Every answer is cross-verified by 3 leading AI models to ensure maximum accuracy. Get detailed per-option explanations and in-depth question analysis.
GPT Pro
Claude Opus
Gemini Pro
Per-option explanations
In-depth question analysis
3-model consensus accuracy
Practice Questions
1
Question 1
(Select 2)
Which two capabilities does TAXII support? (Choose two.)
Exchange is the fundamental purpose and capability of TAXII. The acronym itself stands for Trusted Automated eXchange of Indicator Information, which directly reflects its role in sharing cyber threat intelligence between organizations and tools. TAXII standardizes this exchange so that producers and consumers can interoperate without relying on proprietary mechanisms. In exam terms, 'exchange' is absolutely aligned with what TAXII is built to do.
Pull messaging is a recognized TAXII capability in which a client requests threat intelligence from a TAXII service or server. This model allows consumers to poll for new indicators, observables, or other CTI objects when needed rather than requiring unsolicited delivery. It is especially useful in controlled environments where clients initiate outbound connections through firewalls or proxies. Pull-based retrieval is one of the classic TAXII interaction patterns and is a strong exam keyword.
Binding is not typically treated as one of the core TAXII capabilities in certification-style questions. While TAXII can be implemented over specific transports such as HTTPS and may rely on protocol mappings, that is more of an implementation detail than a primary functional capability. The question asks what TAXII supports, and the expected focus is on intelligence exchange and messaging patterns. Therefore, binding is not the best answer choice here.
Correlation is not performed by TAXII itself. Correlation is an analytical function usually handled by SIEM, XDR, TIP, or other security analytics platforms that compare threat intelligence with logs, events, or telemetry. TAXII only provides a standardized way to move CTI data between systems. It does not define detection logic or event matching behavior.
Mitigating is not a TAXII protocol capability. Mitigation refers to taking defensive action, such as blocking malicious IPs, updating firewall rules, or triggering response workflows in other security tools. TAXII may deliver the intelligence that informs those actions, but it does not perform the mitigation itself. This makes mitigation an outcome of CTI usage rather than a TAXII-supported capability.
Question Analysis
Core concept: TAXII (Trusted Automated eXchange of Indicator Information) is an application-layer protocol used to exchange cyber threat intelligence between systems, typically carrying STIX-formatted data. Why correct: TAXII explicitly exists to enable the exchange of CTI and supports pull-based messaging patterns for retrieving intelligence from a server. Key features: it standardizes how threat intelligence is requested, shared, and transported between producers and consumers, often over HTTPS. Common misconceptions: candidates often confuse TAXII transport capabilities with analytical functions like correlation or operational outcomes like mitigation, and may also overemphasize implementation details such as bindings. Exam tips: remember STIX defines the intelligence content, while TAXII defines how that intelligence is exchanged and accessed, especially through request/response and collection retrieval workflows.
Want to practice all questions on the go?
Download Cloud Pass — includes practice tests, progress tracking & more.
Download Cloud Pass and start practicing all Cisco 350-701: Implementing and Operating Cisco Security Core Technologies (SCOR) exam questions.
Want to practice all questions on the go?
Get the app
Download Cloud Pass — includes practice tests, progress tracking & more.
2
Question 2
Which flaw does an attacker leverage when exploiting SQL injection vulnerabilities?
Correct. SQL injection exploits improper handling of user-supplied input in a web page/application, especially when input is concatenated into SQL statements or not safely parameterized. The attacker injects SQL syntax through fields, parameters, cookies, or headers to change query behavior. The core flaw is failure to separate code (SQL) from data (user input) via prepared statements and robust server-side validation.
Incorrect. SQL injection is not primarily a vulnerability in Linux or Windows. While the underlying OS can influence post-exploitation impact (e.g., file access, command execution via DB features), SQLi occurs at the application/database query layer. The same SQLi flaw can exist regardless of whether the server runs Linux or Windows, so OS choice is not the leveraged flaw.
Incorrect. The database is the target and executes the resulting query, but the vulnerability is typically introduced by the application that constructs SQL unsafely. Databases can have their own vulnerabilities, yet classic SQL injection is caused by the application failing to parameterize queries and validate input. Treat “database” as a common distractor because it confuses the victim component with the root cause.
Incorrect. Web page images are unrelated to SQL injection. SQLi involves injecting SQL commands through input vectors that reach query construction (forms, URL parameters, API payloads). Images might be relevant to other web issues (e.g., XSS via SVG, content spoofing, or file upload vulnerabilities), but they are not the flaw leveraged in SQL injection.
Question Analysis
Core Concept:
SQL injection (SQLi) is an application-layer injection attack where an attacker supplies crafted input that is interpreted as part of a SQL query. The vulnerability exists when an application builds SQL statements by concatenating untrusted user input (or otherwise fails to safely parameterize queries), allowing the attacker to alter query logic.
Why the Answer is Correct:
Attackers leverage flaws in user input handling—specifically insufficient input validation/sanitization and unsafe query construction. If a web page or web application accepts input (login fields, search boxes, URL parameters, cookies, headers) and inserts it into SQL statements without proper controls (e.g., parameterized queries), the attacker can inject SQL syntax (like quotes, UNION, OR 1=1, stacked queries where supported) to bypass authentication, extract data, modify records, or potentially execute administrative database actions.
Key Features / Best Practices:
The primary defenses are (1) parameterized queries (prepared statements) and safe ORM usage, (2) server-side allow-list validation for expected formats, (3) least-privilege database accounts (app account should not be DBA), (4) proper error handling (avoid verbose SQL errors), and (5) compensating controls like WAF rules/signatures and database activity monitoring. In Cisco security contexts, this maps to application security fundamentals and content security controls (e.g., WAF/IPS) but the root flaw is still in the application’s input handling.
Common Misconceptions:
Many assume SQLi is a “database flaw” because the database is impacted. In reality, the database is doing what it is told; the application is the component that incorrectly mixes code and data. Others blame the OS (Linux/Windows), but SQLi is largely OS-agnostic and depends on the application and database interaction.
Exam Tips:
When you see “SQL injection,” immediately think “untrusted input + dynamic SQL.” The correct choice usually references improper input validation, lack of parameterized queries, or failure to separate code from data. If an option says “database vulnerability” without mentioning application input handling, it’s typically a distractor.
3
Question 3
Which algorithm provides encryption and authentication for data plane communication?
AES-GCM is an AEAD construction that provides both encryption (confidentiality) and authentication/integrity via an authentication tag. It is commonly used for data plane protection in protocols like IPsec ESP and TLS AEAD cipher suites. Because it combines encryption and integrity in one algorithm suite, it is a standard answer when a question asks for both encryption and authentication.
SHA-96 is not an encryption algorithm; it refers to a truncated hash output often associated with older IPsec integrity checks (e.g., HMAC-SHA-1-96). Hashes (even when truncated) provide integrity/authentication when used as HMAC, but they do not provide confidentiality. Therefore it cannot satisfy “encryption and authentication” by itself.
AES-256 indicates AES with a 256-bit key size, which provides strong encryption. However, AES-256 alone does not provide authentication/integrity unless used in an authenticated mode (like GCM/CCM) or combined with a separate integrity mechanism (like HMAC-SHA). The question asks for both encryption and authentication, so AES-256 alone is incomplete.
SHA-384 is a cryptographic hash function (SHA-2 family) used for integrity and as a building block for HMAC and digital signatures. It does not encrypt data and therefore cannot provide confidentiality. While it can support authentication when used in HMAC, it still would not meet the requirement for both encryption and authentication for data plane communication.
Question Analysis
Core Concept:
This question tests understanding of algorithms that provide both confidentiality (encryption) and integrity/authentication for data plane traffic. In Cisco security contexts (e.g., IPsec/ESP, MACsec, TLS AEAD ciphers), “encryption and authentication” typically refers to an authenticated encryption with associated data (AEAD) mode, where a single construction provides encryption plus an integrity check (authentication tag).
Why the Answer is Correct:
AES-GCM (Advanced Encryption Standard in Galois/Counter Mode) is an AEAD algorithm. It encrypts data using AES in counter mode and simultaneously computes an authentication tag using the Galois field hash (GHASH). The receiver verifies the tag to ensure the ciphertext (and optional associated data such as headers) was not modified and that it came from a party with the correct key. This is exactly “encryption and authentication” for data plane communication.
Key Features / Best Practices:
- Provides confidentiality + integrity in one algorithm suite, reducing configuration complexity compared to “AES + separate HMAC.”
- Widely used in IPsec ESP (e.g., ESP AES-GCM), TLS (AEAD cipher suites), and other high-performance secure transport designs.
- Requires unique nonces/IVs per key; nonce reuse with GCM is catastrophic (can reveal plaintext and compromise integrity). Operationally, ensure correct replay protection/sequence handling and proper key rotation.
- Efficient in hardware and software; common in modern Cisco platforms due to performance and security properties.
Common Misconceptions:
- SHA variants (SHA-96, SHA-384) are hashing/integrity primitives, not encryption. They can support authentication when used in HMAC, but they do not provide confidentiality.
- AES-256 is an encryption algorithm/key size, but by itself it does not define an authenticated mode. Without an AEAD mode (like GCM) or a separate integrity mechanism (like HMAC-SHA), it provides no built-in authentication.
Exam Tips:
When you see “encryption and authentication” together, look for AEAD modes (AES-GCM, AES-CCM, ChaCha20-Poly1305). If the option is only a hash (SHA) it cannot encrypt. If it’s only “AES-xxx” without a mode, it’s encryption-only unless paired with an integrity/authentication method.
4
Question 4
What is the difference between deceptive phishing and spear phishing?
Incorrect. This describes a high-value target (C-level), which aligns with “whaling,” a form of spear phishing focused on executives. Deceptive phishing is generally broad and non-targeted, using generic messages sent to many recipients. The defining factor for deceptive phishing is lack of personalization and scale, not the victim’s job title.
Correct. Spear phishing is a targeted phishing attack that is crafted for a specific individual or a narrowly defined set of victims using personalized details and relevant context. Deceptive phishing is generally broader and more generic, with attackers sending the same or similar fraudulent message to many users in hopes that some will respond. While this option is not perfectly worded because spear phishing can also target a small group, it is still the best choice because it reflects the core difference of targeted versus broad phishing. On certification exams, spear phishing is typically contrasted with mass phishing by its personalization and selectivity.
Incorrect. Targeting C-level executives is typically called “whaling,” which is a subset of spear phishing. Spear phishing is broader than executive targeting; it can target any role (HR, finance, IT admins) as long as the attack is tailored and directed. Therefore, this option is too narrow and mislabels the concept.
Incorrect. Hijacking or manipulating DNS to redirect a user to a fake site is “pharming,” not deceptive phishing. Deceptive phishing relies on tricking users via fraudulent messages/links, whereas pharming can redirect users even when they enter a legitimate URL. The mechanism described is DNS-based redirection, not a phishing subtype.
Question Analysis
Core Concept:
This question tests the distinction between deceptive phishing and spear phishing. Deceptive phishing is the classic broad phishing model in which attackers send generic fraudulent messages to many recipients, hoping some will respond. Spear phishing is more targeted and personalized, using information about a specific individual or a narrowly defined group to make the message more convincing. A related but separate term is whaling, which refers to spear phishing aimed at senior executives.
Why the Answer is Correct:
Option B is the best answer because it captures the targeted nature of spear phishing compared with broader phishing campaigns. Although spear phishing is not limited strictly to one person and may also target a small, specific group, it is still far more personalized and selective than deceptive phishing. Deceptive phishing generally uses generic lures and is sent at scale, while spear phishing relies on tailoring the message to the intended victim.
Key Features:
Spear phishing often uses reconnaissance such as social media, company websites, breached data, or business context to craft believable emails. Deceptive phishing usually relies on common themes like password resets, invoices, or delivery notices and is distributed widely with little customization. Whaling is simply a specialized form of spear phishing focused on executives, and pharming is a different attack type involving DNS or redirection manipulation.
Common Misconceptions:
A frequent mistake is confusing spear phishing with whaling and assuming all targeted phishing against executives defines spear phishing as a whole. Another common error is mixing phishing with pharming, which redirects users through DNS or host manipulation rather than persuading them through a fraudulent message. The key distinction here is targeted personalization versus broad generic messaging.
Exam Tips:
For SCOR-style questions, map the terminology carefully: deceptive phishing means generic mass phishing, spear phishing means targeted and personalized phishing, whaling means executive-focused spear phishing, and pharming means DNS-based redirection. If an option mentions C-level executives specifically, think whaling. If an option mentions DNS hijacking or redirection, think pharming rather than phishing subtype.
5
Question 5
(Select 2)
Which two preventive measures are used to control cross-site scripting? (Choose two.)
Enabling client-side scripts on a per-domain basis is not a standard XSS prevention control. Browsers already enforce the same-origin policy for many interactions, but XSS executes within the trusted site’s origin, so “per-domain” script enabling does not stop injected scripts from running. XSS prevention focuses on how untrusted data is handled (encoding/sanitization), not on selectively enabling scripts.
Contextual output encoding/escaping is a primary XSS prevention technique. It ensures untrusted data is encoded appropriately for the output context (HTML, attribute, JS, URL, CSS) so it is treated as data, not executable code. This directly prevents reflected and stored XSS when user input is rendered back to the browser. It is strongly recommended by OWASP and is a common exam answer.
Disabling cookie inspection in an HTML inspection engine is counterproductive and does not prevent XSS. Inspection engines (WAF/secure web gateways) may detect suspicious patterns, but turning inspection off reduces visibility and protection. Also, cookie inspection is not the core control for XSS; XSS is about script injection in content, not about inspecting cookies.
Running untrusted HTML through an HTML sanitization engine is a strong preventive measure when the application must accept HTML/rich text. Sanitizers parse and clean input, removing scripts, event handlers, and dangerous URLs, typically using allowlists of safe tags/attributes. This prevents stored XSS in user-generated content areas where you cannot simply encode everything without breaking intended formatting.
Saying the SameSite cookie attribute should not be used is incorrect. SameSite is primarily a CSRF mitigation and can reduce cross-site cookie sending, but it is not an XSS prevention control. In practice, SameSite is recommended (along with HttpOnly and Secure) as part of cookie hardening. Avoiding SameSite would weaken security rather than control XSS.
Question Analysis
Core concept:
Cross-site scripting (XSS) occurs when an application includes untrusted data in a web page without proper validation/encoding, allowing attacker-supplied JavaScript/HTML to execute in a victim’s browser under the site’s origin. Preventing XSS is primarily an application/content security problem: ensure untrusted input cannot become executable code in the output context.
Why the answers are correct:
B (contextual output encoding/escaping) is a primary, standards-based defense. The key is “contextual”: encoding must match where the data is placed (HTML body, HTML attribute, JavaScript string, URL, CSS). Proper output encoding ensures user-controlled characters like <, >, ", ', and / are rendered as text rather than interpreted as markup/script, breaking the attacker’s ability to inject executable payloads.
D (HTML sanitization) is another preventive control, especially when the application must accept rich text/HTML (forums, CMS, comments). A sanitization engine parses input as HTML and removes/neutralizes dangerous elements/attributes (e.g., <script>, onerror=, javascript: URLs) and enforces an allowlist of safe tags. This reduces risk when encoding alone is insufficient because you intentionally allow some markup.
Key features / best practices:
- Prefer output encoding everywhere untrusted data is reflected (OWASP XSS Prevention Cheat Sheet).
- Use allowlist-based HTML sanitizers for rich text; avoid regex-based “strip script” approaches.
- Complement with Content Security Policy (CSP) to reduce impact, but CSP is not listed as an option.
- Validate input for expected format, but do not rely on validation alone; encoding/sanitization are the core.
Common misconceptions:
Options that talk about enabling scripts, disabling inspection, or avoiding SameSite are either unrelated or actively harmful. XSS is not prevented by “turning on scripts per domain” (scripts are already origin-scoped) and disabling inspection reduces detection/prevention. SameSite is a CSRF mitigation and can reduce some cross-site cookie sending, but it is not an XSS prevention mechanism; in fact, saying it “should not be used” is incorrect.
Exam tips:
For XSS, look for answers involving (1) contextual output encoding and (2) sanitization/allowlisting when HTML is accepted. Cookie flags (HttpOnly/SameSite) and CSP are helpful adjacent controls, but only encoding/sanitization directly prevent script injection/execution from untrusted content.
6
Question 6
Which Cisco command enables authentication, authorization, and accounting globally so that CoA is supported on the device?
"aaa server radius dynamic-author" configures the device to accept RADIUS Change of Authorization (CoA) / Disconnect-Request messages from a specified client (such as Cisco ISE), typically over UDP/3799. It is important for CoA operation, but it does not enable AAA globally. It assumes the AAA subsystem is already active via "aaa new-model".
"auth-type all" is not the Cisco IOS global command that enables AAA. While some platforms/features have parameters resembling “auth-type” in specific contexts, it is not the foundational switch for turning on AAA services device-wide. It would not, by itself, activate the AAA framework required for RADIUS authentication/authorization/accounting and CoA.
"aaa new-model" is the global command that enables the AAA subsystem on Cisco IOS/IOS-XE. It is the prerequisite for configuring AAA method lists and integrating with RADIUS/TACACS+. Because CoA is a RADIUS/AAA capability, enabling AAA globally is required before CoA configuration and operation can be supported correctly.
"ip device-tracking" enables device tracking (collection of IP-to-MAC-to-interface bindings) used by features like security policies, visibility, and some access control functions. It is unrelated to enabling AAA globally and does not provide authentication/authorization/accounting services. Device tracking may complement NAC designs, but it is not a prerequisite command for CoA support.
Question Analysis
Core Concept:
This question tests Cisco IOS/IOS-XE AAA fundamentals and how they relate to Change of Authorization (CoA). CoA (RFC 5176) is a RADIUS function that allows a policy server (for example, Cisco ISE) to push a mid-session change to a network device—commonly to reauthenticate a session, apply a new authorization result (dACL/SGT/VLAN), or terminate a session.
Why the Answer is Correct:
The command that enables AAA globally on Cisco IOS/IOS-XE is "aaa new-model". Without it, the device uses legacy (line-based) authentication and does not activate the AAA subsystem required for RADIUS-based authentication, authorization, and accounting. Since CoA is a RADIUS/AAA-driven capability, the platform must have AAA enabled globally before CoA-related configuration can function as intended. In other words, CoA support depends on AAA being turned on first.
Key Features / Configuration Notes:
After enabling AAA with "aaa new-model", you typically configure RADIUS servers and AAA method lists (authentication/authorization/accounting). For CoA specifically, you then configure the dynamic authorization listener (platform-dependent syntax such as "aaa server radius dynamic-author" with client IP and shared secret) so the device will accept CoA packets from the policy server. Best practice is to restrict CoA clients to known ISE nodes, use strong shared secrets, and ensure ACLs permit UDP/3799 (CoA) only from those nodes.
Common Misconceptions:
Option A is closely associated with CoA and is required to accept CoA requests, but it does not “enable AAA globally.” It configures the CoA/dynamic authorization component under the AAA framework, which presupposes AAA is already enabled. Option B is not a global AAA enablement command in IOS. Option D relates to endpoint tracking/visibility and is not the AAA global switch.
Exam Tips:
For SCOR, remember the dependency chain: enable AAA globally ("aaa new-model") → define RADIUS servers/groups → apply AAA method lists to lines/interfaces/features → add CoA/dynamic-author configuration if ISE needs mid-session changes. If a question asks for the command that enables AAA globally, it is almost always "aaa new-model".
7
Question 7
How does Cisco Advanced Phishing Protection protect users?
This option sounds like a description of security telemetry/monitoring architectures (for example, endpoint or network sensors exporting events securely to a collector). Cisco Advanced Phishing Protection is an email security capability focused on detecting phishing and impersonation attempts, not on deploying “sensors” that send messages securely. While email gateways do inspect messages, APP’s differentiator is analytics/ML, not sensor-based secure messaging.
Correct. Cisco Advanced Phishing Protection focuses on identifying phishing—especially targeted attacks like BEC—using machine learning and real-time behavioral analytics. This approach detects anomalies and suspicious patterns (impersonation indicators, unusual sender behavior, lookalike domains, and message traits) that can evade traditional signature and reputation checks. It is designed to stop low-volume, highly tailored phishing attempts that are difficult to catch otherwise.
DKIM validates that an email was cryptographically signed by a domain authorized to send on behalf of that domain, helping with authenticity and reducing spoofing. However, DKIM alone does not stop phishing effectively because attackers can use domains they control (with valid DKIM), compromised legitimate accounts, or social engineering that doesn’t require spoofing. APP is broader and relies on ML/behavioral detection rather than only DKIM validation.
This does not describe a recognized mechanism of Cisco Advanced Phishing Protection. Phishing defenses typically evaluate sender authenticity (SPF/DKIM/DMARC), reputation, content, URLs, attachments, and behavioral/ML signals. “Which identities are perceived by the sender” is not a standard email security analytic or control and does not map to APP’s documented purpose of detecting phishing via behavioral analytics and machine learning.
Question Analysis
Core Concept:
Cisco Advanced Phishing Protection (APP) is a Cisco email security capability (commonly associated with Cisco Secure Email / Email Security Appliance and Cisco Secure Email Cloud) designed to detect and stop phishing—especially targeted, socially engineered attacks such as business email compromise (BEC) and credential-harvesting emails. These attacks often bypass traditional signature-based or reputation-only controls because they can be low-volume, use newly registered domains, or leverage compromised legitimate accounts.
Why the Answer is Correct:
APP protects users primarily by applying machine learning (ML) and real-time behavioral analytics to identify suspicious sender behavior and message characteristics that indicate phishing intent. Instead of relying solely on static indicators (known bad IPs/domains, signatures), APP evaluates patterns such as anomalous sending behavior, unusual relationships between sender and recipient, lookalike domain usage, and message traits consistent with impersonation or credential theft. This aligns with option B.
Key Features / How It Works:
1. Behavioral analysis: Detects anomalies in sender behavior (e.g., sudden changes in sending patterns, unusual recipient targeting, atypical message composition).
2. ML-driven classification: Uses models trained on large datasets to recognize phishing/BEC patterns that are hard to capture with simple rules.
3. Impersonation detection: Helps identify display-name spoofing, executive impersonation, and lookalike domains.
4. Actioning and workflow: Depending on deployment, suspicious messages can be tagged, quarantined, or subjected to additional policy controls and user awareness cues.
Common Misconceptions:
- DKIM (option C) is an email authentication method that validates whether a message was authorized by the domain owner, but it does not prove the sender is “safe” and does not reliably stop BEC (which often uses real, authenticated domains or compromised accounts).
- “Sensors that send messages securely” (option A) describes unrelated security telemetry concepts, not phishing protection.
- “Determines which identities are perceived by the sender” (option D) is not a standard email security control and does not describe APP’s detection approach.
Exam Tips:
For SCOR, remember that modern email security emphasizes detection beyond reputation/signatures: ML, behavioral analytics, and impersonation/BEC-focused controls. When you see “advanced phishing” in Cisco email security contexts, think ML + behavioral/anomaly detection and impersonation analysis rather than only SPF/DKIM/DMARC validation.
8
Question 8
Which term describes when the Cisco Firepower downloads threat intelligence updates from Cisco Talos?
Authoring refers to creating or writing threat intelligence content such as custom indicators, local block lists, Snort rules, or intelligence reports. If Firepower administrators manually create Security Intelligence objects or custom rules, that is authoring. Downloading updates from Cisco Talos is not authoring because the intelligence is produced externally and merely retrieved.
Consumption is the correct term for a device ingesting threat intelligence from an external provider and applying it for detection or enforcement. When Cisco Firepower pulls Talos updates (for example, reputation data, URL categories, or intrusion rule updates), it is consuming that intelligence to keep protections current and improve security decisions.
Sharing generally means distributing threat intelligence to others (for example, publishing indicators to a community, sending IOCs to another platform, or contributing to an information-sharing ecosystem). While Talos shares intelligence and Firepower can participate in broader ecosystems, the act of downloading Talos updates is the opposite direction—ingestion—so it is not “sharing.”
Analysis is the process of examining telemetry, logs, malware samples, or network events to derive conclusions and create actionable intelligence. Cisco Talos performs extensive analysis to generate the intelligence Firepower uses. Firepower downloading updates is not analysis; it is receiving the results of analysis (consumption).
Question Analysis
Core Concept:
This question tests Cisco Firepower’s use of threat intelligence (TI) feeds from Cisco Talos and the terminology used to describe the lifecycle of threat intelligence: creating it, distributing it, and using it in enforcement. In Cisco security architectures, Talos is a primary source of curated intelligence (IP/domain reputation, malware indicators, URL categories, Snort rules, etc.) that Firepower can use to improve detection and prevention.
Why the Answer is Correct:
When Cisco Firepower downloads threat intelligence updates from Cisco Talos, it is performing “consumption.” Consumption means the security device is receiving and using externally produced intelligence (for example, Talos reputation data or updated intrusion rules) to inform policy decisions and enforcement actions. Firepower is not creating the intelligence in this step; it is ingesting it.
Key Features / How It Shows Up in Firepower:
Firepower commonly consumes Talos intelligence through:
- Security Intelligence (SI) feeds (block/allow lists for IPs, URLs, and domains) that are updated regularly.
- Intrusion policy updates (Snort rule updates) and vulnerability database updates.
- URL filtering/category updates and malware/cloud lookups depending on licensing and configuration.
Best practice is to keep these updates scheduled/automatic, ensure FMC/FTD has reliable internet or proxy access, and monitor update status so enforcement stays current.
Common Misconceptions:
“Sharing” can sound like “downloading,” but sharing typically refers to distributing intelligence outward (to peers/communities) rather than ingesting it. “Analysis” is the process of investigating events/telemetry to derive intelligence, which is what Talos largely does at scale—not what Firepower is doing when it simply pulls updates. “Authoring” refers to creating indicators/rules/feeds, which again is not the act of downloading.
Exam Tips:
For SCOR, map TI terms to actions:
- Authoring = creating indicators/rules
- Sharing = distributing/publishing intelligence
- Consumption = ingesting/using intelligence from a source (Talos)
- Analysis = deriving intelligence from data/events
If the question says “downloads updates from Talos,” think “consumes threat intelligence.”
9
Question 9
(Select 2)
What are two characteristics of Cisco DNA Center APIs? (Choose two.)
Incorrect. While Cisco DNA Center is a Cisco platform, its APIs are exposed as standard RESTful HTTP endpoints using common methods (GET/POST/PUT/DELETE) and JSON payloads. That is not a proprietary API mechanism. Exam questions typically reserve “proprietary” for nonstandard protocols or closed interfaces; DNA Center APIs are designed for broad integration with third-party tools.
Incorrect. DNA Center APIs are commonly consumed via Python scripts (for example, using the requests library) and also via automation frameworks like Ansible. Cisco even provides examples and SDK-style resources to help developers interact programmatically. Therefore, it is wrong to say the APIs do not support Python scripts.
Correct. DNA Center APIs provide Assurance capabilities that expose network-wide health and analytics, including device health, client health, application experience, and issue/incident data. This allows external systems to query the overall health of the network and build dashboards, alerts, or integrations with IT operations and security monitoring tools.
Correct. DNA Center APIs enable automation for provisioning and onboarding, such as Plug and Play (PnP) workflows, assigning devices to sites, pushing configuration templates, and triggering provisioning tasks. This supports rapid, consistent deployment of new devices and reduces manual configuration errors—one of the primary operational benefits of DNA Center.
Incorrect. Postman is a popular API testing client and is frequently used in Cisco examples and labs to demonstrate API calls, but it is not required. Any REST client (curl), scripting language (Python), or automation tool (Ansible) can be used to authenticate and invoke DNA Center API endpoints.
Question Analysis
Core Concept:
Cisco DNA Center (now Cisco Catalyst Center in newer branding) exposes RESTful APIs that allow external tools and scripts to automate network operations and retrieve operational intelligence. The question tests what DNA Center APIs are commonly used for: assurance/visibility (monitoring health) and automation/provisioning (day-0/day-1 operations).
Why the Answer is Correct:
C is correct because DNA Center APIs provide access to Assurance data, including network/device/client health, issues, and telemetry-derived insights. Many endpoints are specifically designed to “view the overall health of the network,” such as retrieving health scores, client health, device health, and issue summaries.
D is correct because DNA Center APIs are heavily used for automation and orchestration, including provisioning and onboarding devices (PnP), assigning devices to sites, pushing templates, configuring network settings, and triggering workflows. This enables quickly provisioning new devices at scale without manual CLI work.
Key Features / Best Practices:
- REST APIs with token-based authentication (typically via an auth endpoint returning a token used in subsequent calls).
- Key functional areas: Assurance (health/insights), Provisioning (PnP, templates, site assignment), Inventory, Topology, Policy/SD-Access automation.
- Automation is commonly done via Python (requests), Ansible modules/collections, or CI/CD pipelines. Postman is a convenient testing tool but not required.
- Operational best practice: treat DNA Center as the “source of truth” for intent and use APIs to integrate with ITSM (ServiceNow), SIEM/SOAR, and custom portals.
Common Misconceptions:
- “Cisco proprietary” can sound plausible, but DNA Center APIs are standard REST/HTTP with JSON; while the product is Cisco, the API style is not a proprietary protocol.
- Postman is often shown in labs and docs, leading some to think it is mandatory. It is only a client for testing.
Exam Tips:
When you see DNA Center/Catalyst Center APIs, think “intent-based automation + assurance.” If an option describes visibility/health or automated provisioning/onboarding, it is likely correct. If an option claims you must use a specific tool (Postman) or that scripting languages aren’t supported, it’s likely incorrect.
10
Question 10
Which group within Cisco writes and publishes a weekly newsletter to help cybersecurity professionals remain aware of the ongoing and most prevalent threats?
Cisco Talos is Cisco’s dedicated threat intelligence and security research organization. It collects and analyzes large-scale telemetry from Cisco products and other sources to identify malware campaigns, attacker techniques, and emerging vulnerabilities. Talos publishes public-facing threat intelligence content, including a weekly newsletter designed to keep security professionals informed about ongoing and prevalent threats. This matches the question exactly because Talos is the Cisco group most closely associated with recurring threat updates and broad cybersecurity awareness communications.
Cisco PSIRT is the Product Security Incident Response Team, and its primary role is handling security vulnerabilities that affect Cisco products. It investigates reported flaws, coordinates disclosure, and publishes Cisco Security Advisories and remediation guidance. Although PSIRT communicates important security information, its focus is product vulnerability management rather than a weekly newsletter about the broader threat landscape. For exam purposes, PSIRT should be associated with CVEs, advisories, and patch guidance, not general threat intelligence newsletters.
SCIRT refers to a security incident response function, which is centered on responding to and coordinating security incidents. Teams in this category typically focus on triage, containment, eradication, recovery, and post-incident analysis rather than publishing recurring public threat intelligence summaries. The question asks specifically about a group that writes and publishes a weekly newsletter on prevalent threats, which is not the defining role of SCIRT. This makes SCIRT a plausible-sounding but incorrect distractor.
Cisco DevNet is Cisco’s developer platform and community focused on APIs, automation, programmability, and software development resources. Its purpose is to help engineers and developers build integrations and learn Cisco platforms through code samples, sandboxes, and training materials. While DevNet may include security-related developer content, it is not a threat intelligence organization and does not publish the weekly threat-awareness newsletter described in the question. Therefore, DevNet is clearly not the correct answer here.
Question Analysis
Core Concept:
This question tests knowledge of Cisco’s threat intelligence and incident awareness organizations. In SCOR, you must distinguish between groups that (1) research and publish threat intelligence, (2) coordinate vulnerability disclosure for Cisco products, and (3) handle incident response.
Why the Answer is Correct:
Cisco Talos is Cisco’s threat intelligence and research organization. Talos produces ongoing threat research, telemetry-driven analysis, and public-facing communications that help defenders stay current on active campaigns and prevalent malware. A key example is the weekly “Talos Threat Source Newsletter,” which summarizes notable threats, vulnerabilities, and trends observed by Talos researchers. This aligns exactly with the prompt: a weekly newsletter intended to keep cybersecurity professionals aware of ongoing and prevalent threats.
Key Features / What Talos Does:
Talos operates at global scale using large volumes of security telemetry from Cisco security products and sensors. It publishes threat reports, malware analyses, vulnerability research, and indicators of compromise (IOCs). Talos intelligence is also used to power protections across Cisco security platforms (for example, detection content and reputation feeds). For exam context, associate Talos with “threat intelligence,” “research,” “IOCs,” and “public threat reporting/newsletters.”
Common Misconceptions (Why Others Seem Plausible):
PSIRT is often confused with Talos because PSIRT also publishes advisories, but PSIRT focuses on Cisco product vulnerabilities and coordinated disclosure, not general weekly threat newsletters. SCIRT sounds like it could be a threat-reporting team, but it is oriented toward incident response/coordination rather than publishing broad weekly threat intel. DevNet is Cisco’s developer community and learning platform; it is not a threat intelligence publisher.
Exam Tips:
When you see “weekly newsletter,” “threat trends,” “malware campaigns,” or “threat intelligence research,” think Talos. When you see “security advisory,” “CVE,” “Cisco product vulnerability,” or “patch guidance,” think PSIRT. When you see “incident response,” “containment,” or “handling a security event,” think incident response teams (SCIRT/CSIRT concepts).
