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(SNF Pvt. Ltd. is a software development company located in Denver, Colorado. The organization is using pytm, which is a Pythonic Framework for threat modeling, to detect security issues and mitigate them in advance. James Harden has been working as a DevSecOps engineer at SNF Pvt. Ltd. for the past 3 years. He has created a tm.py file that describes an application in which the user logs the app and posts the comments on the applications. These comments are stored by the application server in the database and AWS lambda cleans the database. Which of the following command James can use to generate a sequence diagram?)
Answer : A
The pytm framework generates threat models that can be visualized using PlantUML diagrams. To create a sequence diagram, the --seq option is used with the model file, and the output is piped to the PlantUML processor. The correct command must reference the correct Java system property -Djava.awt.headless=true, which allows diagram rendering in environments without a graphical interface, such as CI/CD pipelines. Additionally, the correct jar file name is plantuml.jar. Options using lowercase -d instead of uppercase -D are invalid, and commands referencing plantum.jar are incorrect due to a misspelled jar name. Generating sequence diagrams during the Plan stage helps DevSecOps teams visualize data flows, understand attacker paths, and identify security threats early in the application design phase.
(David Paymer has been working as a senior DevSecOps engineer in an IT company over the past 5 years. His organization is using Azure DevOps service to produce software products securely and quickly. David's team leader asked him to publish a NuGet package utilizing a command line. Imagine you are in David's place; which command would you use to publish NuGet package into the feed?.)
Answer : D
Publishing a NuGet package to a feed is done using the nuget.exe push command. The -Source parameter specifies the target feed name or URL, and the -ApiKey parameter is required even if the feed ignores its value. The publish verb is not used for NuGet package uploads, and -Destination is not a valid parameter for pushing packages. Therefore, nuget.exe push -Source '<YOUR_FEED_NAME>' -ApiKey <ANY_STRING> <PACKAGE_PATH> is the correct command. Using command-line publishing supports automation and consistency in DevSecOps workflows, enabling secure and repeatable artifact distribution as part of continuous delivery pipelines.
(Evan Peters has been working as a DevSecOps engineer in an IT company located in Denver, Colorado. His organization has deployed various applications on Docker containers. Evan has been running SSH service inside the containers, and handling of SSH keys and access policies is a major security concern for him. What will be the solution for Evan security concern?)
Answer : D
Running an SSH service inside Docker containers is considered a security anti-pattern because it increases the attack surface and complicates key and access management. Containers are designed to run a single primary process and be managed externally rather than accessed via SSH. The recommended solution is to run SSH on the host system and use docker exec to interact with containers when administrative access is required. This approach eliminates the need to manage SSH keys inside containers, reduces exposure to brute-force attacks, and simplifies access control. The other options incorrectly suggest running SSH in inappropriate locations such as the registry, client, or build process, which do not address the core security concern. During the Operate and Monitor stage, minimizing unnecessary services within containers is critical to enforcing least privilege and maintaining a secure runtime environment.
(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 : C
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.
(William Edwards is working as a DevSecOps engineer at SVR Software Solution Pvt. Ltd. His organization develops software products and applications related to digital marketing. William integrated Prisma Cloud with Jenkins to detect threat-intelligence based threat detection. This integration will allow him to scan container images and serverless functions for security issues in the CI/CD pipeline. Which of the following is employed by Prisma Cloud to understand the normal network behavior of each customer's cloud environment to detect network anomalies and zero-day attacks effectively with minimal false positives?.)
Answer : A
Prisma Cloud leverages advanced unsupervised machine learning to establish baselines of normal behavior within a customer's cloud environment. By analyzing patterns in network traffic, resource interactions, and workload behavior without relying on labeled training data, it can detect anomalies and potential zero-day attacks with minimal false positives. Supervised approaches require predefined labels and known attack patterns, which limits effectiveness against new or unknown threats. Unsupervised data mining alone lacks the adaptive intelligence provided by machine learning models. Using unsupervised machine learning during the Build and Test stage enables continuous, intelligent security analysis across dynamic cloud-native workloads, supporting proactive threat detection in DevSecOps pipelines.
