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Salesforce Plat-Admn-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Platform Administrator
Exam Number:ADM-201
Exam Duration:105 minutes
Real Exam Qty:60
Exam Format:Multiple Choice, Multi-Select
Exam Price:$200 USD
Available Languages:Mandarin Chinese, English, Japanese
Related Certifications:Salesforce Certified Sharing and Visibility Designer
Salesforce Certified Advanced Administrator
Salesforce Certified Application Architect
Passing Score:65%
Certificate Validity Period:2 years
Sample Questions:Salesforce Plat-Admn-201 Sample Questions
Exam Way:Online proctored exam at authorized testing centers or through online proctoring
Pre Condition:No formal prerequisites required; recommended to have 6 months to 1 year of hands-on Salesforce administration experience; completing the Salesforce Administrator Trailhead modules is highly recommended
Official Syllabus URL:https://trailhead.salesforce.com/credentials/administrator

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Salesforce Plat-Admn-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Sales and Marketing Applications: This domain addresses sales cycle management from leads to opportunities, including productivity features, lead automation, campaign management, forecasting, and Einstein for Sales capabilities.
Topic 2
  • Agentforce AI: This domain introduces AI-powered agents in Salesforce, covering use cases, configuration in Agent Builder, security considerations, and troubleshooting agent permissions.
Topic 3
  • Object Manager and Lightning App Builder: This domain focuses on Salesforce data architecture, including object relationships, field customization, page layout management, and understanding the implications of field deletions on dependent features.
Topic 4
  • Service and Support Applications: This domain covers case management systems, including case assignment, queues, and automation through escalation rules, auto-response rules, and Einstein for Service.
Topic 5
  • Configuration and Setup: This domain covers foundational administrative tasks including company settings, user interface configuration, user management with licenses and access controls, and implementing security measures through login restrictions and the Salesforce sharing model.

Salesforce Certified Platform Administrator Sample Questions (Q70-Q75):

NEW QUESTION # 70
How should a Platform Administrator provide users with individualized views of data on a dashboard?

Answer: A

Explanation:
A Dynamic Dashboard is a specific type of dashboard where the data displayed changes based on which user is currently viewing it. By setting the "View Dashboard As" property to "The logged-in user," the dashboard components will respect each individual user's sharing settings, role hierarchy, and record ownership. For example, if a sales rep views a dynamic dashboard, they might only see their own $100k pipeline, while their manager viewing the same dashboard would see the team's combined $1M pipeline. This eliminates the need for an administrator to create and maintain dozens of identical dashboards for different individuals. Dashboard Filters (Option A) allow users to narrow down data but do not change the fundamental "running user" security context. Setting the dashboard to run as "Me" (the admin) or "Another person" (Options C and D) creates a static view where everyone sees the same data, which is the opposite of providing an individualized view.


NEW QUESTION # 71
The administrator at Universal Containers is creating a flow with several steps. How can the administrator check their work as they are developing the flow?

Answer: D


NEW QUESTION # 72
Which feature gives a sales team the ability to prioritize deals with recent updates in the List view and Kanban view?

Answer: A

Explanation:
Deal Change Highlights is a feature in Lightning Experience that helps sales teams quickly identify recent changes to opportunities. In list views and the Kanban view, changes to the
"Amount" or "Close Date" fields are highlighted with green (for positive changes) or red (for negative changes) arrows and text for seven days. This allows reps and managers to visually prioritize deals that have recently shifted in value or timing without having to open each record.
Big Deal Alerts (Option A) send emails for high-value deals. Report Filters (Option B) are for general data analysis. The Opportunity Path (Option D) helps guide users through stages but does not highlight recent field- level data changes in a list format.


NEW QUESTION # 73
Cloud Kicks wants Agentforce to adapt its behavior based on real-time customer input. Which feature directly enables this capability?

Answer: A

Explanation:
Agentforce is built to be dynamic, meaning it doesn't just follow a static script but rather "reasons" through a problem using an agentic loop. The feature that directly allows an agent to adapt its behavior and take specific, real-time steps based on customer input is Custom Actions. When a customer provides information--such as a specific order number or a request to change an address--the agent identifies the user's intent and selects the most relevant action to execute.
These actions can be powered by Flows, Apex, or Prompt Templates, giving the agent the ability to interact with Salesforce data in real-time. While Data Cloud (Option A) provides the data foundation for grounding, it is the actions themselves that define the agent's behavioral capabilities. Screen flows (Option C) provide a guided UI for humans, but custom actions are what allow the agent to function autonomously. Tableau (Option D) is an analytics tool and does not drive real-time agent behavior.


NEW QUESTION # 74
Sales reps at Ursa Major Solar are having difficulty managing deals. The leadership team has asked a Platform Administrator to help sales reps prioritize and close more deals. What should the administrator configure to help with these issues?

Answer: D

Explanation:
To help sales reps prioritize their pipeline and identify which deals are most likely to close, Einstein Opportunity Scoring is the most effective tool. Part of Salesforce's AI suite, Opportunity Scoring uses machine learning to analyze past won and lost opportunities to assign a score from 1 to 99 to every open deal. The score is accompanied by "Key Factors"-both positive and negative-that explain why the score was given (e.g., "The deal has progressed quickly through stages" or "The close date has been pushed three times"). This allows reps to focus their time on high-scoring deals or take corrective action on deals with low scores. Einstein Lead Scoring (Option B) helps with the intake of new prospects but not with existing deals. Einstein Activity Capture (Option D) automates the logging of emails and events but does not provide prioritization logic. Einstein Search (Option A) improves search results but does not assist in deal management strategy.


NEW QUESTION # 75
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