Plat-UX-101 Exam Dumps : Salesforce Certified Platform User Experience Designer

The study guide identifies A. Standard Person Account Object as the correct answer for representing the bank's individual customers.

The decisive detail is that the bank serves individual customers rather than corporate or business customers. The Person Account model is therefore the representation selected by the guide because it is intended for circumstances where the customer relationship centers on an individual person rather than a company.

The financial advisor must also be able to open that customer's Salesforce record and see associated potential business opportunities. The selected account model gives the solution a customer-centered record around which those sales relationships can be organized.

Option B, Lead, represents a different stage of the sales relationship. The scenario describes customers whose records advisors already need to access rather than merely prospective individuals awaiting conversion.

Option C, Opportunity, represents potential business or a sales transaction rather than the person who is the customer. Opportunities can be associated with the customer record, but they cannot substitute for it.

The underlying UX/data-model lesson is that the Salesforce entity should reflect the real-world subject users think about. For a bank serving individuals, the guide specifies the Person Account model.

Study Guide reference/topics: Person Accounts, individual customers, Sales Cloud, Salesforce data modeling, Declarative Design.

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The correct answer is C. At least 4.5:1, which the uploaded UX Designer study guide identifies as the WCAG Level AA threshold for normal text. Color contrast measures the luminance difference between foreground text and its background. Adequate contrast is essential for users with low vision, color-vision deficiencies, age-related vision changes, or users working under difficult viewing conditions.

For normal-sized text, the Level AA requirement represented in the study guide is a minimum ratio of 4.5:1. This means the text color and background color must be sufficiently different in luminance for content to remain readable.

Option A, 7.0:1, corresponds to a more stringent accessibility threshold and is not the Level AA minimum requested in this question.

Option B, 3.0:1, is insufficient for ordinary text under the criterion being tested. Lower ratios may apply in other accessibility contexts, but they do not satisfy this specific normal-text Level AA requirement.

For a UX Designer, the practical lesson is that branding cannot be evaluated independently from accessibility. A visually appealing colored background is unacceptable if it reduces text readability below the required contrast level.

Study Guide reference/topics: WCAG Level AA, color contrast, accessibility, readable text, UX Fundamentals.

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Responsible AI requires users to understand how an AI-supported experience reaches or communicates consequential outputs. Therefore, providing clear explanations of predictions and recommendations directly supports transparency and explainability. The uploaded study guide explicitly identifies A as the correct response. Salesforce's AI guidance similarly treats explainability as fundamental to useful predictive experiences. Salesforce describes predictive outputs as not merely providing an outcome but also enabling users to understand factors contributing to that outcome and take appropriate action. This supports the UX principle that AI should not behave as an opaque decision mechanism.

Option B is incorrect because responsible data practices do not advocate indiscriminate data collection. Data collection should be purposeful and proportionate to the intended experience. Collecting more data simply because it is available creates privacy, bias, and governance concerns. Option C may support organizational education, but an internal demonstration does not make the actual user-facing AI interaction transparent.

The strongest UX solution is therefore to expose understandable reasoning or contextual explanations around AI-generated predictions and recommendations.

Study Guide reference/topics: Responsible AI, transparency, explainability, trustworthy user experiences, Human-Centered Design.

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