EXCELLENT MARKETING-CLOUD-PERSONALIZATION LATEST TEST REPORT - WIN YOUR SALESFORCE CERTIFICATE WITH TOP SCORE

Excellent Marketing-Cloud-Personalization Latest Test Report - Win Your Salesforce Certificate with Top Score

Excellent Marketing-Cloud-Personalization Latest Test Report - Win Your Salesforce Certificate with Top Score

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Tags: Marketing-Cloud-Personalization Latest Test Report, Marketing-Cloud-Personalization Valid Exam Questions, Valid Marketing-Cloud-Personalization Study Plan, Free Marketing-Cloud-Personalization Exam, Marketing-Cloud-Personalization Passing Score

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Salesforce Marketing-Cloud-Personalization: Marketing Cloud Personalization Accredited Professional certification exam is a multiple-choice exam that consists of 60 questions. You have 90 minutes to complete the exam, and you must score 63% or higher to pass. Marketing-Cloud-Personalization Exam Fee is $200, and you can take the exam online or in-person at a testing center.

The Salesforce Marketing-Cloud-Personalization exam covers a range of topics, including data management, segmentation, email marketing, mobile messaging, and personalization strategies. Candidates will need to demonstrate their ability to create and manage personalized journeys, use predictive analytics to drive engagement, and measure campaign performance. Marketing Cloud Personalization Accredited Professional Exam certification is ideal for marketing professionals, digital marketers, and anyone who wants to enhance their skills in creating personalized customer experiences through the Salesforce Marketing Cloud.

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Marketing-Cloud-Personalization Valid Exam Questions | Valid Marketing-Cloud-Personalization Study Plan

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
How many times can a visitor accomplish a goal in interaction studio?

  • A. It varies depending on the setup of the goal segment
  • B. Only once for all time
  • C. Each time a visitor leaves and rejoins the goal segment
  • D. No more than twice or the goal completion will no longer be counted

Answer: A

Explanation:
In Salesforce Marketing Cloud Interaction Studio, the number of times a visitor can accomplish a goal depends on how the goal segment is configured. You have the flexibility to define the goal's behavior to suit your specific needs.
Here are the key factors that determine how many times a goal can be achieved:
* Goal Segment Configuration:
* Single-Visit Goal:The goal can be achieved only once per visitor session.
* Multi-Visit Goal:The goal can be achieved multiple times per visitor session, as long as the specific conditions are met each time.
* Time-Based Goal:The goal can be achieved multiple times within a specified time frame, regardless of the number of sessions.
* Goal Criteria:
* The specific criteria defined for the goal will also influence how many times it can be achieved.
For example, if the goal is to click a specific button, it can be achieved multiple times if the button is clicked repeatedly.
By carefully configuring your goal segments, you can accurately track visitor behavior and measure the effectiveness of your Interaction Studio experiences.


NEW QUESTION # 59
Which role would the admin assign a user if they need to view everything in interaction studio and create, update, publish and delete campaigns and recipes?

  • A. Editor
  • B. Campaign editor
  • C. Viewer
  • D. Campaign author

Answer: B


NEW QUESTION # 60
What are the three types of ingredients available for a recipe?

  • A. Co-Occurrence
  • B. Catalog-based and Trending
  • C. Recommendations
  • D. Promotions
  • E. Machine Learning

Answer: A,B,C

Explanation:
Within the context of Salesforce Marketing Cloud's Interaction Studio (formerly Evergage), "recipes" are pre- built configurations for personalized recommendations. These recipes utilize different types of "ingredients" to determine which items to recommend. Let's break down the correct options:
A: Catalog-based and Trending
* Verified:This is a type of ingredient used in Interaction Studio recipes.
* Explanation:
* Catalog-based:This ingredient leverages data from your product or content catalog. It can recommend items based on various catalog attributes like:
* Category:Recommending items from the same or related categories as items the user has viewed or interacted with.
* Attributes:Recommending items that share specific attributes (e.g., color, brand, size) with items the user has shown interest in.
* Keywords:Recommending items whose descriptions or metadata match keywords derived from user behavior.
* Trending:This ingredient considers the overall popularity or trending status of items within your catalog, often within a specific timeframe (e.g., "Trending in the last 7 days").
* Salesforce Marketing Cloud References:
* Interaction Studio Recipes:The Interaction Studio documentation describes the various recipe types and the ingredients they use.
B: Recommendations
* Verified:This is a broad category encompassing ingredients that generate recommendations based on various algorithms.
* Explanation:
* Recommendation Algorithms:Interaction Studio employs different algorithms to generate recommendations, including:
* Collaborative Filtering:Recommending items that similar users have liked or interacted with.
* Content-Based Filtering:Recommending items that are similar in content or attributes to items the user has shown interest in.
* User Affinity:Recommending items based on the user's overall affinity for particular categories, brands, or attributes, calculated from their historical interactions.
* Note:"Recommendations" is a more general term. Specific recommendation ingredients might have names like "User-to-Item Affinity," "Item-to-Item Similarity," or use algorithm names directly.
C: Co-Occurrence
* Verified:This is a specific type of recommendation ingredient that focuses on items frequently viewed or purchased together.
* Explanation:
* Co-occurrence Logic:This ingredient identifies items that are often viewed or purchased in the same session or within a short timeframe. It suggests that if a user is interested in item A, they are also likely to be interested in item B because other users have frequently interacted with both items together.
* Examples:
* "Customers who bought this item also bought..."
* "Frequently viewed together"


NEW QUESTION # 61
In the user interface what is the visual representation of the data about a single visitor including preference?

  • A. Unified view of customer
  • B. Single source of truth
  • C. Single view of customer
  • D. unified customer profile

Answer: D


NEW QUESTION # 62
How quickly does interaction studio synthesize and activate date to gauge and respond to an individuala's in-the-moment intent, across channels?

  • A. 30 Seconds
  • B. 30 milliseconds
  • C. 1 second
  • D. 1 minutes

Answer: B


NEW QUESTION # 63
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