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Marketing-Cloud-Personalization높은통과율시험덤프공부 - Marketing-Cloud-Personalization최고품질인증시험덤프데모

IT자격증을 많이 취득하여 IT업계에서 자신만의 단단한 자리를 보장하는것이 여러분들의 로망이 아닐가 싶습니다. ExamPassdump의 완벽한 Salesforce인증 Marketing-Cloud-Personalization덤프는 IT전문가들이 자신만의 노하우와 경험으로 실제Salesforce인증 Marketing-Cloud-Personalization시험문제에 대비하여 연구제작한 완벽한 작품으로서 100%시험통과율을 보장합니다.

세일즈포스 마케팅-클라우드-퍼스널라이제이션 자격증은 고객 경험을 개인화하는 전문성을 증명하려는 마케팅 전문가들에게 귀중한 자격증입니다. 이 자격증은 전문가들의 경력을 발전시키고 수익 가능성을 높일 수 있습니다. 또한, 이 자격증을 보유한 세일즈포스 마케팅-클라우드-퍼스널라이제이션 전문가를 고용하는 기업은 우수한 마케팅 경험을 제공할 수 있는 자격 있는 전문가들의 팀을 보유하고 있다는 것을 고객과 이해관계자들에게 증명할 수 있습니다.

마케팅 클라우드 개인화 공인 전문 인증 시험은 Salesforce Marketing Cloud에 대한 전문 지식을 보여 주려는 전문가를위한 훌륭한 인증입니다. 이 시험을 통과함으로써 응시자는 고용주와 고객에게 비즈니스 결과를 유도하는 개인화 된 데이터 중심의 마케팅 캠페인을 만드는 데 필요한 기술과 지식이 있음을 보여줄 수 있습니다.

>> Marketing-Cloud-Personalization높은 통과율 시험덤프공부 <<

Marketing-Cloud-Personalization높은 통과율 시험덤프공부 최신 인증시험 최신덤프자료

ExamPassdump에서 Salesforce Marketing-Cloud-Personalization 덤프를 다운받아 공부하시면 가장 적은 시간만 투자해도Salesforce Marketing-Cloud-Personalization시험패스하실수 있습니다. ExamPassdump에서Salesforce Marketing-Cloud-Personalization시험덤프를 구입하시면 퍼펙트한 구매후 서비스를 제공해드립니다. Salesforce Marketing-Cloud-Personalization덤프가 업데이트되면 업데이트된 최신버전을 무료로 제공해드립니다. 시험에서 불합격성적표를 받으시면 덤프구매시 지불한 덤프비용은 환불해드립니다.

Salesforce Marketing-Cloud-Personalization (마케팅 클라우드 개인화 공인 전문가) 시험은 Salesforce Marketing Cloud를 사용하여 마케팅 개인화 분야에서 후보자의 지식과 숙련도를 테스트하도록 설계되었습니다. 고객은 모든 터치 포인트에서 개인화 된 경험을 기대하기 때문에 오늘날의 비즈니스 환경에서 마케팅 개인화가 점점 더 중요 해지고 있습니다. Salesforce Marketing Cloud는 마케팅 담당자가 개인화 된 캠페인 및 고객 여행을 만들 수있는 다양한 도구 및 기능을 제공합니다.

최신 Accredited Professional Marketing-Cloud-Personalization 무료샘플문제 (Q91-Q96):

질문 # 91
What interaction studio component contains experiences and messages you design to personalize the interaction a visitor has with your channels?

A. Campaigns
B. Audiences
C. Templates
D. Recipes

정답：A

설명：
In Interaction Studio,Campaignsare the components that:
* Contain theexperiencesandmessagesdesigned to personalize interactions.
* Campaigns define how content is delivered, where it appears, and to whom it is targeted based on personalization rules.
References:
* Salesforce Interaction Studio Documentation - Campaigns

질문 # 92
A customer receives emails from her favorite brand that are not personalized to her interest. What Marketing Cloud Personalization feature will help improve this customer's experience?

A. A/B testing
B. Open time email
C. Rule-based targeting
D. Surveys

정답：B

설명：
Rule-based targeting in Marketing Cloud Personalization allows marketers to define specific criteria or rules that determine which content or experiences are delivered to individual customers. This enables a higher level of personalization compared to sending generic email blasts.
Here's how rule-based targeting can improve the customer's experience:
* Personalized content:By setting rules based on customer attributes, behavior, or preferences, marketers can ensure that emails contain relevant content that aligns with the customer's interests. This could include product recommendations, targeted promotions, or content related to their past interactions.
* Segmentation:Rule-based targeting allows for the creation of dynamic segments based on various criteria. This ensures that customers receive emails tailored to their specific needs and preferences, rather than generic messages intended for a broad audience.
* Improved engagement:When emails are personalized and relevant, customers are more likely to engage with them, leading to higher open rates, click-through rates, and conversions. This fosters a stronger customer relationship and increases the effectiveness of email marketing campaigns.
Why not the other options:
* B. Open time email:Open time email optimizes email send times based on when a customer is most likely to open them. While this can improve deliverability, it doesn't directly address the issue of personalization.
* C. Surveys:Surveys can collect valuable customer feedback but don't directly personalize email content.
* D. A/B testing:A/B testing compares different versions of an email to see which performs better. While useful for optimization, it doesn't inherently guarantee personalized content.
Salesforce Marketing Cloud References:
* Create and Manage Rules:This documentation explains how to create and manage rules in Marketing Cloud Personalization, which form the basis of rule-based targeting. Link to document [invalid URL removed]
* Targeted Emails:This resource provides information on how to create targeted email campaigns using rule-based personalization. Link to document [invalid URL removed] By implementing rule-based targeting, marketers can ensure that emails are personalized to each customer's interests, leading to a more engaging and satisfying experience.

질문 # 93
What are the three types of ingredients available for a recipe?

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

정답：A,B,C

설명：
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"

질문 # 94
How does Guardian determine the expected range for a given metric?

A. Guardian uses continuous machine learning to set predict the expected range
B. Guardian queries the Data warehouse to establish logical the expected ranges
C. Guardian uses upper and lower bounds set by the user for each metric.
D. Guardian comes with pre-built ranges for each metric, which cannot be configured

정답：B

질문 # 95
If a developer needs to test a website where a beacon from a different dataset has been deployed, which feature of the Evergage Launcher needs to be enabled to simulate?

A. Campaign Debugger
B. Inject SDK
C. Force SDK URL
D. Developer tools

정답：C

설명：
When testing a website where a beacon from a different dataset is deployed, theForce SDK URLfeature in theEvergage Launcheris used.
* This allows developers to load and simulate a different dataset by specifying the SDK URL, enabling them to troubleshoot and test scenarios accurately.
References:
* Salesforce Interaction Studio Developer Documentation - Evergage Launcher

질문 # 96
......

Marketing-Cloud-Personalization최고품질 인증시험덤프데모: https://www.exampassdump.com/Marketing-Cloud-Personalization_valid-braindumps.html

Rob Bell Rob Bell

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