BTW, DOWNLOAD part of Dumps4PDF 300-745 dumps from Cloud Storage: https://drive.google.com/open?id=1v9H2SKF_5IeAsktyoDyAInobT1UL5R8V
We are conscious of the fact that most of the candidates have a tight schedule which makes it tough to prepare for the Designing Cisco Security Infrastructure exam preparation. Dumps4PDF provides you Cisco 300-745 Exam Questions in 3 different formats to open up your study options and suit your preparation tempo.
| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Designing Cisco Security Infrastructure (SDSI) v1.0 |
| Exam Number: | 300-745 |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 3 years |
| Passing Score: | Pass/Fail (scaled score 750–850 / 1000) |
| Related Certifications: | Cisco Certified Specialist – Designing Cisco Security Infrastructure |
| Exam Price: | USD 300 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 55–65 |
| Exam Format: | Build a tree, Simulation, Hot area, Multiple choice, Fill in the blank |
| Recommended Training: | Cisco U. SDSI Learning Path Designing Cisco Security Infrastructure (SDSI) Training |
| Exam Registration: | Cisco Certification Exam Registration |
| Sample Questions: | Cisco 300-745 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No formal prerequisites; recommended knowledge of security architecture, threat modeling, and secure system design |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/exams/sdsi.html |
>> 300-745 Related Certifications <<
The Dumps4PDF is one of the top-rated and reliable platforms that has been helping the Designing Cisco Security Infrastructure (300-745) exam candidates for many years. Over this long time period, these 300-745 questions have helped countless 300-745 exam candidates. They all got help from the top-rated 300-745 Practice Test questions and easily passed their dream Cisco 300-745 certification exam and now they have become certified 300-745 professionals and doing jobs in top world brands.
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
NEW QUESTION # 53
A technology company recently onboarded a new customer in the medical space. The customer needs a solution to provide data integrity across remote sites. Which solution must be used to meet this requirement?
Answer: D
Explanation:
In the context of theCisco Security Infrastructure (300-745 SDSI)objectives, ensuringdata integrityis a fundamental requirement, particularly in the healthcare sector where the accuracy of medical records at remote sites is critical for patient safety.Hashingis the primary mathematical process used to verify that data has not been altered or tampered with during transit between locations.
Hashing works by applying a cryptographic algorithm (such as SHA-256) to a data set to produce a fixed-size string of characters called a "hash" or "checksum." When data is sent from one remote site to another, the sender calculates a hash of the original data. Upon arrival, the receiving site recalculates the hash using the same algorithm. If the two hashes match exactly, the receiver is assured that the data is identical to the original and has maintained its integrity. Even a single-bit change in the original data would result in a completely different hash value.
WhileAuthentication(Option D) andPreshared Keys(Option C) are essential for verifying the identity of the sites and establishing secure tunnels (like IPsec VPNs), they do not, by themselves, provide the mathematical proof of content integrity.Data Masking(Option B) is a privacy technique used to hide sensitive information from unauthorized viewers, but it does not prevent or detect data corruption or unauthorized modifications.
Therefore, hashing is the specified technical control for achieving verifiable data integrity across distributed infrastructures.
NEW QUESTION # 54
What is a use for AI in securing network infrastructure?
Answer: B
Explanation:
In the architecture of modern security, Artificial Intelligence (AI) and Machine Learning (ML) are leveraged to move beyond reactive, signature-based defenses. One of the most significant uses of AI in securing network infrastructure is the detection ofzero-day attacks(often referred to in exam contexts as "day zero" attacks). A zero-day attack exploits a vulnerability that is unknown to the software vendor or the public, meaning no signature exists for traditional firewalls or antivirus software to block it.
AI identifies these threats throughbehavioral analysisandanomaly detection. By establishing a highly granular baseline of "normal" network traffic patterns-including flow direction, packet size, inter-packet arrival times, and protocol behavior-AI models can detect subtle deviations that indicate a malicious exploit.
For example,Cisco Secure Network Analytics(formerly Stealthwatch) andEncrypted Threat Analytics (ETA)use ML to identify the cryptographic "fingerprints" of malware even within encrypted traffic, without the need for decryption. This allows the security infrastructure to identify and mitigate threats at the moment they appear, rather than waiting for a vendor to release a signature. While load balancing (Option B), traffic shaping (Option C), and Quality of Service (Option D) are critical for network performance and availability, they are traditional traffic engineering functions that do not inherently provide the advanced threat detection capabilities offered by AI-driven security models. Within the Cisco SDSI objectives, AI is positioned as the primary technology for achieving proactive visibility and reducing the "Mean Time to Detect" (MTTD) for previously unseen vulnerabilities.
NEW QUESTION # 55
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.
========
NEW QUESTION # 56
When designing security for applications distributed across multiple cloud providers, what is a key consideration?
Answer: C
Explanation:
Consistent identity and access management policies across cloud providers ensure uniform security controls and simplify governance in multi-cloud environments.
NEW QUESTION # 57
The network security team of a private university is conducting a comprehensive audit to evaluate the security posture across the network infrastructure. During the review, the security team found that a trusted vendor disclosed serious vulnerabilities identified in a product that plays a crucial role in the university's CI/CD pipeline. The security team must act promptly to mitigate the potential risks posed by these vulnerabilities.
Which action must the security team take first in response to the disclosure?
Answer: A
Explanation:
According to theCisco Security Incident Responselifecycle and theNIST SP 800-61standards referenced in the SDSI objectives, the very first step in responding to a third-party vulnerability disclosure isIdentification and Validation. Before a team can patch, notify stakeholders, or monitor for exploits, they must perform an asset inventory check to confirm whether the specific vulnerable version of the product is actually running within their environment.
In a complex CI/CD pipeline, multiple tools and versions coexist. Jumping straight to patching (Option D) without validation can lead to unnecessary downtime or "breaking" integrated workflows if the vulnerability doesn't actually apply to the version in use. Similarly, using an IDS (Option A) is a detection/monitoring step that follows the confirmation of risk. Notifying customers (Option B) is a later phase in the incident response process, usually reserved for confirmed breaches or significant service impacts. By confirming the presence and version of the software first, the security team can accurately assess theblast radiusand prioritize remediation efforts based on the actual risk to the university's specific infrastructure. This systematic approach ensures that resources are allocated efficiently and that the security posture is managed based on verified data rather than assumptions.
========
NEW QUESTION # 58
......
New 300-745 Test Question: https://www.dumps4pdf.com/300-745-valid-braindumps.html
P.S. Free & New 300-745 dumps are available on Google Drive shared by Dumps4PDF: https://drive.google.com/open?id=1v9H2SKF_5IeAsktyoDyAInobT1UL5R8V