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NEW QUESTION # 21
PentaByte is a software product development company located in Austin, Texas. The organization would like to secure communication methods to maintain confidentiality and security.
How can PentaByte achieve secure by communication secure coding principle?
Answer: C
Explanation:
The secure communication principle focuses on protecting data as it moves between systems, services, and users. This is achieved by establishing and maintaining secure trust relationships, which include strong authentication mechanisms, encryption, certificate management, and trusted communication channels. Preventing breaches and reducing attack surface are broader security objectives, not specific to communication security. Balancing default configuration settings relates to secure defaults rather than communication. Secure trust relationships ensure that only authenticated and authorized entities can exchange data and that information remains confidential and tamper-proof during transmission. Embedding this principle into DevOps culture ensures that secure communication practices are consistently applied across all stages of the DevSecOps pipeline.
NEW QUESTION # 22
Tobias Hartmann, a DevSecOps engineer at a Munich manufacturing firm, wants to simulate a full real-world attack chain - from initial reconnaissance through exploitation to lateral movement and data exfiltration - against a pre-production environment using both automated tools and skilled human testers, to validate defenses holistically. Which activity is Tobias planning?
Answer: C
Explanation:
Penetration testing, especially when extended into a red team exercise, involves skilled human testers combined with automated tooling simulating the full lifecycle of a real-world attack -- reconnaissance, exploitation, lateral movement, and exfiltration -- against systems to holistically validate the effectiveness of defenses, which precisely matches Tobias's plan. A SAST scan is a narrow, automated, code-level analysis technique that does not simulate a full multi-stage attack chain or involve human adversarial testers. SBOM generation produces a component inventory and has no offensive testing component whatsoever. Static Dockerfile linting checks build-file syntax against best practices and is unrelated to simulating an end-to-end attack. Because Tobias needs a holistic, human-plus-automated simulation of a full attack chain, penetration testing/red teaming is correct.
NEW QUESTION # 23
Diego Fuentes works for a Madrid-based e-commerce company. He wants to ensure that every open-source library pulled into the build has a documented pedigree of components, versions, and licenses so his team can respond quickly if a new CVE is disclosed for a nested dependency.
What artifact should Diego generate as part of the Build stage?
Answer: B
Explanation:
A Software Bill of Materials (SBOM) is a formal, machine-readable inventory of all components, libraries, and dependencies (including transitive/nested ones) used to build software, along with their versions and licenses. Tools that generate SBOMs in formats like SPDX or CycloneDX allow security teams to rapidly cross-reference newly disclosed CVEs against exactly what is deployed, which is precisely Diego's goal. An Infrastructure as Code template defines and provisions infrastructure resources, not application dependency pedigree. A container image manifest describes image layers and configuration but not a full dependency/license inventory. A Git commit signature verifies commit authenticity via cryptographic signing but says nothing about dependency composition. Because Diego needs a documented, queryable component inventory for rapid CVE response, an SBOM is the correct artifact.
NEW QUESTION # 24
(Craig Kelly has been working as a software development team leader in an IT company over the past 8 years.
His team is working on the development of an Android application product. Sandra Oliver, a DevSecOps engineer, used DAST tools and fuzz testing to perform advanced checks on the Android application product and detected critical and high severity issues. She provided the information about the security issues and the recommendations to mitigate them to Craig's team. Which type of security checks performed by Sandra involve detection of critical and high severity issues using DAST tools and fuzz testing?)
Answer: C
Explanation:
Dynamic Application Security Testing (DAST) and fuzz testing require a running application in order to actively probe for vulnerabilities such as injection flaws, authentication bypasses, and improper input handling. These techniques are therefore performed after the application has been built and deployed to a testing environment, categorizing them astest-time checks. Commit-time and build-time checks rely primarily on static analysis and dependency scanning and do not exercise application behavior at runtime.
Deploy-time checks focus on configuration validation rather than aggressive attack simulation. Test-time checks are specifically designed to uncover critical and high-severity vulnerabilities by mimicking real-world attack scenarios. Performing DAST and fuzz testing during this stage allows teams to detect exploitable flaws before production release, significantly strengthening application security.
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NEW QUESTION # 25
(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
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 # 26
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