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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Configuration | 12% | - Mobile Studio configuration and troubleshooting - Sender Authentication Package implementation - Account hierarchy design and management - Reply Mail Management setup and resolution |
| Topic 2: Discovery and Architecture | 16% | - Data and segmentation strategy design - Requirements gathering and analysis - Solution recommendation and long-term maintainability |
| Topic 3: Data Modeling and Management | 21% | - Data object selection and relationship definition - Contact identity and data governance - Reporting, data views, and tracking extracts |
| Topic 4: Integration | 20% | - Data model design for personalized messaging - Extension product selection and implementation - Marketing Cloud Connect configuration and troubleshooting |
| Topic 5: Automation | 20% | - Automation type and activity selection - Automation Studio workflow implementation - Journey Builder flow design |
| Topic 6: Messaging | 11% | - Cross-channel messaging strategy - Personalized content design and delivery - Deliverability and compliance management |
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NEW QUESTION # 99
A customer has curated a list of known email addresses belonging to competitors. They want to ensure none of these competitors receive their emails.
What should a consultant recommend?
Answer: B
Explanation:
Because the customer already possesses a fixed, curated list of known competitor email addresses - a static, externally-sourced list rather than a set dynamically derived from an internal query against existing behavioral or attribute data - the correct approach is to load these known addresses directly into an auto-suppression list, which then automatically applies to all qualifying future sends and prevents any of the listed addresses from receiving marketing communications going forward without requiring the list to be manually re-attached to each individual send. Populating it directly with the known email addresses (rather than subscriber keys, as in option B) is appropriate here specifically because the source data the customer has in hand is a list of raw email addresses, not internal subscriber key values, and the suppression mechanism can match directly against the email address field. Option A describes building a list via query to ' exclude the subscriber key, ' which misapplies a query-based approach to what is fundamentally a static, externally-provided list rather than data that needs to be dynamically derived through SQL logic. Option D ' s ' exclusion list ' is not the correct, standard Marketing Cloud terminology or mechanism for this scenario - auto-suppression list is the actual, documented feature that automatically applies across future sends. Reference: Auto-Suppression Lists.
NEW QUESTION # 100
Do hard bounces need to be removed from lists
Answer: B
NEW QUESTION # 101
What is true about A/B testing?
Answer: A,D
NEW QUESTION # 102
Northern Trail Outfitters (NTO) wants to find ways to better drive return on investment and growth via their marketing sends. They plan to centralize their analytics data to allow for a more efficient analysis of this data across all of their campaigns. NTO currently has Marketing Cloud, Sales Cloud, and a third-party warehouse service.
What product would help their use case?
Answer: B
Explanation:
Marketing Cloud Intelligence (formerly Datorama) is Salesforce ' s cross-channel analytics and data harmonization platform, purpose-built to ingest and unify marketing and performance data from disparate sources - Marketing Cloud engagement data, Sales Cloud pipeline/revenue data, third-party ad platforms, and external data warehouses - into a single normalized reporting layer with customizable dashboards for ROI and growth analysis. This directly matches NTO ' s stated goal of centralizing analytics across multiple systems for efficient cross-campaign analysis. The Web Analytics Connector (A) is a narrower tool that ingests website behavioral data (page visits, product views) into Marketing Cloud for use in journeys and personalization - it is a data source, not a centralized cross-platform BI/reporting layer. Interaction Studio (now part of Personalization) is focused on real-time behavioral tracking and next-best-action personalization at the individual-visitor level, not organization-wide marketing analytics consolidation. ' Report Studio ' (D) is not a distinct Salesforce Marketing Cloud product name and does not correspond to any real analytics offering in this ecosystem. Consultants should map any request for ' unify multi-source marketing data for ROI reporting ' directly to Marketing Cloud Intelligence. Reference: Marketing Cloud Intelligence (Datorama) Overview.
NEW QUESTION # 103
A consultant reviews an implementation where every marketing campaign creates a new Sendable Data Extension containing duplicate customer profile information. After two years, hundreds of nearly identical Data Extensions exist. Which recommendation best improves long- term maintainability?
Answer: B
Explanation:
Maintaining centralized customer information minimizes duplication, reduces synchronization effort, and simplifies governance. Reusable audience Data Extensions or SQL-generated audiences referencing shared data improve consistency while reducing maintenance overhead across future campaigns.
NEW QUESTION # 104
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