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| Section | Weight | Objectives |
|---|---|---|
| Journey Orchestration | 25% | - Reporting and performance analysis - Journey design and best practices - Activities and decision splits - Entry sources and audience evaluation - Comparison between Datorama and Google Analytics |
| Social Studio | 10% | - Social media publishing and engagement - Content management and moderation - Social analytics and reporting |
| Interaction Studio | 8% | - Real-time interaction management - Integration with other Marketing Cloud modules - Personalization and decisioning capabilities |
| Einstein for Marketing Cloud | 23% | - Einstein Engagement Frequency - Einstein Engagement Scoring - Einstein Copy Insights - Send Time Optimization - AI-powered personalization and prediction |
| Ad Studio | 12% | - Campaign management and optimization - Audience targeting and segmentation - Integration with advertising platforms |
| Mobile (SMS/Push) | 13% | - MobilePush tools and functionalities - GroupConnect and WhatsApp integration - Mobile Studio configuration and usage - MobileConnect features and capabilities |
| Triggers | 7% | - Data extension and trigger management - SOAP and REST API triggers - Event-driven automation |
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質問 # 85
What is the fastes way to add a classification to a post?
正解：C
解説：
* Understanding Classifications and Macros:
* Classifications:In Social Studio, classifications are tags or labels you apply to posts to categorize them (e.g., sentiment, product, campaign, etc.). They are essential for analysis and reporting.
* Macros:Macros are pre-defined sets of actions that can be applied to posts with a single click.
They automate repetitive tasks.
* Why Macros are the Fastest:
* Automation:Macros are designed for efficiency. You can create a macro that applies a specific classification (or a set of classifications) to a post automatically.
* One-Click Application:Instead of manually selecting the classification from a dropdown menu for each post, you simply select the post(s) and apply the relevant macro.
* How to Use Macros for Classifications:
* Create a Macro:In Social Studio, go to "Admin" then find "Macros" under your workspace.
Create a new macro and name it appropriately (e.g., "Classify as Positive Sentiment").
* Define Macro Actions:Within the macro, add an action to "Set Classification." Choose the desired classification tag(s).
* Apply the Macro:In Engage, select the post(s) you want to classify. From the action menu, choose your macro.
* Why Other Options Are Incorrect:
* B. Add classification manually to each post:While youcanadd classifications manually, it's time-consuming, especially when dealing with a large volume of posts.
* C. Classification cannot be added to a post:This is incorrect. Classifications are a fundamental part of organizing and analyzing social data in Social Studio.
In Summary:
Macros provide the fastest way to add classifications to posts in Social Studio because they automate the process, allowing you to apply classifications with a single click. Therefore,A. Macrois the correct answer.
質問 # 86
How frequently does Einstein Engagement Scoring updates to email?
正解：B
質問 # 87
What is true about shared entry event.
正解：C
質問 # 88
If a subscriber, who joined 2 weeks ago, clicks the main CTA (download mobile app), send the subscriber email content on the top five mobile app features. If not, send original email. 50K max daily audience. Series of 3 emails. Based on the scenario above, what is the best solution to automate this daily campaign?
正解：A、B、C
質問 # 89
What is true about Einstein engagement frequency (EEF). Select 3
正解：B、C、D
解説：
Understanding Einstein Engagement Frequency (EEF):
Purpose: EEF is a Marketing Cloud Einstein feature that helps optimize email send frequency for each subscriber. It aims to reduce unsubscribes and improve engagement by sending the right number of emails to each person.
How it Works: EEF analyzes historical engagement data (opens, clicks, etc.) to predict the optimal send frequency for each subscriber.
Correct Statements:
A: EEF uses only commercial send data not transactional: EEF focuses on optimizing marketing email frequency. Transactional emails (order confirmations, password resets) are typically triggered by specific events and are not part of EEF's optimization.
B: The model uses data available only in your account: EEF's predictions are based on the engagement data within your specific Marketing Cloud account. It doesn't use data from other accounts or external sources.
C: Used to determine the correct no of mails to be sent so that there are fewer unsubscribes due to email fatigue: This is the core purpose of EEF. It aims to find the "sweet spot" for each subscriber - enough emails to keep them engaged, but not so many that they unsubscribe due to email fatigue.
Incorrect Statement:
D: It uses the last 90 days of engagement data: EEF uses the last 28 days of engagement data, not 90.
In Summary:
EEF uses your account's commercial email send data from the last 28 days to determine the optimal email frequency for each subscriber, reducing unsubscribes. A, B, and C are correct.
質問 # 90
......
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