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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ad Studio | 12% | - Audience targeting and segmentation - Integration with advertising platforms - Campaign management and optimization |
| Topic 2: Einstein for Marketing Cloud | 23% | - Einstein Engagement Scoring - Einstein Copy Insights - Einstein Engagement Frequency - AI-powered personalization and prediction - Send Time Optimization |
| Topic 3: Triggers | 7% | - Data extension and trigger management - Event-driven automation - SOAP and REST API triggers |
| Topic 4: Journey Orchestration | 25% | - Activities and decision splits - Comparison between Datorama and Google Analytics - Entry sources and audience evaluation - Journey design and best practices - Reporting and performance analysis |
| Topic 5: Social Studio | 10% | - Social analytics and reporting - Social media publishing and engagement - Content management and moderation |
| Topic 6: Mobile (SMS/Push) | 13% | - MobilePush tools and functionalities - GroupConnect and WhatsApp integration - MobileConnect features and capabilities - Mobile Studio configuration and usage |
| Topic 7: Interaction Studio | 8% | - Personalization and decisioning capabilities - Integration with other Marketing Cloud modules - Real-time interaction management |
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NEW QUESTION # 62
What is true about Einstein engagement frequency (EEF). Select 3
Answer: A,B,D
Explanation:
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.
NEW QUESTION # 63
What is the fastes way to add a classification to a post?
Answer: B
Explanation:
* 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.
NEW QUESTION # 64
What user permission is required to configure SSO in social studio.
Answer: A
Explanation:
* Understanding SSO and its Importance:
* SSO (Single Sign-On):SSO allows users to access multiple applications (like Social Studio) with a single set of credentials. It's a critical security and administrative feature.
* Security Implications:Configuring SSO involves integrating Social Studio with your organization's identity provider. This requires high-level permissions due to its impact on security and user access.
* Super User Role:
* Highest Level of Access:In Social Studio, the "Super User" role is the highest level of administrative access. Super Users have full control over the account, including all settings related to security, user management, and integrations.
* Why Super User is Needed for SSO:Because SSO configuration touches upon core security settings, it's restricted to Super Users to prevent unauthorized changes.
* Other Roles and Their Limitations:
* B. Full User:Full Users have broad access within workspaces but lack the administrative privileges to configure account-level settings like SSO.
* C. Custom User:Custom User roles are defined with specific permissions. While youcould theoretically create a custom role with SSO configuration access, it's generally not recommended and the Super User role is the standard for this task.
* D. Limited User:Limited Users have the most restricted access, primarily for viewing content within workspaces. They definitely don't have SSO configuration permissions.
In Summary:
Configuring SSO in Social Studio requires the highest level of administrative access, which is granted by the A. Super Userrole.
NEW QUESTION # 65
How often is the model refreshed for Einstein engagement frequency(uses 2Sday& data)-weekly
Answer: B
Explanation:
* Model Refresh Frequency:
* Einstein Engagement Frequency's predictive model needs to be updated regularly to reflect the most recent engagement patterns.
* Daily Refresh:
* The EEF model is refresheddaily. This ensures that the send frequency recommendations are based on relatively up-to-date data.
* Why Not Other Options:
* A. Hourly:Hourly refresh would be computationally intensive and unnecessary, as engagement patterns don't change that rapidly.
* C. Monthly:Monthly refresh would be too infrequent, as the model's accuracy would degrade significantly over a month.
* D. Biweekly:Biweekly is also too infrequent to keep the model aligned with recent engagement trends.
In Summary:
The Einstein Engagement Frequency model is refreshedB. Dailyto maintain accuracy.
NEW QUESTION # 66
How should an administrator update the "Do Not Track attribute" value after it has initially been set?
Answer: B
NEW QUESTION # 67
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