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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Designing Cisco Security Infrastructure (DCSI) |
| Exam Number: | 300-745 |
| Available Languages: | English, Japanese |
| Exam Format: | Drag and drop, Simulation / scenario-based questions, Multiple choice, Multiple response |
| Exam Price: | $300 USD (may vary by region) |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Approximately 55โ65 |
| Related Certifications: | CCIE Security CCNP Security |
| Recommended Training: | Cisco Official Training: Designing Cisco Security Infrastructure Cisco Learning Network - DCSI |
| 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 # 58
A global hotel chain is using Cisco ISE and Cisco switches to manage the network. The hotel company wants to enhance network security by segmenting users and endpoints. The company must ensure that devices within the same VLAN cannot communicate with each other. The goal is to prevent cross-communication without the use of dynamic access control lists. Which action must be taken using Cisco ISE to meet the requirement?
Answer: D
Explanation:
Cisco TrustSec is a next-generation security architecture that provides software-defined segmentation to simplify the provisioning of network access control. In a hotel environment where guest privacy is paramount, TrustSec is the ideal solution to prevent "peer-to-peer" or cross-communication between devices located within the same VLAN. Traditional methods for this isolation, such as Private VLANs (PVLANs) or complex, manually managed Access Control Lists (ACLs), can be extremely difficult to maintain at scale across a global infrastructure.
TrustSec replaces these IP-based or VLAN-based restrictions with Scalable Group Tags (SGTs). When a device connects to the network, Cisco Identity Services Engine (ISE) authenticates the endpoint and assigns it a specific SGT based on its role, identity, or security posture. The network infrastructure (switches) then enforces policy based on these tags. To meet the requirement of preventing communication between devices in the same VLAN without using dynamic ACLs (dACLs), ISE can be configured to assign the same SGT to guest devices and then apply a Security Group ACL (SGACL) that denies traffic where both the source and destination tags are identical. This "intra-SGT" isolation effectively blocks devices from communicating with their neighbors on the same local segment. This approach aligns with the Cisco SAFE architecture by providing granular, identity-aware segmentation that is topology-independent, allowing the hotel chain to maintain a simplified network structure while ensuring robust client security.
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NEW QUESTION # 59
A company has been facing recurring issues with SQL injection vulnerabilities affecting the products, leading to significant disruptions for customers. To address the security concerns proactively, the company wants to integrate a tool into the CI/CD pipeline. The tool must be capable of identifying vulnerabilities such as SQL injection early in the development process, which allows developers to rectify issues before the code is deployed. Which solution must be implemented to meet the requirement?
Answer: B
Explanation:
In the framework of theDesigning Cisco Security Infrastructure (300-745 SDSI)curriculum, the "Shift- Left" security strategy is fundamental to modern DevSecOps. To identify vulnerabilities like SQL injection at the earliest possible stage-specifically before the code is even compiled or deployed-Static Application Security Testing (SAST)is the required solution. SAST tools analyze the application's source code, byte code, or binaries without actually executing the program.
By integrating SAST tools like Checkmarx or SonarQube into the CI/CD pipeline, the security team can automate the scanning of every code commit or pull request. These tools use sophisticated algorithms to trace data flows and identify dangerous patterns, such as user-controlled input being concatenated directly into SQL queries without proper sanitization or parameterization. This proactive approach allows developers to receive immediate feedback within their native workflow, enabling them to fix security flaws before they progress into later, more expensive stages of the development lifecycle.
In contrast,Dynamic Application Security Testing (DAST)(Option D) requires a running instance of the application and typically occurs much later in the pipeline, such as during the testing or staging phase. While DAST is excellent for finding runtime vulnerabilities, it does not meet the requirement of identifying issues
"early in the development process" as effectively as SAST.Build log observability tools(Option B) and workflow automation platforms(Option C) provide infrastructure and visibility but do not possess the specialized engine required to perform deep code analysis for application-layer vulnerabilities like SQL injection. Implementing SAST ensures that security is a foundational element of the code-writing phase, aligning with Cisco's vision for a secure, automated software supply chain.
NEW QUESTION # 60
A developer company recently implemented a testing environment based on Linux operating system. The company needs a technology solution that produces tracing and filtering capabilities in the Linux kernel.
Which technology meets these requirements without modifying the kernel source code?
Answer: B
Explanation:
In modern secure infrastructure design, especially within high-performance testing and developer environments, the ability to observe and filter traffic at a deep level is crucial. eBPF (extended Berkeley Packet Filter) is a revolutionary technology that allows developers to run sandboxed programs within the Linux kernel. The primary advantage of eBPF is that it enables sophisticated tracing, monitoring, and network filtering capabilities without the need to modify the underlying kernel source code or load intrusive kernel modules.
In the context of the Cisco SDSI objectives, eBPF is highlighted as a key component of distributed firewalling and cloud-native security architectures. It operates by attaching programs to various "hooks" in the kernel, such as network events, tracepoints, or system calls. When a packet enters the system or a specific event occurs, the eBPF program can inspect the context and make high-speed decisions on whether to allow, drop, or redirect traffic. This provides a much more efficient and flexible alternative to traditional technologies like IPTables. Because eBPF programs are verified for safety by a JIT compiler before being executed, they do not risk crashing the kernel, making them ideal for dynamic developer environments. Unlike Vector Packet Processing (VPP) (Option D), which moves packet processing into userspace, or standard Next-Generation Firewalls (NGFW) (Option C), which are typically separate appliances, eBPF provides "in-kernel" observability and enforcement that is programmable and highly scalable for microservices and containerized applications.
NEW QUESTION # 61
Which design policy addresses harmful content creation by generative AI?
Answer: C
Explanation:
The creation of harmful content (such as hate speech, misinformation, or malicious code) by generative AI models is a major concern in modern security design. The most effective design policy to mitigate this is the Human-in-the-loop (HITL)approach. This involves integrating human oversight and intervention at various stages of the AI's operation, particularly during the verification of the model's output before it is published or acted upon.
According to Cisco SDSI objectives regarding AI security, HITL ensures that automated decisions are subject to ethical judgment and contextual awareness that AI currently lacks. Humans can provide "Reinforcement Learning from Human Feedback" (RLHF) to tune the model's safety filters, ensuring it refuses to generate toxic or prohibited content. WhileWatermarking(Option B) helps identify content as AI-generated after the fact, it does not prevent thecreationof harmful material.Retrieval Augmented Generation (RAG)(Option C) is a technique for grounding AI in specific data to reduce "hallucinations" but doesn't inherently filter for harmful intent.Quantum resistant encryption(Option A) is a cryptographic standard unrelated to content moderation. HITL remains the primary safeguard for ensuring AI outputs align with safety guidelines and organizational requirements.
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NEW QUESTION # 62
Which two approaches support secure communication in containerized microservices architectures? (Choose two.)
Answer: A,C
Explanation:
Mutual TLS (mTLS) provides encrypted communication and mutual authentication between services. A service mesh enforces centralized security policies and automates secure communication across microservices.
NEW QUESTION # 63
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