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NEW QUESTION # 26
Brett Ryan has been working as a senior DevSecOps engineer in an IT company in Charleston, South Carolina. He is using git-mutimail tool to send email notification for every push to git repository. By default, the tool will send one output email providing details about the reference change and one output email for every new commit due to a reference change. How can Brett ensure that git-multimail is set up appropriately?
Answer: B
Explanation:
The git-multimail tool provides a mechanism to verify whether it has been installed and configured correctly before being relied upon for production notifications. This verification is done using an environment variable named GIT_MULTIMAIL_CHECK_SETUP. When this variable is set to a non-empty string, git-multimail performs a setup validation and outputs diagnostic information to confirm that configuration values, hooks, and parameters are correctly defined. This helps prevent silent failures where commits occur but email notifications are not sent. Options that reference GITHUB_MULTIMAIL_CHECK_SETUP are incorrect because git-multimail is not limited to GitHub and does not use that variable name. Additionally, setting the variable to an empty string does not trigger the setup check. Ensuring proper configuration during the Code stage is important because it supports auditability, traceability, and timely communication among development and security teams. Therefore, Brett must run the environment variable GIT_MULTIMAIL_CHECK_SETUP with a non-empty value to ensure the tool is set up appropriately.
NEW QUESTION # 27
Ethan Parker, a DevSecOps engineer at a cloud-based software company, is responsible for securing web applications running in AWS. His team decides to integrate an automated security testing tool within their CI/CD pipeline to identify vulnerabilities during deployment. As part of the DAST phase in their AWS build scanning process, the tool utilizes API credentials to conduct vulnerability scans. When the application is deployed, AWS CodeBuild triggers the scanning process, and if security issues are detected, a Lambda function parses the results and forwards them to AWS Security Hub for further analysis. Which security tool is Ethan's team using?
Answer: B
Explanation:
OWASP ZAP is the open-source DAST tool commonly integrated into AWS CodeBuild for the DAST phase: CodeBuild triggers ZAP scans (using API credentials) during deployment, and a Lambda function parses ZAP's findings and forwards them to AWS Security Hub-exactly Ethan's workflow. AWS Inspector scans EC2/ECR/Lambda resources, ModSecurity is a WAF, and Burp Suite isn't the described open-source pipeline scanner.
NEW QUESTION # 28
Allen Smith has been working as a senior DevSecOps engineer for the past 4 years in an IT company that develops software products and applications for retail companies. To detect common security issues in the source code, he would like to integrate Bandit SAST tool with Jenkins. Allen installed Bandit and created a Jenkins job. In the Source Code Management section, he provided repository URL, credentials, and the branch that he wants to analyze. As Bandit is installed on Jenkins' server, he selected Execute shell for the Build step and configure Bandit script. After successfully integrating Bandit SAST tool with Jenkins, in which of the following can Allen detect security issues?
Answer: B
Explanation:
Bandit is a Static Application Security Testing (SAST) tool developed specifically for analyzing Python source code. It scans Python scripts and applications to identify common security issues such as use of weak cryptography, hardcoded passwords, unsafe use of functions like eval, and insecure imports. Bandit works by parsing Python Abstract Syntax Trees (ASTs) and applying a set of security-focused rules. It does not support Java, Ruby, or C++ code, which require different static analysis tools tailored to their respective languages. By integrating Bandit with Jenkins during the Build and Test stage, Allen enables automated detection of Python-specific security flaws as soon as code changes are introduced. This shift-left approach reduces remediation costs, prevents vulnerable code from progressing further in the pipeline, and improves overall application security posture.
NEW QUESTION # 29
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: B
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 # 30
Ingrid Larsen, a release engineer at an Oslo renewable energy company, wants to deploy a new version of a critical control-system API to only 5% of production traffic initially, monitoring error rates before a full rollout. Which deployment strategy is she using?
Answer: C
Explanation:
Canary deployment routes a small, controlled percentage of production traffic (in this case, 5%) to the new version while the majority continues to use the stable version, allowing teams to monitor real-world metrics like error rates and latency before deciding to proceed with a full rollout -- this is exactly Ingrid's approach. Blue-green deployment instead maintains two complete, identical environments and switches all traffic at once from the old (blue) to the new (green) environment rather than a gradual percentage-based shift. Recreate deployment terminates the old version entirely before starting the new one, causing downtime, which contradicts the gradual traffic- splitting Ingrid describes. Rolling deployment incrementally replaces instances of the old version with the new one across the infrastructure rather than splitting live traffic by percentage to a parallel version. Since Ingrid is directing a specific traffic percentage to the new version for monitoring, canary deployment is correct.
NEW QUESTION # 31
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