All Cisco SDSI 300-745 certification exam dumps, study guide, training courses are Prepared by industry experts. PrepAway's ETE files povide the 300-745 Designing Cisco Security Infrastructure practice test questions and answers & exam dumps, study guide and training courses help you study and pass hassle-free!

300-745 SDSI: Designing Cisco Security Infrastructure

Cisco’s 300-745 SDSI exam is a current concentration for CCNP Security. Unlike implementation-heavy concentrations that center on one platform, SDSI validates security architecture decisions across infrastructure, applications, risk, incident response, artificial intelligence, automation, and DevSecOps. Cisco’s current v1.0 blueprint remains active in 2026, so candidates should study it as a design exam rather than searching for a newer version number.

The exam asks a recurring question: given business and technical requirements, which security approach should the architect select or modify? That means several answers may be technically possible, but only one may fit the threat model, compliance obligation, application architecture, operating model, and cost of failure presented in the scenario.

Strong preparation therefore requires comparative reasoning. You should be able to explain why one control is preferable to another, which assumptions the design makes, how risk changes after an incident, and what automation can safely move into a delivery pipeline.

Security architecture begins with threats and requirements

SDSI is not a catalog of Cisco products. The first design step is identifying what must be protected, from whom, under which constraints. Endpoints, remote users, IoT devices, SaaS, data-center applications, and multicloud workloads create different attack surfaces. A good architecture maps those assets and trust boundaries before selecting controls.

Threat modeling helps make that analysis concrete. Attacker goals, likely entry points, data flows, privilege boundaries, and recovery requirements can reveal whether the largest risk is credential theft, lateral movement, application abuse, exposed management planes, or data exfiltration. Developing threat-modeling instincts is useful because SDSI scenarios reward candidates who can connect a control to a specific risk.

Identity, endpoint, and email controls protect the human attack surface

The secure-infrastructure domain explicitly includes endpoint and client devices, MFA, passwordless authentication, continuous trust, identity intelligence, phishing, ransomware, business email compromise, malware, and spoofing. These are not separate silos. A stolen credential becomes more dangerous when the device is unmanaged, email authentication is weak, and access decisions ignore contextual risk.

Design layered controls. Strong identity may combine phishing-resistant MFA and device trust. Endpoint protection can detect malicious behavior after access. Email defenses reduce delivery of social-engineering payloads. Segmentation limits what a compromised identity can reach. The architecture should assume that any one control can fail and make the remaining layers meaningful.

Network and tunnel choices must fit the traffic and trust model

SDSI includes SD-WAN, IPsec, MPLS, GRE, DMVPN, and public-cloud tunnel options along with management-plane and control-plane protection. The exam is not asking candidates to declare one tunneling technology universally best. It asks them to select based on topology, encryption requirements, scale, operational complexity, cloud connectivity, routing, and business continuity.

Firewall architecture also requires comparison: traditional and next-generation firewalls, WAFs, IDS/IPS, distributed controls, eBPF approaches, and host-based firewalls protect different layers. The active 350-701 SCOR core provides useful implementation context, but SDSI expects candidates to justify where a control should be placed and why.

Management and control planes deserve their own design because compromise there can bypass protections applied to user traffic. Administrative access should use dedicated identities, strong authentication, restricted source networks or secure access paths, encrypted protocols, logging, and separation of duties. Routing control planes, device APIs, orchestration systems, and cloud consoles should be treated as high-value assets rather than assumed trustworthy infrastructure.

Application architecture changes the meaning of segmentation

Monolithic applications in a data center can often be modeled with relatively stable tiers and network zones. Cloud-native applications introduce microservices, containers, serverless functions, ephemeral infrastructure, and service-to-service traffic that can change rapidly. Static subnet boundaries may no longer express the real trust relationships.

SDSI therefore emphasizes segmentation and microsegmentation based on application and flow data. A design should identify which services genuinely need to communicate, enforce the smallest practical set of relationships, and preserve enough telemetry to validate the policy. The architecture must also account for SSL offload, decryption, DLP, WAF behavior, endpoint controls, and east-west inspection where the risk justifies it.

Emerging technologies create both new capabilities and new risk

The blueprint explicitly calls out generative AI, machine learning, and quantum computing. Candidates do not need to become data scientists or cryptographers, but they should understand how these technologies alter security assumptions. Generative AI can introduce data leakage, prompt injection, unsafe model integrations, and new automation opportunities. Machine learning systems depend on data integrity and model governance. Quantum computing raises long-term questions about cryptographic resilience.

Architecture should respond with policy, inventory, data classification, monitoring, model or application controls, and planned cryptographic agility rather than with vague “AI security” labels. The design task is to identify which existing controls still work, which new trust boundaries appear, and which risks require changes to the security lifecycle.

Resilience is a security property as well. DDoS, ransomware, identity-provider failure, cloud-region outages, and misconfiguration can all make a service unavailable even when confidentiality remains intact. A design should identify critical dependencies, recovery objectives, alternate control paths, and the minimum services required to continue business operations. Security architecture that cannot tolerate failure may encourage emergency bypasses at the worst possible moment.

Risk frameworks turn architecture into a repeatable process

SDSI references frameworks such as NIST SP 800-37, MITRE CAPEC, and Cisco SAFE, along with regulatory and industry compliance requirements. Frameworks help teams avoid designing from personal preference. They provide shared vocabulary for threats, controls, risk treatment, governance, and the lifecycle of security decisions.

Compliance should be treated as a design constraint rather than proof that the system is secure. A regulation may require logging, data residency, encryption, retention, separation of duties, or incident-reporting capabilities. The architect still has to determine how those requirements are implemented in the actual network and application environment.

Incidents should change the design when evidence exposes a weak assumption

The blueprint expects candidates to understand how SOC tooling supports incident handling and how a design should be modified after an incident. This is an important architectural habit. A breach is not only an operational event; it is evidence that one or more assumptions about identity, segmentation, visibility, application behavior, or response were incomplete.

Post-incident design work should ask what allowed the attacker to enter, move, persist, or exfiltrate data and which telemetry was missing. The answer may require stronger access policy, different segmentation, additional logging, improved endpoint coverage, more resilient identity, or a safer recovery path. Avoid solving every incident by adding another alert; sometimes the architecture itself has to change.

Metrics help determine whether the architecture is improving risk rather than only adding controls. Useful measures can include coverage of strong authentication, time to revoke access, segmentation-policy violations, percentage of internet applications under approved protection, incident detection time, or the number of high-risk misconfigurations discovered before deployment. Choose measures that connect to the design objective instead of counting alerts or tools.

Automation and DevSecOps move controls earlier in the delivery lifecycle

SDSI includes API tooling, Infrastructure as Code, monitoring, container scanning, telemetry, alerting, SOAR, and DevSecOps workflow decisions. The architectural value of automation is consistency and speed, but unsafe automation can scale mistakes just as efficiently as it scales correct policy. Controls need validation, versioning, secrets management, least privilege, and rollback.

In a DevSecOps pipeline, security checks can run before a workload reaches production. IaC can be scanned for unsafe configurations, container images can be analyzed, dependencies can be assessed, and deployment gates can enforce policy. A broader DevSecOps perspective is useful, but the SDSI exam is specifically about selecting architecture and workflow steps that reduce risk without making delivery impossible.

Architecture reviews should also document assumptions. A design may assume every remote endpoint is managed, a cloud service supports a specific logging interface, or a partner network enforces MFA. If that assumption changes, the architecture may no longer be safe. Writing assumptions explicitly makes scenario questions easier because you can identify which design choice must change when the requirements change.

Third-party and supply-chain dependencies should appear in architecture reviews as well. SaaS providers, managed security services, software libraries, identity platforms, and cloud marketplaces extend the trust boundary beyond systems the enterprise directly controls. The design should define onboarding criteria, minimum security requirements, monitoring, offboarding, and what happens if a provider is compromised or unavailable. A resilient architecture plans for dependency failure before it becomes an incident.

Do not ignore operational ownership. A design that requires constant tuning by a team that does not exist will eventually drift or be bypassed. Match controls to the organization’s staffing, skills, response process, and maintenance capacity. Sometimes the safer architecture is the one that provides slightly less theoretical flexibility but can be operated consistently, monitored clearly, and recovered quickly by the people who actually support it.

Review designs from both an attacker and operator perspective. The attacker looks for the easiest trust relationship to abuse; the operator needs enough visibility and simplicity to detect and contain that abuse. Architecture is strongest when those perspectives are considered together.

Study SDSI by defending design decisions, not memorizing diagrams

The current 300-740 SSCA concentration is a useful counterpart because it implements identity-aware cloud access, SSE, ZTNA, DLP, and microsegmentation in more operational detail. SDSI asks when such controls are appropriate and how they fit into a larger security design. Similar relationships exist with identity, firewall, and other concentrations.

Create architecture scenarios and force yourself to defend every control. Identify assets, threats, users, data, trust boundaries, regulatory requirements, recovery objectives, and operating constraints. Then choose identity, network, application, segmentation, logging, response, and automation controls. Review the result against security-architecture principles such as those discussed in security architecture and engineering. If you can explain the tradeoffs and how the design changes when assumptions change, you are studying the kind of reasoning SDSI is designed to test.

Cisco SDSI 300-745 practice test questions and answers, training course, study guide are uploaded in ETE Files format by real users. Study and Pass 300-745 Designing Cisco Security Infrastructure certification exam dumps & practice test questions and answers are to help students.