives an Invicti scan report via Azure Pipelines. The report highlights a high-risk SQL injection vulnerability in the application's login form. Prior to the scan, the engineer had configured the CI/CD pipeline by using a PowerShell script generated by Invicti's Script Generator, ensuring that the User ID and API Token were correctly set as pipeline variables. To effectively address the vulnerability, what should the engineer do next?
Answer: B
Explanation:
The correct response to a confirmed high-risk SQL injection finding is to remediate the vulnerable query in the code (e.g., using parameterized queries) and then re-run the pipeline scan to verify the fix. Disabling checks, reverting versions, or regenerating the PowerShell script leaves the vulnerability in place or ignores it.
NEW QUESTION # 59
Richard Branson has been working as a DevSecOps engineer in an IT company that develops apps for Android mobiles. To manage the secret information of an application in various phases of development lifecycle and to provide fine-grained access to each secret, he would like to integrate HashiCorp Vault with Jenkins. To access the vault from Jenkins, Richard installed hashicorp-vault- plugin and ran a vault instance; he then selected the AppRole authentication method, which allows apps to access vault with a predefined role. Which of the following commands should Richard use to enable AppRole authentication?
Answer: D
Explanation:
HashiCorp Vault enables authentication mechanisms using the vault auth enable command followed by the name of the authentication method. To enable AppRole authentication, the correct command is vault auth enable approle. AppRole is specifically designed for machine-to- machine authentication, making it ideal for CI/CD tools like Jenkins. It allows applications to authenticate securely using role IDs and secret IDs instead of static credentials. The other options do not follow Vault CLI syntax and would result in command errors. Enabling AppRole during the Build and Test stage ensures that secrets are accessed securely and dynamically, supporting least-privilege access control and reducing the risk of credential leakage across the DevSecOps pipeline.
NEW QUESTION # 60
Alex Hales has been working as a DevSecOps in an IT company that develops software products and web applications for visualizing scientific data. He would like to trigger a Jenkins build job using Git post commit script or hooks that helps his team in saving time by automating commit.
Therefore, before triggering the build job, Alex made changes and saved the code in the respective IDE under Git repository and added the changes in the master branch using git add command and ran the post commit script to check the status of the build. Then, he navigated to the Jenkins project and selected the "Trigger build remotely from Build triggers" radio button. It would automate the trigger every time a change gets committed to the project. Alex navigated back to Bash terminal to trigger the build job. Which of the following commands should Alex use in Bash terminal to trigger the build job?
Answer: A
Explanation:
Git post-commit hooks are executed automatically after a commit is successfully created. To trigger the Jenkins build job configured to respond to commits, Alex must create a valid Git commit using the correct Git command. The standard command to commit changes with a message is git commit - m "commit from terminal". Running this command records the changes in the repository and triggers the post-commit hook, which in turn initiates the Jenkins build.
Commands using github commit are invalid because github is not a native Git command-line utility. The -b flag is also not used with git commit. Automating build triggers during the Code stage improves efficiency, reduces manual intervention, and ensures continuous integration is consistently enforced.
NEW QUESTION # 61
(William McDougall has been working as a DevSecOps engineer in an IT company located in Sacramento, California. His organization has been using Microsoft Azure DevOps service to develop software products securely and quickly. To take proactive decisions related to security issues and to reduce the overall security risk, William would like to integrate ThreatModeler with Azure Pipelines. How can ThreatModeler be integrated with Azure Pipelines and made a part of William's organization DevSecOps pipeline?)
Answer: B
Explanation:
ThreatModeler integration with Azure Pipelines is achieved using abidirectional API, which allows automated and continuous interaction between the pipeline and the threat modeling platform. This bidirectional communication enables Azure Pipelines to trigger threat modeling activities while also receiving results, risk scores, and actionable insights back from ThreatModeler. Such feedback loops are critical for proactive security decision-making during the Plan stage of DevSecOps. Unidirectional APIs or UI-based integrations limit automation and do not support continuous feedback, making them unsuitable for pipeline- driven workflows. UI-based approaches also introduce manual steps, which conflict with DevSecOps principles of automation and consistency. By using a bidirectional API, William's organization can embed threat modeling into the planning process, identify architectural risks early, and ensure security considerations are continuously enforced as part of the pipeline.
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NEW QUESTION # 62
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