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| Section | Objectives |
|---|---|
| Topic 1: Cloud & Container Security | - Cloud security fundamentals
|
| Topic 2: Secure Software Development Lifecycle (SDLC) | - Secure requirements and design principles
|
| Topic 3: Compliance, Risk & Governance | - Compliance frameworks
|
| Topic 4: Security Operations & Monitoring | - Incident response
|
| Topic 5: DevSecOps Pipeline Integration | - Toolchain security
|
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NEW QUESTION # 20
Paul McCartney has been working as a senior DevSecOps engineer in an IT company over the past 5 years. He would like to integrate Conjur secret management tool into the CI/CD pipeline to secure the secret credentials in various phases of development. To integrate Conjur with Jenkins, Paul downloaded Conjur.hpi file and uploaded it to the Upload Plugin section of Jenkins. Paul declared a policy branch using a code and saved it as a .yml file. Which of the following commands should Paul use to load this policy in Conjur root?
Answer: C
Explanation:
Conjur policies define access controls, authentication rules, and secret variables, and they must be loaded into the correct policy branch. The conjur policy load command uses the -b flag to specify the policy branch and the -f flag to specify the policy file. To load a policy into the root branch, the correct command is conjur policy load -b root -f <file-name>. Options that reverse or misuse these flags are invalid and would either fail or load the policy incorrectly. Loading policies correctly during the Build and Test stage ensures that Jenkins pipelines can securely access secrets at runtime, enforcing centralized secret management, least-privilege access, and compliance with security requirements.
NEW QUESTION # 21
(Rachel Maddow has been working at RuizSoft Solution Pvt. Ltd. for the past 7 years as a senior DevSecOps engineer. To develop software products quickly and securely, her organization has been using AWS DevOps services. On January 1, 2022, the software development team of her organization developed a spring boot application with microservices and deployed it in AWS EC2 instance. Which of the following AWS services should Rachel use to scan the AWS workloads in EC2 instance for security issues and unintended network exposures?.)
Answer: C
Explanation:
AWS Inspector is a managed vulnerability assessment service designed specifically to scan workloads running on Amazon EC2 instances and container images for security vulnerabilities and unintended network exposures. It automatically evaluates instances against known vulnerabilities and security best practices, providing detailed findings and risk severity levels. AWS WAF protects web applications from common web exploits but does not perform host-based vulnerability scanning. AWS Config tracks configuration changes and compliance but does not actively scan workloads for vulnerabilities. Amazon CloudWatch focuses on monitoring logs, metrics, and alarms rather than security scanning. For a Spring Boot microservices application deployed on EC2, AWS Inspector is the correct choice to continuously assess security posture during the Build, Deploy, and Operate phases of the DevSecOps pipeline.
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NEW QUESTION # 22
(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 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 # 23
(Matt LeBlanc has been working as a DevSecOps engineer in an IT company that develops software products and web applications for IoT devices. His team leader has asked him to use GitRob tool to find sensitive data in the organizational public GitHub repository. To install GitRob, Matt ensured that he has correctly configured Go >= 1.8 environment and that $GOPATH/bin is in his $PATH. The GitHub repository URL from which he is supposed to install the tool ishttps://github.com/michenriksen/gitrob. Which of the following command should Matt use to install GitRob?.)
Answer: D
Explanation:
In Go-based tool installation, the standard method to download, compile, and install a Go package is using the go get command followed by the repository import path. Since Matt has already ensured that Go version 1.8 or later is installed and that $GOPATH/bin is included in the system PATH, running go get github.com
/michenriksen/gitrob will fetch the GitRob source code, build the binary, and place it in the appropriate bin directory. Options B, C, and D are invalid because go get does not accept multiple positional arguments in that manner, and go git is not a valid Go command. Installing GitRob during the Code stage enables DevSecOps teams to scan repositories for accidentally committed credentials, API keys, and other sensitive information, helping prevent data leakage from public repositories.
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NEW QUESTION # 24
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 # 25
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