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| Section | Objectives |
|---|---|
| DevSecOps Pipeline - Operate & Monitor Stage | - Continuous security monitoring - Incident response and management - Logging and security analytics - Threat detection and response |
| DevSecOps Governance and Culture | - Continuous improvement practices - Team roles and responsibilities - DevSecOps maturity model - Security policy and framework |
| DevSecOps Pipeline - Build Stage | - Build pipeline security controls - Container security fundamentals - Software Composition Analysis (SCA) - Automated build security |
| DevSecOps Pipeline - Plan Stage | - Security requirement engineering - Risk assessment and management - Compliance and regulatory alignment - Threat modeling methodologies |
| Introduction to DevSecOps | - DevSecOps vs traditional security - Shift-left security approach - DevSecOps concepts and philosophy - Key components and toolchain |
| DevSecOps Pipeline - Release & Deploy Stage | - Policy as Code implementation - Configuration management security - Infrastructure as Code (IaC) security - Orchestration and deployment security |
| DevSecOps Pipeline - Test Stage | - API security testing - Dynamic Application Security Testing (DAST) - Security regression testing - Interactive Application Security Testing (IAST) |
| Cloud-Native DevSecOps | - Serverless security - Cloud security compliance - Cloud security principles (AWS, Azure) - Container and Kubernetes security |
| Understanding DevOps Culture | - DevOps lifecycle and workflows - DevOps fundamentals and principles - Collaboration and communication models |
| DevSecOps Pipeline - Code Stage | - Secure coding practices and guidelines - Static Application Security Testing (SAST) - Code review and security analysis - Secret management and prevention |
練習資料は通常、試験に必要な試験問題を復習、練習、および記憶するためのツールと見なされ、それらに多くの時間を費やすことで、勝つ可能性を高めることができます。ただし、当社の312-97トレーニング資料は、従来の練習資料よりも条件が良く、効果的に使用できます。 312-97実践ガイドが非常に多くのヘルプを提供できるように、ヘルプを提供することが主な責任であると考えています。最も一般的なのは、312-97試験問題の効率性です。 20〜30時間勉強します。
質問 # 103
(Patricia Cornwell has been working as a DevSecOps engineer in an IT company that provides custom software solutions. She would like to use GitMiner to mine the secret credentials such as usernames and passwords, API credentials, and other sensitive data from GitHub. Therefore, to start the scanning, she cloned the repo to the local machine by using the git clonehttp://github.com/UnkL4b/GitMinercommand; then, she moved to the current directory using $ cd GitMiner command. Which of the following commands should Patricia use to install the dependencies?)
正解：C
解説：
GitMiner is a Python-based tool, and like most Python projects, it manages its dependencies through a requirements file named requirements.txt. The correct way to install all dependencies listed in this file is by using the pip3 install -r requirements.txt command. The -r flag instructs pip to read package names and versions from the specified file and install them accordingly. The other flags shown in the options do not correspond to dependency installation from a requirements file and would result in command errors or unexpected behavior. Installing dependencies correctly is a prerequisite for running GitMiner successfully.
During the Code stage, tools like GitMiner help identify hard-coded secrets and sensitive information early, reducing the risk of credential leakage and preventing security incidents later in the DevSecOps pipeline.
質問 # 104
Henrik Larsson, a DevSecOps engineer at a Gothenburg automotive manufacturer, wants his CI pipeline to fail the build if any Dockerfile violates best practices, such as running as root or using the "latest" tag for a base image. Which type of tool should Henrik integrate?
正解：D
解説：
A Dockerfile linter such as Hadolint statically analyzes Dockerfile syntax and instructions against established best practices, flagging issues like running containers as the root user, using mutable
"latest" image tags, or including unnecessary packages, and can be configured to fail CI builds when violations are found -- exactly matching Henrik's requirement. A load balancer health check monitors the availability of running application instances and has nothing to do with Dockerfile content analysis. A SIEM correlation rule analyzes security event data from running systems, not static Dockerfile definitions. A Kubernetes NetworkPolicy controls pod-to-pod network traffic at runtime and does not evaluate Dockerfile build instructions. Because Henrik needs static analysis of Dockerfile best practices integrated into CI, a Dockerfile linter is correct.
質問 # 105
(Walter O'Brien recently joined as a junior DevSecOps engineer in an IT company located in Lansing, Michigan. His organization develops robotic process automation software for various clients stretched across the globe. Walter's team leader asked him to configure username and user email for git in VS Code.
Therefore, he opened Visual Studio Code IDE console, then clicked on Terminal tab and selected New terminal. Which of the following command should Walter execute in the terminal to configure username and user email for git in VS Code?)
正解：A
解説：
Git requires developers to configure their identity using two specific configuration keys:user.nameanduser.
email. These values are embedded into every commit and are essential for accountability, auditing, and collaboration. The correct configuration syntax uses dot-separated key names (user.name and user.email) and the --global flag to apply the settings across all repositories on the system. Among the provided options, only optionBuses the correct configuration keys. The other options use invalid key names such as user-name, user_name, or incorrect command structure. Although the options display a minor command typo ("get config" instead of git config), the question is clearly testing knowledge of the correct Git configuration keys.
Configuring Git identity in the Code stage ensures accurate commit history and supports traceability across the DevSecOps pipeline.
質問 # 106
(James Harden has been working as a senior DevSecOps engineer in an IT company located in Oakland, California. To detect vulnerabilities and to evaluate attack vectors compromising web applications, he would like to integrate Burp Suite with Jenkins. He downloaded the Burp Suite Jenkins plugins and then uploaded the plugin and successfully integrated Burp Suite with Jenkins. After integration, he would like to scan web application using Burp Suite; therefore, he navigated to Jenkins' dashboard, opened an existing project, and clicked on Configure. Then, he navigated to the Build tab and selected Execute shell from Add build step.
Which of the following commands should James enter under the Execute shell?.)
正解：A
解説：
When
configuring Burp Suite scans in Jenkins using an Execute shell build step, environment variables are often set or echoed so that subsequent scan steps can consume them. The echo command is used to output or define values in the shell context. In this case, echo BURP_SCAN_URL = http://target-website.com correctly defines the target URL for Burp Suite scanning. Commands like grep and cat are used for searching or displaying file contents and are not appropriate for setting scan parameters. The sudo command is unnecessary and incorrect in this context. Using the correct shell command ensures that Burp Suite receives the proper target information during the Build and Test stage, enabling accurate dynamic application security testing.
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質問 # 107
Emma Watson, a DevSecOps engineer at a cybersecurity firm, is investigating delays in their software deployment process. She notices that it takes a significant amount of time for newly committed code to move through development, testing, and production. To improve efficiency, she wants to analyze patterns and pinpoint specific areas causing these delays. Which metric should she use to measure the time from code commit to production?
正解：D
解説：
Change lead time measures the elapsed time from code commit to successful deployment in production, precisely the metric Emma needs to pinpoint where delays occur across development, testing, and release. Change volume counts how many changes occur, availability measures uptime, and customer issue volume tracks reported problems-none measure commit-to-production time.
質問 # 108
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