The Cisco 300-745 exam validates your ability to design secure network infrastructure aligned with modern security frameworks and organizational risk profiles. This exam is intended for network professionals pursuing the Cisco Certified Network Professional Security credential who need to demonstrate expertise in planning, architecting, and implementing security solutions. This page provides a structured overview of the exam syllabus, question formats, and practical preparation strategies to help you study effectively and build confidence before test day.
Use this topic map to guide your study for Cisco 300-745 (Designing Cisco Security Infrastructure) within the Cisco Certified Network Professional and Cisco Certified Network Professional Security path.
The 300-745 exam uses a mix of question types to assess both foundational knowledge and applied reasoning in security design scenarios. Questions progress in difficulty and reflect real-world decision-making contexts.
Questions are weighted toward practical application, so expect scenarios that combine multiple topics and require you to justify your design choices.
Effective preparation balances topic review, practice questions, and timed practice tests. Structure your study around the four core domains and build connections between infrastructure, applications, risk management, and automation.
Explore other Cisco certifications: view all Cisco exams.
Strengthen your preparation with up-to-date resources from validexamdumps.com. These materials align to 300-745 and cover practical scenarios with clear explanations.
Visit the exam page to download the PDF, Online Practice Test, or get a bundle discount for both formats: Designing Cisco Security Infrastructure.
Secure Infrastructure and Risk/Events/Requirements typically account for the largest portion of the exam, as they form the foundation of security design. However, all four domains are tested, and questions often blend multiple topics, so balanced preparation across all areas is essential for success.
In practice, you start with Risk/Events/Requirements to understand business drivers and compliance mandates. You then design Secure Infrastructure to address those requirements, integrate Applications security to protect data and services, and layer in AI/Automation/DevSecOps to enable continuous monitoring and faster response. This end-to-end flow is reflected in scenario-based exam questions.
Hands-on experience with Cisco security products (firewalls, IDS/IPS, threat defense) and design tools strengthens your ability to answer scenario questions and simulation items. Prioritize labs that involve architecture design decisions, policy configuration, and interpreting security event outputs rather than memorizing command syntax.
Many candidates focus too heavily on product features and miss the design reasoning behind them. Avoid choosing answers based solely on technical correctness; instead, select options that best align with stated business requirements, risk tolerance, and compliance constraints. Also, read scenario details carefully, as subtle differences in requirements often change the correct answer.
In your final week, avoid introducing new topics; instead, review weak areas identified in practice tests and re-read explanations for questions you answered incorrectly. Do one full-length timed practice test to confirm your pacing and build confidence, then spend remaining time on targeted review of high-value concepts rather than re-studying material you already know well.
In preparation for an upcoming security audit, a metal production company decided to enhance the security of container-based services running in a Kubernetes environment. The company wants to ensure that all communications between applications and services are encrypted. The administrator plans to implement mTLS service between application and services to secure the data exchanges. Given the need to manage encryption at scale and maintain efficient communication across the cluster, which network transport technology must be employed?
In modern cloud-native architectures, managing security for hundreds of microservices manually is unfeasible. To implement mutual TLS (mTLS) at scale within a Kubernetes cluster, a Service Mesh (such as Istio or Cisco Service Mesh Manager) is the architectural solution of choice. A service mesh provides a dedicated infrastructure layer for handling service-to-service communication without requiring changes to the application code itself.
The service mesh operates by deploying a 'sidecar' proxy alongside every service instance. These proxies handle the heavy lifting of identity verification, certificate rotation, and the establishment of encrypted tunnels. This ensures that every data exchange is encrypted and that services only communicate with authenticated peers. While an Ingress Controller (Option A) manages traffic entering the cluster and Load Balancing (Option B) distributes traffic, neither provides the granular, internal encryption framework required for pod-to-pod mTLS. Kubernetes Network Policies (Option C) act as a distributed firewall to allow or deny traffic based on IP/Port but do not handle encryption or cryptographic identity. By choosing a Service Mesh, the company satisfies the audit requirement for end-to-end encryption and pervasive visibility into the application's communication flow, aligning with Cisco's design principles for secure, scalable microservices.
========
How is generative AI used in securing networks?
The integration of Artificial Intelligence (AI) and Generative AI (GenAI) into network security is a pivotal component of the Cisco SDSI v1.0 blueprint. 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 can detect 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 for behavioral analytics directly strengthens the threat detection lifecycle. Cisco products like Secure Network Analytics (Stealthwatch) and Cognitive Intelligence use 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.
========
After deploying a new API, the security team must identify the components of the application that are exposed to the internet and whether there are application authentication risks. Which technology must be deployed to discover the applications services and monitor for authentication issues?
Securing APIs requires visibility into the 'runtime' behavior of the application. API trace analysis (often part of an API Security solution like Cisco Panoptica) is the technology used to automatically discover API endpoints and analyze the traffic flowing through them. This process identifies 'shadow APIs' (undocumented endpoints) that are exposed to the internet and inspects the headers and payloads for authentication risks, such as missing tokens or broken object-level authorization (BOLA).
By monitoring actual traffic traces, the security team can confirm if the API is following the intended security design or if it is leaking sensitive data due to poor authentication implementation. Cloud Security Posture Management (CSPM) (Option A) focuses on the configuration of the cloud infrastructure (like an open S3 bucket) rather than the internal logic of an API's authentication. Secret scanning (Option C) is a 'shift-left' technique used to find hardcoded passwords in source code during the build phase, not for monitoring live traffic. Cloud Workload Protection (CWPP) (Option D) focuses on protecting the underlying host or container from malware and exploits. Only API trace analysis provides the specific visibility into service discovery and application-layer authentication health required in the Cisco SDSI v1.0 objectives for modern DevSecOps environments.
Which financial reporting regulatory framework must a publicly traded company doing business in the US comply with?
The Sarbanes-Oxley Act of 2002 (SOX) is a mandatory federal law that all publicly traded companies in the United States must comply with to ensure the accuracy and reliability of their corporate financial reporting. Within the Cisco Security Infrastructure (300-745 SDSI) framework, SOX is a critical driver for designing secure architectures, particularly regarding access control, data integrity, and auditing. Sections 302 and 404 of the act are of particular importance to IT security teams, as they mandate that corporate officers certify the effectiveness of internal controls over financial reporting.
To satisfy SOX requirements, a security designer must implement robust logging and monitoring to ensure that financial data cannot be altered without authorization. Technologies such as Cisco Identity Services Engine (ISE) for role-based access control and Cisco XDR for centralized visibility are often utilized to provide the necessary audit trails. Unlike HIPAA (Option A), which focuses on protected health information, or FedRAMP (Option D), which applies to cloud service providers for the federal government, SOX is a broad financial regulatory requirement. While SOC (Option C) reports (such as SOC 2) are independent auditing standards often requested by businesses to verify service provider controls, they are not the federal law itself. Therefore, SOX remains the primary regulatory framework governing the security and integrity of financial reporting systems for public entities in the U.S.
An administrator at a large university wants to ensure that the new employees have the right level of access when they are onboarded. The administrator asked the team to configure the cloud environment and ensure that new employees have the appropriate access based on their roles and responsibilities. Which technique must be recommended to ensure the right level of access?
In a modern cloud and campus environment, managing the lifecycle of an identity is the cornerstone of a secure architecture. Identity and Access Management (IAM) is the comprehensive framework of policies and technologies that ensures the right individuals have the appropriate access to technology resources. According to the Cisco SDSI objectives, IAM is the primary mechanism used to transition from manual, error-prone onboarding to a policy-driven approach based on roles and responsibilities.
IAM solutions allow administrators to define digital identities and associate them with specific roles (Role-Based Access Control). When a new employee is onboarded, the IAM system automatically provisions access to the necessary cloud applications and data based on their department or job function. This ensures the principle of least privilege is maintained from day one. While Security Groups (Option B) and Network Access Control Lists (ACLs) (Option D) are important technical controls for filtering traffic at the network layer, they do not manage the identity lifecycle or the complex mapping of users to application permissions. A VPN (Option C) provides a secure tunnel for remote access but does not define what a user can do once they are inside the network. IAM provides the central control plane for identity-centric security, which is essential for a large university environment with high user turnover and diverse access requirements.
========
