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Updated 312-97 Dumps | Test 312-97 Dumps Demo

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ECCouncil 312-97 Exam Syllabus Topics:

+-----------------------------------+-----------------------------------+ | Section | Objectives | +-----------------------------------+-----------------------------------+ | Topic 1: DevSecOps Pipeline | - CI/CD security integration\ | | Integration | | | | - 1. Pipeline automation | | | security controls | | | - 2. Secure build and deployment | | | pipelines | | | | | | - Toolchain security\ | | | | | | - 1. Dependency and artifact | | | scanning | | | - 2. SAST/DAST tools | +-----------------------------------+-----------------------------------+ | Topic 2: Compliance, Risk & | - Compliance frameworks\ | | Governance | | | | - 1. Audit and governance | | | controls | | | - 2. Security policy enforcement | | | | | | - Risk management\ | | | | | | - 1. Security risk assessment | | | - 2. Vulnerability management | | | lifecycle | +-----------------------------------+-----------------------------------+ | Topic 3: Secure Software | - Secure requirements and design | | Development Lifecycle (SDLC) | principles\ | | | | | | - 1. Secure architecture design | | | - 2. Threat modeling in SDLC | | | | | | - Secure coding practices\ | | | | | | - 1. Code review and static | | | analysis | | | - 2. Vulnerability prevention | | | techniques | +-----------------------------------+-----------------------------------+ | Topic 4: Cloud & Container | - Cloud security fundamentals\ | | Security | | | | - 1. AWS / Azure security | | | controls | | | - 2. IAM and identity management | | | | | | - Container security\ | | | | | | - 1. Kubernetes security basics | | | - 2. Docker security | +-----------------------------------+-----------------------------------+ | Topic 5: Security Operations & | - Continuous monitoring\ | | Monitoring | | | | - 1. Logging and alerting | | | - 2. Security incident detection | | | | | | - Incident response\ | | | | | | - 1. Response automation | | | - 2. Post-incident analysis | +-----------------------------------+-----------------------------------+

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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q68-Q73):

NEW QUESTION # 68\ (Christopher Brown has been working as a DevSecOps engineer in an IT company that develops software and web applications for an ecommerce company. To automatically detect common security issues and coding error in the C++ code, she performed code scanning using CodeQL in GitHub. Which of the following entries will Christopher find for CodeQL analysis of C++ code?)

  • A. CodeQL/Analyze (cp) (push-request).
  • [B. CodeQL/Analyze (cpp) (pull-request).]{style="COLOR: red"}
  • C. CodeQL/Analyze (cp) (pull-request).
  • D. CodeQL/Analyze (cpp) (push-request).

Answer: B

Explanation:\ When GitHub Code Scanning is enabled using CodeQL, each supported programming language is identified by a specific language key. For C++ code, CodeQL uses the identifiercpp, not \"cp.\" CodeQL workflows are commonly configured to run during pull request events so that security issues and coding errors can be detected and reviewed before code is merged into the main branch. As a result, the CodeQL analysis entry displayed in GitHub Actions and the Security tab for C++ pull request analysis appears asCodeQL/Analyze (cpp) (pull-request). Options A and B are incorrect because \"cp\" is not a valid CodeQL language identifier.\ Option C uses the correct language identifier but references an incorrect event format. Identifying the correct CodeQL analysis entry helps DevSecOps engineers confirm that scans are executing correctly for the intended language during the Code stage and that security feedback is available early in the development lifecycle.\ ========

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NEW QUESTION # 69\ Aiko Tanaka, a cloud security engineer at an Osaka retail company, is defining infrastructure using Terraform and wants to scan the Terraform configuration files for insecure settings - such as publicly exposed storage buckets or overly permissive security groups - before the infrastructure is ever provisioned. Which practice is Aiko implementing?

  • A. Dynamic Application Security Testing
  • [B. Infrastructure as Code (IaC) security scanning]{style="COLOR: red"}
  • C. Penetration testing of live cloud resources
  • D. Log aggregation

Answer: B

Explanation:\ IaC security scanning tools (such as Checkov, tfsec, or Terrascan) statically analyze Infrastructure as Code definitions like Terraform, CloudFormation, or ARM templates to identify misconfigurations -- such as publicly accessible storage buckets or overly permissive security group rules -- before any actual cloud resources are provisioned, matching Aiko\'s exact goal of pre-provisioning detection. DAST tests running applications, not declarative infrastructure definitions, and requires a live target. Penetration testing of live cloud resources occurs after resources already exist and are deployed, which contradicts Aiko\'s \"before provisioned\" requirement. Log aggregation collects and centralizes log data from running systems for analysis, unrelated to pre-deployment configuration scanning. Since Aiko wants to catch misconfigurations in Terraform files prior to provisioning, IaC security scanning is correct.

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NEW QUESTION # 70\ (Steven Smith has been working as a DevSecOps engineer in an IT company that develops software products related to the financial sector. His team leader asked him to integrate Conjur with Jenkins to secure the secret credentials. Therefore, Steven downloaded Conjur.hpi file and uploaded it in the Upload Plugin section of Jenkins. He declared host and layers, and declared the variables. Which of the following commands should Steven use to set the value of variables?)

  • [A. \$ conjur variable set -i \< policy-path-of-variable-name > -v \< secret-value >.]{style="COLOR: red"}
  • B. \$ conjur variable set -s \< policy-path-of-variable-name > -p \< secret-value >.
  • C. \$ conjur variable set -v \< policy-path-of-variable-name > -i \< secret-value >.
  • D. \$ conjur variable set -p \< policy-path-of-variable-name > -s \< secret-value >.

Answer: A

Explanation:\ In Conjur secret management, variables are first declared in policy files and then populated with actual secret values using the Conjur CLI. The correct command to assign a value to a variable is conjur variable set, where the -i option specifies the fully qualifiedpolicy path of the variable name, and the -v option specifies the secret valueto be stored securely. This command writes the secret into Conjur\'s encrypted vault and associates it with the declared variable so that Jenkins jobs can retrieve it securely at runtime. The other options misuse flags or reverse their meanings, which would result in invalid commands or incorrect secret handling. Integrating Conjur with Jenkins during the Build and Test stage ensures that sensitive credentials such as passwords, API keys, and tokens are never hard-coded in pipeline scripts or source code. Instead, secrets are dynamically fetched when required, supporting least-privilege access, auditability, and compliance requirements-critical for financial-sector applications.\ ========

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NEW QUESTION # 71\ (Jeremy Renner has been working as a senior DevSecOps engineer at an IT company that develops customized software to various customers stretched across the globe. His organization is using Microsoft Azure DevOps Services. Using an IaC tool, Jeremey deployed the infrastructure in Azure. He would like to integrate Chef InSpec with Azure to ensure that the deployed infrastructure is in accordance with the architecture and industrial standards and the security policies are appropriately implemented. Therefore, he downloaded and installed Chef InSpec. He used Azure CLI command for creating an Azure Service Principal with reader permission to the Azure resources, then he exported the generated credentials. After installation and configuration of Chef InSpec, he would like to create the structure and profile. Which of the following commands should Jeremy use to create a new folder jyren-azureTests with all the required artifacts for InSpec tests?)

  • A. inspec init prof jyren-azureTests.
  • [B. inspec init profile jyren-azureTests.]{style="COLOR: red"}
  • C. chef inspec init profile jyren-azureTests.
  • D. chef inspec init profile jyren-azureTests.

Answer: B

Explanation:\ Chef InSpec provides a command-line interface for creating and executing compliance profiles. To initialize a new profile with the required directory structure, metadata file, and example controls, the correct command is inspec init profile \<profile-name>. In Jeremy\'s case, running inspec init profile jyren-azureTests creates a new folder with all required artifacts needed to write and run Azure compliance tests. Options using prof are invalid abbreviations, and prefixing the command with chef is incorrect when using the InSpec CLI directly.\ Creating a structured InSpec profile during the Build and Test stage enables automated validation of infrastructure against architectural standards and security policies, supporting Infrastructure as Code security and continuous compliance practices.\ ========

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NEW QUESTION # 72\ Fatima Zahra Bennani, a DevSecOps engineer at a Casablanca telecom, needs to verify that a specific compliance control - encryption at rest for all cloud storage buckets - is continuously enforced across the entire AWS environment, not just checked once during initial setup. Which type of tool should Fatima adopt?

  • [A. Cloud Security Posture Management (CSPM) tool]{style="COLOR: red"}
  • B. Git commit hook
  • C. Static code analyzer for application source
  • D. One-time manual audit spreadsheet

Answer: A

Explanation:\ CSPM tools (such as AWS Security Hub, Prisma Cloud, or Wiz) continuously monitor cloud environments against defined compliance benchmarks and security policies, automatically detecting configuration drift -- such as a storage bucket losing encryption-at-rest settings -- and alerting or remediating in near real time, which directly satisfies Fatima\'s need for ongoing, continuous enforcement rather than a point-in-time check. A one-time manual audit spreadsheet only captures a snapshot in time and cannot detect drift that occurs afterward. A static code analyzer for application source examines code for vulnerabilities and has no visibility into live cloud resource configuration. A Git commit hook operates on source code repository events and has no relationship to ongoing cloud infrastructure compliance monitoring. Since Fatima needs continuous, automated verification of a cloud compliance control, a CSPM tool is correct.

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NEW QUESTION # 73\ ......

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