Blog - AEC LMS

Lee Price Lee Price

0 Course Enrolled • 0 Course Completed

Biography

Valid Agentforce-Specialist Test Registration & Agentforce-Specialist Valid Practice Questions

They are using outdated materials resulting in failure and loss of money and time. So to solve all these problems, Getcertkey offers actual Agentforce-Specialist Questions to help candidates overcome all the obstacles and difficulties they face during Agentforce-Specialist examination preparation. With vast experience in this field, Getcertkey always comes forward to provide its valued customers with authentic, actual, and genuine Agentforce-Specialist exam dumps at an affordable cost.

Our Agentforce-Specialist test questions provide free trial services for all customers so that you can better understand our products. You can experience the effects of outside products in advance by downloading clue versions of our Agentforce-Specialist exam torrent. In addition, it has simple procedure to buy our learning materials. After your payment is successful, you will receive an e-mail from our company within 10 minutes. After you click on the link and log in, you can start learning using our Agentforce-Specialist test material. You can download our Agentforce-Specialist test questions at any time.

>> Valid Agentforce-Specialist Test Registration <<

Agentforce-Specialist Valid Practice Questions | Agentforce-Specialist Braindump Free

The browser-based version has all features of the desktop Agentforce-Specialist practice exam. You don't need special plugins or software installations to operate the web-based Salesforce Certified Agentforce Specialist (Agentforce-Specialist) practice exam. This Salesforce Certified Agentforce Specialist (Agentforce-Specialist) practice test is compatible with every browser such as MS Edge, Chrome, Internet Explorer, Firefox, Opera, and Safari. Getcertkey's web-based Agentforce-Specialist practice exam promotes self-assessment and self-study.

Salesforce Certified Agentforce Specialist Sample Questions (Q146-Q151):

NEW QUESTION # 146
Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. TheAgentforce Specialistis tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production.
Which other configuration steps should theAgentforce Specialisttake in the sandbox that can be deployed to the production org?

A. From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout.
B. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut.
C. create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.

Answer: B

Explanation:
* Context of the Question
* Universal Containers (UC) has a strict change management process that requires all possible configuration be completed in a sandbox and deployed to Production.
* Einstein Generative AI is already enabled in Production, and the "Einstein Work Summaries" permission set is already available in Production.
* TheAgentforce Specialistneeds to configureWork Summaries for Enhanced Messagingin the sandbox.
* What Can Actually Be Deployed from Sandbox to Production?
* Custom Fields: Metadata that is easily created in sandbox and then deployed.
* Quick Actions: Also metadata-based and can be deployed from sandbox to production.
* Layout Components: Page layout changes (such as adding the Wrap Up component) can be added to a change set or deployment package.
* Why Option C is Correct
* No Need to Turn on Einstein in Sandbox for Deployment: Einstein Generative AI is already enabled in Production; turning it on in the sandbox is typically a manual step if you want to test, but that step itself is not "deployable" in the sense of metadata.
* Permission Set Assignments(as in Option A) are not deployable metadata. You can deploy the Permission Set itself but not the specific user assignments. Since the question specifically asks
"Which other configuration steps should be takenin the sandboxthatcanbe deployed to the production org?", user assignment is not one of them.
* Why Not Option A or B?
* Option A: Mentions creating permission set assignments for agents. This cannot be directly deployed from sandbox to Production, as permission set assignments are user-specific and considered "data," not metadata.
* Option B: Mentions "Turn on Einstein." But Einstein Generative AI is already enabled in Production. Additionally, "Turning on Einstein" is typically an org-level setting, not a deployable metadata item.
* ConclusionThe main deployable items you can reliably create and test in a sandbox, and then migrate to Production, are:
* Custom Fields(Issue, Resolution, Summary).
* A Quick Actionthat updates those fields.
* Page Layout Changeto include the Wrap Up component.
Therefore,Option Cis correct and focuses on actions that are truly deployable as metadata from a sandbox to Production.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Trailhead:Work Summaries with Einstein GPTProvides an overview of how to configure Work Summaries, including the need for custom fields, quick actions, and UI components.
* Salesforce Documentation:Deploying Metadata Between OrgsExplains what can and cannot be deployed via change sets (e.g., custom fields, page layouts, quick actions vs. user permission set assignments).
* SalesforceAgentforce SpecialistStudy GuideOutlines which Einstein Generative AI and Work Summaries configurations are deployable as metadata.

NEW QUESTION # 147
What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

A. Determine a user's topic access and sort actions by priority to be executed.
B. Find similar requested topics and provide the actions that need to be executed.
C. Identify the best matching topic and actions and correct order of execution.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Agentforce, the large language model (LLM), powered by the Atlas Reasoning Engine, interprets user requests and drives Agent Actions. Let's evaluate its role.
* Option A: Find similar requested topics and provide the actions that need to be executed.While the LLM can identify similar topics, its role extends beyond merely finding them-it matches intents to specific topics and determines execution. This option understates the LLM's responsibility for ordering actions, making it incomplete and incorrect.
* Option B: Identify the best matching topic and actions and correct order of execution.The LLM analyzes user input to understand intent, matches it to the best-fitting topic (configured in Agent Builder), and selects associated actions. It also determines the correct sequence of execution based on the agent's plan (e.g., retrieve data before updating a record). This end-to-end process-from intent recognition to action orchestration-is the LLM's core role in Agentforce, making this the correct answer.
* Option C: Determine a user's topic access and sort actions by priority to be executed.Topic access is governed by Salesforce permissions (e.g., user profiles), not the LLM. While the LLM prioritizes actions within its plan, its primary role is intent matching and executionordering, not access control, making this incorrect.
Why Option B is Correct:The LLM's role in identifying topics, selecting actions, and ordering execution is central to Agentforce's autonomous functionality, as detailed in Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Atlas Reasoning Engine- Outlines LLM's intent and action handling.
* Trailhead: Understand Agentforce Technology- Explains topic matching and execution.
* Salesforce Help: Agentforce Actions- Confirms LLM's role in orchestrating responses.

NEW QUESTION # 148
An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order.
Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?

A. Specify the dependent actions with the reference to the action API name.
B. Specify the LLM model provider and version to be used to invoke the action.
C. Specify the profiles or custom permissions allowed to invoke the action.

Answer: A

Explanation:
When a custom Agent action is not being prioritized correctly by the planner service, the root cause is often missing or improperly defined action dependencies. The planner service determines the execution order of actions based on dependencies defined in the action instructions. To resolve this, theAgentforce Specialistmust explicitly specify dependent actions using their API names in the custom action's configuration. This ensures the planner understands the sequence in which actions must be executed to meet business logic requirements.
Salesforce documentation highlights that dependencies are critical for orchestrating workflows in Einstein Bots and Agentforce. For example, if Action B requires data from Action A, Action A's API name must be listed as a dependency in Action B's instructions. The Einstein Bot Developer Guide states that failing to define dependencies can lead to race conditions or incorrect execution order.
In contrast:
* Profiles or custom permissions (B) control access to the action but do not influence execution order.
* LLM model provider and version (C) determine the AI model used for processing but are unrelated to the planner's sequencing logic.

NEW QUESTION # 149
A Universal Containers administrator is setting up Einstein Data Libraries. After creating a new library, the administrator notices that only the file upload option is available; there is no option to configure the library using a Salesforce Knowledge base.
What is the most likely cause of this Issue?

A. The administrator is not using Lightning Experience, which is required to display all data source options, Including the Knowledge base option, when configuring Einstein Data Libraries.
B. Salesforce Knowledge is not enabled in the organization; without Salesforce Knowledge enabled, the Knowledge-based data source option will not be available in Einstein Data Libraries.
C. The current Salesforce org lacks the necessary Einstein for Service permissions that support the Knowledge-based Data Library option, so only the file upload option is presented.

Answer: B

Explanation:
Why is "Salesforce Knowledge is not enabled" the correct answer?
If an administrator only sees the file upload option in Einstein Data Libraries and cannot configure a Salesforce Knowledge base, the most likely reason is that Salesforce Knowledge is not enabled in the organization.
Key Considerations for Einstein Data Libraries:
* Salesforce Knowledge Integration is Optional
* Einstein Data Libraries can pull knowledge data only if Salesforce Knowledge is enabled.
* If Knowledge is not activated, the system will default to file uploads as the only available option.
* How to Fix This Issue?
* The administrator should enable Salesforce Knowledge in Setup # Knowledge Settings.
* Once enabled, the option to configure Knowledge-based Data Libraries will become available.
Why Not the Other Options?
# A. The current Salesforce org lacks the necessary Einstein for Service permissions
* Incorrect because even without certain permissions, the Knowledge option would still be visible but greyed out.
# C. The administrator is not using Lightning Experience
* Incorrect because Einstein Data Libraries are accessible in both Classic and Lightning, and Lightning does not control Knowledge base visibility.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that Salesforce Knowledge must be enabled for Data Libraries to use Knowledge as a data source.
* Salesforce Certification Guide explicitly states that file uploads are the default option if Knowledge is not available.

NEW QUESTION # 150
What is automatically created when a custom search index is created in Data Cloud?

A. A predefined Apex retriever class that can be edited by a developer to meet specific needs.
B. A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.
C. A retriever that shares the name of the custom search index.

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Data Cloud, a custom search index is created to enable efficient retrieval of data (e.g., documents, records) for AI-driven processes, such as grounding Agentforce responses. Let's evaluate the options based on Data Cloud's functionality.
* Option A: A retriever that shares the name of the custom search index.When a custom search index is created in Data Cloud, a correspondingretrieveris automatically generated with the same name as the index. This retriever leverages the index to perform contextual searches (e.g., vector-based lookups) and fetch relevant data for AI applications, such as Agentforce prompt templates. The retriever is tied to the indexed data and is ready to use without additional configuration, aligning with Data Cloud's streamlined approach to AI integration. This is explicitly documented in Salesforce resources and is the correct answer.
* Option B: A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.While dynamic behavior sounds appealing, there's no concept of a "dynamic retriever" in Data Cloud that adjusts parameters at runtime without configuration. Retrievers are tied to specific indexes and operate based on predefined settings established during index creation. This option is not supported by official documentation and is incorrect.
* Option C: A predefined Apex retriever class that can be edited by a developer to meet specific needs.Data Cloud does not generate Apex classes for retrievers. Retrievers are managed within the Data Cloud platform as part of its native AI retrieval system, not as customizable Apex code. While developers can extend functionality via Apex for other purposes, this is not an automatic outcome of creating a search index, making this option incorrect.
Why Option A is Correct:The automatic creation of a retriever named after the custom search index is a core feature of DataCloud's search and retrieval system. It ensures seamless integration with AI tools like Agentforce by providing a ready-to-use mechanism for data retrieval, as confirmed in official documentation.
References:
* Salesforce Data Cloud Documentation: Custom Search Indexes- States that a retriever is auto-created with the same name as the index.
* Trailhead: Data Cloud for Agentforce- Explains retriever creation in the context of search indexes.
* Salesforce Help: Set Up Search Indexes in Data Cloud- Confirms the retriever-index relationship.

NEW QUESTION # 151
......

Agentforce-Specialist study material has a high quality service team. First of all, the authors of study materials are experts in the field. They have been engaged in research on the development of the industry for many years, and have a keen sense of smell for changes in the examination direction. During your installation, Agentforce-Specialist exam questions hired dedicated experts to provide you with free remote online guidance. During your studies, Agentforce-Specialist Exam Torrent also provides you with free online services for 24 hours, regardless of where and when you are, as long as an email, we will solve all the problems for you. At the same time, if you fail to pass the exam after you have purchased Agentforce-Specialist training materials, you just need to submit your transcript to our customer service staff and you will receive a full refund.

Agentforce-Specialist Valid Practice Questions: https://www.getcertkey.com/Agentforce-Specialist_braindumps.html

Most candidates think about Agentforce-Specialist test for engine or Salesforce Certified Agentforce Specialist VCE test engine, they will choose APP on-line test engine in the end, Salesforce Valid Agentforce-Specialist Test Registration You can send an email for request full refund attached with your failure report or else you can replace another related exam dumps freely, Our Agentforce-Specialist valid braindumps verified by used candidates have average 99% first time pass rate .If you are busy doing your own business or job and if you don't have time to read massive and boring books, now it is a good solution for you to buy our Agentforce-Specialist exam dumps.

This is the best news for me and i needn't worry about my work any longer, Agentforce-Specialist You can present a modal dialog in any of four ways, controlled by the `modalTransitionStyle` property of the presented view controller.

Unparalleled Valid Agentforce-Specialist Test Registration - Easy and Guaranteed Agentforce-Specialist Exam Success

Most candidates think about Agentforce-Specialist test for engine or Salesforce Certified Agentforce Specialist VCE test engine, they will choose APP on-line test engine in the end,You can send an email for request full refund Agentforce-Specialist Advanced Testing Engine attached with your failure report or else you can replace another related exam dumps freely.

Our Agentforce-Specialist valid braindumps verified by used candidates have average 99% first time pass rate .If you are busy doing your own business or job and if you don't have time to read massive and boring books, now it is a good solution for you to buy our Agentforce-Specialist exam dumps.

Just have a try and you will love our Agentforce-Specialist exam questions, If you attach attention on our exam materials you will clear exams surely.

Lee Price Lee Price

Biography

Quick Links

Resources

Support