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>> 312-97 Clearer Explanation <<
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NEW QUESTION # 116
Emma Rodriguez, a DevSecOps engineer at CyberNova Ltd., is responsible for securing a cloud-native e-commerce platform. Despite implementing security best practices during code commits, builds, and testing, the team recently discovered security vulnerabilities in the production environment, such as misconfigured cloud storage permissions and exposed API keys. To prevent similar issues, Emma decides to implement a final layer of security to identify vulnerabilities that are missed in pre-production testing activities.
Answer: A
Explanation:
Deploy-time checks are the final security layer: they evaluate configurations and artifacts as they are released into production, catching issues missed earlier-such as misconfigured cloud storage permissions and exposed API keys in the live environment. Commit-, build-, and test-time checks all occur pre-production and were already in place when the vulnerabilities slipped through.
NEW QUESTION # 117
(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?)
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 # 118
GainInsights is an IT company that develops mobile applications software. On February 11, 2022, the organization became a victim of a cyber-attack. The attacker targeted the organization's application and compromised some important functionality. After the incident, the DevSecOps team of GainInsights identified the cause of the security issue, resolved it, and noted it for future reference. Based on this information, which of the following set of tests was conducted by GainInsights?
Answer: C
Explanation:
A blameless post-mortem is conducted after a security incident to analyze what happened, why it happened, and how similar incidents can be prevented in the future--without assigning individual blame. The key indicators in the scenario are that the team identified the cause, resolved the issue, and documented lessons learned for future reference. Security acceptance tests and smoke tests are pre-release validation activities, while white-box testing focuses on code-level analysis rather than incident review. Blameless post-mortems are a cornerstone of DevSecOps culture, encouraging transparency, continuous learning, and systemic improvement during the Operate and Monitor stage.
NEW QUESTION # 119
Grace Odhiambo, a DevSecOps engineer at a Nairobi-based agritech firm, needs to scan her organization's Java-based application source code for insecure coding patterns such as SQL injection and hardcoded credentials without executing the application. Which category of testing should she use?
Answer: D
Explanation:
SAST analyzes source code, bytecode, or binaries "white-box" style without executing the application, making it ideal for detecting insecure coding patterns like SQL injection-prone queries or hardcoded secrets directly in the codebase during the Code stage. DAST, by contrast, requires a running application and tests it externally as a black box, so it cannot be used purely on source code. IAST combines elements of SAST and DAST by instrumenting a running application to observe code execution paths in real time, which also requires execution. RASP is not a testing methodology at all but a runtime defense mechanism embedded in the application to detect and block attacks as they occur in production. Since Grace wants to scan source code without running the application, SAST is correct.
NEW QUESTION # 120
Victor Garber is a DevSecOps team leader in SanSec Pvt. Ltd. His organization develops various types of software products and web applications. Currently, his team is working on security of Java-based web application product. How can Victor identify vulnerabilities that are missed in pre-production testing activities?
Answer: A
Explanation:
Deploy-time checks are designed to identify vulnerabilities that may not surface during earlier stages such as commit-time, build-time, or test-time checks. These checks analyze applications in environments that closely resemble or are part of production, making it possible to detect configuration issues, runtime vulnerabilities, and environment-specific weaknesses. Pre- production testing often cannot fully replicate production conditions, so deploy-time checks act as an additional safety net. Commit-time and build-time checks focus on code quality and static analysis, while test- time checks validate application behavior in controlled environments. Deploy- time checks therefore help Victor uncover vulnerabilities missed earlier, improving overall security assurance before or during deployment.
NEW QUESTION # 121
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