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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Designing Cisco Security Infrastructure (DCSI) |
| Exam Number: | 300-745 |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Related Certifications: | CCIE Security CCNP Security |
| Real Exam Qty: | Approximately 55–65 |
| Exam Price: | $300 USD (may vary by region) |
| Available Languages: | English, Japanese |
| Exam Format: | Multiple choice, Drag and drop, Multiple response, Simulation / scenario-based questions |
| Recommended Training: | Cisco Learning Network - DCSI Cisco Official Training: Designing Cisco Security Infrastructure |
| Exam Registration: | Cisco Certification Registration Pearson VUE Cisco Exams |
| Sample Questions: | Cisco 300-745 Sample Questions |
| Exam Way: | Available via Pearson VUE test centers and online proctored exam |
| Pre Condition: | Recommended: CCNA-level knowledge. Required for CCNP Security: Passing 350-701 SCOR core exam plus one concentration exam such as 300-745 DCSI. |
| Official Syllabus URL: | https://www.cisco.com/c/en/us/training-events/training-certifications/exams/current-list/300-745-dsci.html |
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NEW QUESTION # 32
A software development company relies on GitHub for managing the source code and is committed to maintaining application security. The company must ensure that known software vulnerabilities are not introduced to the application. The company needs a capability within GitHub that can analyze semantic versioning and flag any software components that pose security risks. Which GitHub feature must be used?
Answer: B
Explanation:
Dependabot is a GitHub feature that automatically scans project dependencies, analyzes semantic versioning, and flags or updates components with known vulnerabilities. This prevents insecure software libraries from being introduced into the application.
NEW QUESTION # 33
A security engineer on an application design team must choose a framework of attack patterns to evaluate during threat modeling. Which framework provides the common set of attacks?
Answer: D
Explanation:
In the "Risk, Events, and Requirements" domain of the Cisco SDSI curriculum, understanding how to systematically identify and mitigate threats is essential.MITRE CAPEC (Common Attack Pattern Enumeration and Classification)is a comprehensive dictionary and classification scheme for known attack patterns used by adversaries. It is specifically designed to help security engineers, developers, and designers understand how an attacker might exploit a system. By using CAPEC during the threat modeling phase, an engineer can look at specific "attack patterns"-such as SQL injection, Cross-Site Scripting (XSS), or Man-in- the-Middle-to see if the application's architecture is resilient against them.
UnlikeCisco SAFE(Option A), which is an architectural guide providing best practices for designing secure networks, orGDPR(Option B) andSOC2(Option D), which are regulatory and compliance frameworks focused on privacy and operational auditing, CAPEC is purely technical and focused on the "how" of an attack. It provides the granular data necessary to simulate attacks and build robust defenses into the application design. Integrating CAPEC into the development lifecycle allows teams to move beyond broad risks and address the specific methods attackers use to bypass security controls. This alignment with the MITRE knowledge base ensures that the security infrastructure is designed with a realistic understanding of modern adversarial tactics, which is a core objective for Cisco security professionals.
NEW QUESTION # 34
A software development company relies on GitHub for managing the source code and is committed to maintaining application security. The company must ensure that known software vulnerabilities are not introduced to the application. The company needs a capability within GitHub that can analyze semantic versioning and flag any software components that pose security risks. Which GitHub feature must be used?
Answer: B
Explanation:
In modern DevSecOps, managing third-party dependencies is a major security challenge.Dependabot(often stylized as Depend-a-bot) is the specific GitHub feature designed to automate the identification and updating of vulnerable dependencies. It works by scanning the application's manifest files (like package.json or requirements.txt) and analyzing thesemantic versioningof the included libraries.
When a known vulnerability (CVE) is reported in a specific version of a library used by the application, Dependabot flags the security risk and alerts the development team. Most importantly, it can automatically generate pull requests to upgrade the dependency to the minimum secure version that resolves the vulnerability. This ensures that the application remains secure without requiring manual tracking of every third-party component.
WhileGitHub Actions(Option C) can be used to run security scanners (like SAST tools), it is a general automation framework, not a dedicated dependency analysis tool.Artifact attestations(Option D) are used to prove the provenance and integrity of a build, andSealed boxes(Option B) is not a standard GitHub security feature related to vulnerability scanning. Utilizing Dependabot directly supports the Cisco SDSI objective of
"Securing the CI/CD pipeline" by proactively managing the Software Bill of Materials (SBOM) and ensuring that vulnerable components do not reach the production environment.
NEW QUESTION # 35
How is generative AI used in securing networks?
Answer: A
Explanation:
The integration ofArtificial Intelligence (AI)andGenerative AI (GenAI)into network security is a pivotal component of theCisco SDSI v1.0blueprint. While traditional security mechanisms rely on deterministic rules and static signatures, GenAI leverages large-scale telemetry data to understand the baseline behavior of a specific network environment. By processing vast amounts of flow logs, packet metadata, and user activity, AI models candetect unusual patterns-often referred to as anomalies-that signify sophisticated threats such as zero-day exploits, lateral movement, or slow-and-low data exfiltration.
In a modern security architecture, GenAI enhances the "Visibility and Monitoring" domain by identifying deviations that would be invisible to human analysts. For instance, if an application suddenly changes its communication frequency or connects to a previously unknown internal segment, the AI can flag this as a potential compromise. Unlike Option A or B, which focus on operational efficiency and performance, or Option C, which is a reporting and compliance function, the use of AI forbehavioral analyticsdirectly strengthens the threat detection lifecycle. Cisco products likeSecure Network Analytics(Stealthwatch) and Cognitive Intelligenceuse these AI capabilities to transition from reactive defense to a proactive posture, reducing the window of opportunity for attackers and aligning with the Cisco SAFE principle of continuous monitoring and pervasive visibility.
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NEW QUESTION # 36
Which two best practices align with incident response and compliance objectives? (Choose two.)
Answer: A,B
Explanation:
Immutable logs preserve evidence integrity, while real-time monitoring allows faster detection and response-both essential for incident response and regulatory compliance.
NEW QUESTION # 37
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