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(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?.)
A. By using STRIDE per Element.
B. By using Accelerator.
C. By using YAML spec-based orchestration tools.
D. By using Architect.
Answer: B
Explanation:
ThreatModeler'sAcceleratorcapability 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.
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NEW QUESTION # 27
(Katie Holmes is working as a DevSecOps engineer at SeCSafe Anti-virus. The DevOps team of her organization has developed a distributed application with multiple microservices. Katie deployed all the microservices to the Kubernetes nodes successfully. The DevOps team approached Katie and informed her that the application is not working. Katie wants to check whether the Kubernetes cluster is working or not.
Which of the following commands should Katie run step by step to verify that the Kubernetes is working?)
A. kubectl version kubectl cluster-info.
B. kube-etcd version kube-etcd cluster-info.
C. kube version kube cluster-info.
D. kubernetes version kubebernetes cluster-info.
Answer: A
Explanation:
Kubernetes clusters are managed and inspected using the kubectl command-line tool. To verify whether a Kubernetes cluster is functioning correctly, administrators commonly run kubectl version to confirm that both the client and server components are reachable and operational. This is followed by kubectl cluster-info, which displays information about the cluster's control plane and core services. These commands together confirm API server availability, cluster connectivity, and basic health status. The other options list invalid command names such as kube, kubernetes, or kube-etcd, which are not used for standard cluster validation.
Performing these checks during the Operate and Monitor stage helps quickly identify whether application issues stem from cluster-level problems or application-level misconfigurations. This supports faster troubleshooting and more reliable production operations.
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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?.)
A. Ruby code.
B. Python code.
C. Java code.
D. C++ code.
Answer: B
Explanation:
Bandit is a Static Application Security Testing (SAST) tool developed specifically for analyzingPython 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.
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NEW QUESTION # 29
(Alexander Hamilton has been working as a senior DevSecOps engineer in an IT company located in Greenville, South Carolina. In January of 2012, his organization because a victim of a cyber security attack and incurred a tremendous loss. Alexander's organization immediately adopted AWS cloud-based services after the attack to develop robust software products securely and quickly. To detect security issues in code review, Alexander would like to integrate SonarQube with AWS Pipeline; therefore, he created a pipeline in AWS using CloudFormation pipeline template. Then, he selected SonarQube tool from the tools dropdown, provided the required stack parameters, and also provided email address for receiving email notifications of changes in pipeline status and approvals. He deployed the pipeline after entering the required information.
What will happen when changes are committed in the application repository?.)
A. BinSkim event is created.
B. Security Hub event is created.
C. Cloud Config event is created.
D. CloudWatch event is created.
Answer: D
Explanation:
When changes are committed to a repository connected to an AWS Pipeline, the pipeline execution is triggered and monitored usingAmazon CloudWatch events. CloudWatch captures pipeline state changes, execution status, and approval notifications, enabling real-time monitoring and alerting. AWS Config tracks resource configuration changes, BinSkim is a binary analysis tool, and Security Hub aggregates security findings but does not directly track pipeline execution events. Integrating SonarQube into AWS Pipeline ensures static code analysis runs automatically upon commits, while CloudWatch provides visibility into pipeline activity. This setup strengthens security automation during the Code stage by ensuring every commit is analyzed and monitored.
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NEW QUESTION # 30
(Elizabeth Moss has been working as a DevSecOps engineer in an IT company located in San Diego, California. Due to the robust security and cost-effective service provided by AWS, her organization transferred all the workloads from on-prem to AWS cloud in 2017. Elizabeth would like to prevent committing AWS keys into repositories; therefore, she created a global git-templates directory using command line. Then, she created another directory, named it as hooks, wherein she created a file named pre- commit. In the pre-commit file, Elizabeth pasted the script that would prevent committing AWS keys into the repositories. She would like to ensure that the hook is executable. Which of the following command should Elizabeth run to make sure that the pre-commit hook is executable?)
A. chmod a+x ~/.hooks/git-templates/pre-commit.
B. chmod a+e ~/.hooks/git-templates/pre-commit.
C. chmod a+e ~/.git-templates/hooks/pre-commit.
D. chmod a+x ~/.git-templates/hooks/pre-commit.
Answer: D
Explanation:
Git hooks must have executable permissions to run automatically during Git operations such as commits. The standard way to make a file executable on Unix-like systems is by using the chmod command with the +x flag. In Elizabeth's setup, the pre-commit hook is located in the ~/.git-templates/hooks/ directory, so the correct command is chmod a+x ~/.git-templates/hooks/pre-commit. The a+x option grants execute permission to all users, ensuring that the hook runs regardless of the user context. Options using +e are invalid because e is not a recognized permission flag. Ensuring that the hook is executable during the Code stage helps prevent accidental exposure of AWS credentials by enforcing security checks before commits are finalized.
NEW QUESTION # 31
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