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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Salesforce Platform UX Implementation | - Mobile UX and Responsive Design - Lightning Design System (SLDS) - Declarative UX Configuration | |
| Topic 2: Discovery | 13% | - User Needs and Requirements Gathering - Research Methods and Tools - Business Value of Salesforce UX - Salesforce UX Personas and Processes |
| Topic 3: Prototyping & Validation | - Usability Testing and Iteration - Prototyping Methods | |
| Topic 4: Design Strategy & Solutioning | - Problem Definition and Scoping - Journey Mapping and Experience Design | |
| Topic 5: UX Fundamentals | 16% | - Branding and Visual Design Impact - Accessibility and Inclusive Design - Human-Centered Design Principles - Usability and Information Architecture |
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NEW QUESTION # 103
Cloud Kicks is going to conduct surveys with users to better understand their purchasing habits. Their UX Designer wants to get the most accurate view of customers' purchasing behaviors using these research methods. Which response bias should the designer be aware of when trying to avoid positively skewed results?
Answer: A
Explanation:
The correct answer is B. Acquiescence Bias, as keyed in the uploaded study guide.
The scenario concerns survey responses that could become positively skewed. The study guide identifies acquiescence bias as the response bias the UX Designer should watch for in that situation.
Acquiescence bias refers to the tendency of respondents to agree with statements or provide affirmative responses rather than expressing their actual position with complete independence. In a survey about purchasing behavior, this can produce an artificially positive result if the questions are framed in a way that invites agreement.
Option A, Objectivity Bias, is not the response bias selected by the study guide for this scenario.
Option C, Recency Bias, concerns disproportionate influence from more recent experiences or information rather than a tendency to provide agreeable or positive responses.
The practical research lesson is that survey questions must be designed so they do not encourage respondents toward a favorable answer. Neutral wording and balanced response structures help the designer obtain a more accurate picture of user behavior.
Accordingly, the source identifies Acquiescence Bias as the primary concern when avoiding positively skewed survey results.
Study Guide reference/topics: Acquiescence Bias, surveys, response bias, research validity, Testing.
NEW QUESTION # 104
Cloud Kicks wants to use Paths for onboarding its sales representatives.
Which Path feature should be used to add onboarding value?
Answer: A
Explanation:
The Path feature that should be used to add onboarding value for the sales representatives is theKey fieldscomponent. The Key fields component allows the admin to specify up to five fields that are important or required for each stage of the Path. The sales reps can see and edit these fields directly from the Path, without scrolling through the record page. This helps to guide the reps on what information they need to gather or update at each stage, and ensures data quality and completeness. The Key fields component can also be used to enforce validation rules or required fields, by preventing the reps from moving to the next stage until they fill out the necessary fields.Reference:
:Set Up a Path
:Considerations and Guidelines for Creating Paths
:Optimize Sales Processes with Path in Salesforce
NEW QUESTION # 105
Cloud Kicks (CK) has not yet migrated to Lightning Experience but wants to leverage the Salesforce Lightning Design System (SLDS) in its Salesforce-based custom applications. What solution should CK's designers use to deliver applications with a consistent Lightning Experience look and feel?
Answer: A
Explanation:
The correct answer is C. Import Lightning stylesheets in Visualforce, according to the uploaded study guide.
The scenario is specifically about an organization that has not yet migrated to Lightning Experience but still wants custom Salesforce applications to present a Lightning-consistent visual appearance.
Within the study-guide framing, importing Lightning stylesheets into Visualforce provides the appropriate bridge between legacy Visualforce applications and the visual language associated with Lightning Experience.
Option A references an SLDS package, but the question is not asking how to build an independent front-end application using package-managed CSS resources. It asks for the Salesforce-based solution appropriate to the existing Visualforce context.
Option B, importing standard design tokens into a stylesheet, would not by itself reproduce the broader Lightning component styling required to give the application a consistent Lightning appearance.
The essential UX objective is visual consistency across platform generations. Users should encounter familiar spacing, typography, control treatments, and general presentation even when some applications remain on older Salesforce technology.
The study guide therefore points to Visualforce's ability to use Lightning styling as the appropriate way to achieve this transition-oriented design requirement.
Study Guide reference/topics: SLDS, Visualforce, Lightning Experience styling, legacy application consistency, Salesforce Lightning Design System.
NEW QUESTION # 106
Cloud Kicks (CK) is planning its Einstein Bot implementation and has identified common issues the bot canresolve. CK has determined that extensive technical planning is needed for bot effectiveness and customer satisfaction.
Which additional element(s) would be essential?
Answer: B
NEW QUESTION # 107
Which step should a UX Designer take to create and deliver responsible and transparent AI technology?
Answer: B
Explanation:
The correct answer is A. Provide clear explanations of AI predictions or recommendations. The study guide explicitly keys this response as the action associated with responsible and transparent AI.
The wording of the question places emphasis on transparency. A transparent AI experience should help the person interacting with the system understand what the AI is presenting rather than simply exposing an unexplained prediction or recommendation.
Option A directly addresses that requirement by communicating an explanation alongside the AI output. In UX terms, this gives the user more context for interpreting the system's recommendation and makes the interaction less opaque.
Option B emphasizes collecting a maximum amount of user data. Regardless of whether additional data might support personalization, that choice does not directly satisfy the transparency requirement being tested in the guide.
Option C describes an internal demonstration or education session. That could inform employees about AI, but it does not make the actual user-facing AI prediction or recommendation more understandable.
The guide therefore distinguishes between organizational activity around AI and transparency within the user experience itself. The appropriate design step is to make AI-generated outcomes understandable to the person receiving them.
Study Guide reference/topics: Responsible AI, transparency, explainability, AI recommendations, Human- Centered Design.
NEW QUESTION # 108
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