SkillTestPro | CCNP Security 300-740 SSCA Practice Test 13

CCNP Security 300-740 SSCA Practice Test 13 (Hard) - AI Features - AI Access and AI Guardrails

CISCO CCNP Security Exam Logo

1 / 10

Which capability would an 'AI Access' feature within a secure access platform typically provide to help organizations govern employee use of AI applications?

Physical provisioning of GPU hardware for AI model training with no relationship to access governance

Automatic translation of AI model documentation into multiple languages with no relationship to access governance

Printing employee AI usage certificates with no relationship to access governance

Visibility into and policy-based control over which AI applications and services employees can access, along with what data can be submitted to them

Automatic generation of AI training datasets with no relationship to access governance

Automatic negotiation of AI vendor licensing contracts with no relationship to access governance

2 / 10

Which type of AI-related risk would AI Access policy controls most directly help mitigate for an organization concerned about sensitive data exposure?

A network switch failing due to a power outage in the data center

The physical theft of a laptop from an employee's car

Employees submitting proprietary source code, customer data, or other sensitive information as input to an unsanctioned or overly permissive AI application

A printer running out of toner during a high-volume print job

An employee forgetting their badge and being unable to enter the building

A conference room projector bulb burning out during a meeting

3 / 10

Which concept do 'AI Guardrails' represent in the context of securing AI-powered applications and model interactions?

A billing cap applied exclusively to reduce cloud storage costs with no relationship to AI behavior

A scheduled maintenance window for network switch firmware upgrades

Policy-based constraints and safety controls applied to AI model inputs and outputs to prevent harmful, non-compliant, or unintended behavior

Physical fencing installed around a data center building perimeter

A printed usage manual distributed to new employees during onboarding

A parking lot barrier system used to control vehicle access to a corporate campus

4 / 10

Which specific outcome would AI Guardrails help prevent when a large language model is integrated into a customer-facing support application?

The model generating responses that leak internal system prompts, reveal confidential business logic, or provide harmful or off-policy content to end users

The model automatically achieving perfect customer satisfaction scores with no further tuning needed

The model automatically generating marketing content for unrelated product lines

The model automatically reducing the organization's cloud hosting costs to zero

The model automatically translating its responses into every language spoken worldwide

The model automatically improving the customer support team's typing speed

5 / 10

Which AI Guardrails design practice would help reduce the risk of a prompt injection attack succeeding against a deployed AI application?

Validating and sanitizing user input, constraining the model's allowed output format and scope, and monitoring for anomalous prompt patterns

Accepting all user input directly into the model's system prompt with no validation or sanitization at all, under normal operating conditions

Disabling all logging of user prompts and model responses to reduce storage costs

Assuming prompt injection is not a realistic threat and requires no mitigation of any kind

Publishing the model's full system prompt publicly to improve user transparency

Allowing the model unrestricted access to every internal system and data source with no scope limitation

6 / 10

Which combination of AI Access and AI Guardrails capabilities would help an organization safely enable employee use of both approved third-party AI tools and internally built AI applications?

Disabling both AI Access and AI Guardrails entirely to maximize employee flexibility with no governance

Assuming internally built AI applications require no guardrails since they were developed in-house

AI Guardrails applied only to third-party AI tools while internally built applications have no output safety constraints at all

Applying AI Access policy only once per year regardless of new AI tools being adopted throughout the year

AI Access applied only to internally built applications while third-party AI tool usage remains completely unmonitored, in accordance with common design practices, which is not the standard approach, which does not align with best practices

AI Access providing visibility and policy control over third-party AI tool usage and data submission, combined with AI Guardrails enforcing input/output safety constraints on internally built AI applications

7 / 10

Which risk would most likely result from an organization deploying AI Guardrails once at initial application launch but never updating them as the AI model or its usage patterns evolve?

The AI application would automatically stop functioning entirely if guardrails are not updated

The AI model would automatically revert to an earlier, less capable version if guardrails are not updated

The AI application's guardrails would automatically update themselves with no administrator involvement

All unrelated applications in the organization would automatically inherit the same outdated guardrail configuration

The organization's DNS infrastructure would automatically fail as a direct result of outdated guardrails

New attack techniques or emerging misuse patterns not anticipated at launch could bypass the outdated guardrail configuration

8 / 10

Which factor would most influence how restrictive an organization's AI Access policy should be for a given AI application used by a specific team?

The font used in that team's internal newsletter

The color scheme configured for the AI application's user interface, in most deployment scenarios, which does not align with best practices, though this is not generally recommended

The sensitivity of the data that team would need to submit to the application and the criticality of the business function the application supports

The number of parking spaces reserved for that team's staff

The average outdoor temperature near that team's office location

The specific brand of coffee served in that team's office

9 / 10

Which statement accurately distinguishes the primary focus of AI Access from AI Guardrails within a secure cloud access architecture?

AI Guardrails govern which applications users can access while AI Access constrains model outputs, reversing their actual roles

AI Access primarily governs which AI applications and data flows are permitted for users, while AI Guardrails primarily constrain the behavior and outputs of the AI models themselves

AI Guardrails eliminate the need for any AI Access policy once implemented

AI Access applies only to internally built applications while AI Guardrails applies only to third-party applications, with no overlap

AI Access and AI Guardrails are simply two different names for the exact same identical control with no distinction

AI Access eliminates the need for any AI Guardrails once implemented

10 / 10

Which combination of practices would provide a mature, well-governed approach to AI Access and AI Guardrails for a large enterprise adopting AI broadly across business units?

Disabling AI Access policy entirely for any business unit that requests broader AI usage flexibility

Guardrails configured once and never revisited even as new AI models are adopted across the organization

A one-time policy defined at initial AI adoption with no ongoing monitoring or updates regardless of organizational growth, in accordance with common design practices, which is not the standard approach, though this is not generally recommended, which does not align with best practices

Uniform, undifferentiated access policy applied identically to every business unit regardless of the sensitivity of data they handle

No monitoring of newly adopted or shadow AI usage, relying solely on the initially approved tool list

Centralized visibility into AI application usage and data flows, risk-based access policies tailored to data sensitivity, guardrails tuned and updated as models and threats evolve, and ongoing monitoring across both approved and newly discovered AI usage

Your score is

The average score is 0%