さらに、Xhs1991 312-97ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=16FM2CQI5oA6rRVDu3VRN9fMKPfRZWPA7
ECCouncil 312-97試験に準備するには、適当の練習は必要です。受験生としてのあなたはECCouncil 312-97試験に関する高い質量の資料を提供します。、PDF版、ソフト版、オンライン版三つの版から、あなたの愛用する版を選択します。弊社の高品質の試験問題集を通して、あなたにECCouncil 312-97試験似合格させ、あなたのIT技能と職業生涯を新たなレベルに押し進めるのは我々の使命です。
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Xhs1991のサイトは長い歴史を持っていて、ECCouncilの312-97認定試験の学習教材を提供するサイトです。長年の努力を通じて、Xhs1991のECCouncilの312-97認定試験の合格率が１００パーセントになっていました。ECCouncilの312-97試験トレーニング資料の高い正確率を保証するために、うちはECCouncilの312-97問題集を絶えずに更新しています。それに、うちの学習教材を購入したら、私たちは一年間で無料更新サービスを提供することができます。
質問 # 132
(William Scott, after completing his graduation in computer science, joined an IT company as a DevSecOps engineer. His team leader has asked him to use GitHub Code Scanning for evaluating the source code in his organization's GitHub repository to detect security issues and coding errors. How can William set up coding scanning in GitHub repository?)
正解：B
解説：
GitHub Code Scanning is a built-in security capability designed to automatically analyze source code for security vulnerabilities and coding errors. The primary and officially supported engine for GitHub Code Scanning isCodeQL. CodeQL works by converting source code into a database and running security queries to detect issues such as injection flaws, insecure coding patterns, and logic errors. William can enable CodeQL by configuring GitHub Actions with either the default or advanced CodeQL workflow. Once enabled, CodeQL scans are triggered on events such as code pushes and pull requests, and the results appear as code scanning alerts in the repository's Security tab. Gauntlt is a security testing harness used mainly for infrastructure and application testing, GitMiner is used to discover sensitive data like secrets in repositories, and OWASP ZAP is a dynamic application security testing tool used against running applications. None of these tools configure GitHub's native Code Scanning feature. Therefore, CodeQL is the correct tool to set up GitHub Code Scanning in the Code stage of a DevSecOps pipeline.
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質問 # 133
Tomasz Wieczorek is a DevSecOps lead at a logistics company in Krakow. He wants his team to define security requirements collaboratively with product owners at the very start of each sprint, ensuring acceptance criteria include abuse cases alongside normal use cases. Which practice is Tomasz implementing?
正解：B
解説：
Secure sprint planning integrates security requirements, misuse/abuse cases, and risk-based acceptance criteria directly into sprint backlogs during the Plan stage, ensuring security is "shifted left" and treated as a first-class requirement rather than an afterthought. A Security Champions Program instead designates specific engineers within teams to advocate for security practices and knowledge-sharing, which is a cultural/organizational structure rather than a sprint-level planning activity. Chaos engineering is an Operate-stage resilience testing practice, and blue- green deployment is a Release/Deploy strategy for minimizing downtime. Because Tomasz is embedding abuse cases into sprint acceptance criteria at the beginning of each sprint, secure sprint planning is the correct answer.
質問 # 134
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?
正解：D
解説：
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.
質問 # 135
Sara Lindqvist, a DevSecOps engineer at a Helsinki healthtech company, must ensure that patient data used in the staging environment for testing does not expose real patient identities, while still preserving realistic data formats and referential integrity for QA testing. Which technique should Sara apply?
正解：C
解説：
Data masking (or anonymization/pseudonymization) techniques replace or obscure sensitive fields such as names, national ID numbers, or medical record identifiers with realistic but non- identifying substitute values, while preserving data format, structure, and referential integrity needed for effective QA testing -- exactly satisfying Sara's dual requirement of privacy protection and testing realism. Fully replicating production data with no changes would expose real patient identities in a lower-security environment, violating privacy regulations like HIPAA or GDPR.
Disabling the staging environment entirely would prevent QA testing altogether, which is not a viable solution to the data privacy problem. Encrypting the entire database with a single shared key visible to all developers does not actually anonymize the data -- anyone with that key could still view real patient identities, and broad key visibility itself creates a serious exposure risk.
Since Sara needs privacy-preserving yet realistic test data, data masking/anonymization is correct.
質問 # 136
A DevOps team is integrating Splunk with GitLab to monitor their CI/CD pipeline and build status. They have followed the integration steps, including installing the GitLab Add-on from Splunkbase, configuring a GitLab account with the URL and a Personal Access Token in Splunk, setting environment variables for the Splunk HTTP Event Collector (HEC) endpoint and token , and using curl commands in their GitLab pipeline to send data to Splunk. Despite completing the integration, they notice that some pipeline logs are missing in Splunk, while others appear correctly. Upon further investigation, they suspect the issue is related to data formatting and log handling in Splunk. What should the team check to resolve this issue?
正解：C
解説：
When some logs arrive but others are missing or malformed, the issue is typically in sourcetype parsing: updating the gitlab_json source type settings to properly handle JSON and increasing TRUNCATE values prevents long events from being cut off, resolving the missing/mangled pipeline logs. Reinstalling the add-on or manual uploads don't address parsing, and token privileges don't affect event truncation.
質問 # 137
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IT業種は急激に発展しているこの時代で、IT専門家を称賛しなければならないです。彼らは自身が持っている先端技術で色々な便利を作ってくれます。それに、会社に大量な人的·物的資源を節約させると同時に、案外のうまい効果を取得しました。彼らの給料は言うまでもなく高いです。そのような人になりたいのですか。羨ましいですか。心配することはないです。Xhs1991のECCouncilの312-97トレーニング資料はあなたに期待するものを与えますから。Xhs1991を選ぶのは、成功を選ぶということになります。
312-97試験準備: https://www.xhs1991.com/312-97.html
P.S. Xhs1991がGoogle Driveで共有している無料かつ新しい312-97ダンプ：https://drive.google.com/open?id=16FM2CQI5oA6rRVDu3VRN9fMKPfRZWPA7