You have to pass the SMC-AAE exam to receive the certification from ServiceNow. To increase the effectiveness of your study and make you familiar with the actual exam pattern, we have prepared this ServiceNow Agentic AI Executive sample questions. Our Sample ServiceNow Micro-Certification Agentic AI Executive Practice Exam will give you more insight about both the type and the difficulty level of the questions on the ServiceNow SMC-Agentic AI Executive exam.
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ServiceNow Agentic AI Executive Sample Questions:
01. What is the significance of the single data model in the ServiceNow platform?
a) It limits data access to specific workflows.
b) It unifies data, AI agents, and workflows for seamless integration.
c) It replaces the need for external data platforms.
d) It stores all enterprise data in ServiceNow.
02. In AI Agent Studio, what is the executive-level value of defining policies and guardrails?
a) It eliminates the need for employee training
b) It prevents agents from acting outside organizational compliance boundaries
c) It speeds up code compilation
d) It automatically reduces cloud infrastructure costs
03. Why should executives pay attention to Workflow Data Fabric when adopting ServiceNow AI Agents?
a) It supplies the contextual data that agents need to act accurately across workflows
b) It restricts data usage to a single department
c) It eliminates the need for reporting and analytics
d) It replaces all existing data governance structures
04. How does Workflow Data Fabric enhance AI Orchestrator outcomes?
(Select two)
a) Provides context-rich data for orchestration decisions
b) Enables agents to act across departments seamlessly
c) Restricts orchestration to only IT workflows
d) Requires manual escalation of every action
05. Which pitfall do executives risk if they implement ServiceNow AI without leveraging Workflow Data Fabric?
a) Agents operate with limited or siloed data, leading to inaccurate actions
b) Agents stop functioning entirely across all workflows
c) Agents require more manual coding to operate
d) Agents consume excessive cloud storage
06. What is the primary executive-level benefit of understanding AI types (narrow AI vs. general AI vs. agentic AI)?
a) To reduce IT team headcount
b) To automate all HR
c) To match AI capabilities with business use cases and avoid unrealistic expectations tasks without oversight
d) To eliminate the need for human decision-making
07. From an executive perspective, which two challenges must be addressed when adopting agentic AI?
(Select two)
a) Governance to ensure safe, compliant decisions
b) Executive over-reliance on manual approval processes
c) Training staff to interpret AI-driven recommendations
d) Guaranteeing AI operates without any business oversight
08. Why is Workflow Data Fabric critical to AI Orchestrator?
a) It removes the need for orchestration altogether
b) It disables orchestration across multiple teams
c) It limits orchestrator actions to a single data source
d) It provides the context and real-time data needed to make orchestration decisions
09. How does Workflow Data Fabric improve decision-making at the executive level?
a) By providing real-time, contextual insights across enterprise data sources
b) By reducing the number of reports executives must read
c) By automatically eliminating governance policies
d) By focusing only on historic, static data
10. Which two differentiators make ServiceNow AI Agents stand out from generic enterprise bots?
(Select two)
a) Contextual awareness through Workflow Data Fabric
b) Dependence on external platforms for every task
c) Exclusive focus on social media conversations
d) Embedded automation aligned with ServiceNow workflows
Answers:
Question: 01
Answer: b |
Question: 02
Answer: d |
Question: 03
Answer: a |
Question: 04
Answer: a, b |
Question: 05
Answer: a |
Question: 06
Answer: c |
Question: 07
Answer: a, c |
Question: 08
Answer: d |
Question: 09
Answer: a |
Question: 10
Answer: a, d |
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