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あなたは君の初めてのECCouncilの312-97認定試験を受ける時に認定試験に合格したいか。CertShikenでは、私たちは君のすべての夢を叶えさせて、君の最も早い時間でECCouncilの312-97認定試験に合格するということを保証します。CertShikenのECCouncilの312-97試験トレーニング資料は豊富な経験を持っているIT専門家が研究したもので、問題と解答が緊密に結んでいるものです。CertShikenを選ぶなら、絶対に後悔させません。
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テスト志向の高品質な312-97試験問題があなたにとって最良の選択であると信じています。すべての受験者が312-97試験に合格し、312-97準備ガイドの多大なメリットを享受できることを心から願っています。 312-97試験問題の合格率は99％〜100％です。受験者が312-97試験に合格できるようにすることは、当社の文化において常に長所であり、購入および使用のプロセスでメールで連絡を取ることができます。できるだけ早く返信いたします。
質問 # 31
Camila Duarte, a DevSecOps engineer at a Sao Paulo media company, is setting up her Jenkins pipeline to store database credentials, API keys, and TLS certificates outside of source code and configuration files, with automatic rotation and fine-grained access policies. Which type of tool should she integrate?
正解：D
解説：
Secrets management tools such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault are purpose-built to securely store, dynamically generate, rotate, and control access to sensitive credentials like API keys, database passwords, and certificates, removing the need to hardcode them into source code or pipeline configuration files. This directly matches Camila's requirement for automatic rotation and fine-grained access policies. A static code analyzer scans source code for vulnerabilities but does not manage or store secrets. A container registry stores and distributes container images, unrelated to credential management. A load balancer distributes network traffic across servers and has no role in secrets handling. Since Camila needs centralized, rotatable, access-controlled secret storage, a secrets management tool is correct.
質問 # 32
Terry Diab has been working as a DevSecOps engineer in an IT company that develops software products and web applications for a call center. She would like to integrate Snyk with AWS CodeCommit to monitor and remediate vulnerabilities in the code repository. Terry pushed code to AWS CodeCommit; this triggered Amazon EventBridge Rule, which then triggered AWS CodePipeline. AWS CodePipeline passed code to Snyk CLI run. Who among the following interacts with Snyk CLI and sends the results to Snyk UI?
正解：C
解説：
In an AWS CI/CD architecture, AWS CodePipeline acts as an orchestration service that coordinates different stages but does not execute build or scan commands itself. AWS CodeBuild is the service responsible for running commands such as compiling code, executing tests, and running third-party security tools like the Snyk CLI. In Terry's workflow, CodeCommit stores the source code, EventBridge triggers the pipeline, and CodePipeline passes the source to CodeBuild. CodeBuild then executes the Snyk CLI, performs vulnerability scanning, and sends the scan results to the Snyk UI using the configured authentication token. AWS CodeDeploy is focused on application deployment and does not interact with Snyk CLI. Therefore, AWS CodeBuild is the component that interacts with Snyk CLI and communicates results back to the Snyk platform. This integration ensures that dependency vulnerabilities are detected early in the Build and Test stage.
質問 # 33
Scott Morrison is working as a senior DevSecOps engineer at SUTRE SOFT Pvt. Ltd. His organization develops software and applications for IoT devices. Scott created a user story; he then created abuser stories under the user story. After that, he created threat scenarios under the abuser story, and then he created test cases for the threat scenarios. After defining the YAML, Scott would like to push the user-story driven threat model to the ThreatPlaybook server. Which of the following command Scott should use?
正解：D
解説：
ThreatPlaybook uses the playbook apply feature command to push user-story-driven threat models to the server. The -f flag specifies the path to the YAML file containing the defined user stories, abuser stories, and threat scenarios, while the -p flag specifies the target project. Option C correctly combines these parameters. The -y flag is invalid in this context, and options that misuse -t instead of -p do not correctly identify the project destination. Executing this command during the Plan stage enables teams to integrate threat modeling early, ensuring security risks are identified and addressed before development and deployment proceed.
質問 # 34
A DevOps team is integrating Jira with GitHub to track code changes linked to Jira issues. They have created an issue in Jira for tracking development tasks, pushed the application source code to GitHub using Git Bash commands, registered a new OAuth application in GitHub and copied the Client ID and Client Secret, and committed code changes to GitHub. After refreshing the Jira page, the team expects the commit to appear under commits in the corresponding Jira issue, but the commit details are missing. Which step do you think the team missed to perform for successful integration of Jira with GitHub?
正解：C
解説：
For Jira-GitHub integration, after creating the OAuth app, the team must install and authorize the GitHub for Jira app (connecting the GitHub organization to the Jira site) so that commits referencing Jira issue keys appear in issues. Refreshing the page, recommitting, or regenerating credentials does not establish the missing app connection.
質問 # 35
(Robert Wheeler has been working as a DevSecOps engineer in an IT company for the past 5 years. His organization develops software products and web applications related to AutoCAD. Rob would like to integrate Rapid7 tCell Next-Gen Cloud WAF and RASP Tool with AWS CloudFront to protect application by identifying suspicious actors, enforcing content security policies (CSPs), and securing against unvalidated HTTP redirections on web applications. How can Rob deploy the tCell agent as a CloudFormation stack into his organization AWS account?.)
正解：D
解説：
When integrating security controls at the CDN edge with AWS CloudFront, the typical deployment model usesLambda@Edge, which allows code to execute at CloudFront edge locations on viewer request/response or origin request/response events. Deploying the tCell agent "as a CloudFormation stack" describes packaging the required AWS resources (IAM roles, functions, permissions, and CloudFront associations) into infrastructure-as-code, but the actual attachment point for CloudFront request/response processing is Lambda@Edge. Option C correctly reflects this: "plugging into CloudFront through Lambda@Edge." Standard Lambda functions run in regional AWS environments and cannot directly run at CloudFront edge locations in the same way; therefore, "CloudFront through Lambda Function" is not the best match for edge enforcement needs like CSP handling and redirect protections. Options that claim "plugging into CloudFormation" misunderstand CloudFormation's role: it deploys resources, but it is not the runtime integration point. Hence, CloudFront + Lambda@Edge is the correct deployment approach.
質問 # 36
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