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| Section | Weight | Objectives |
|---|---|---|
| Delivery | 12% | - Optimize resources and delivery methodologies - Align delivery with business objectives - Manage stakeholder expectations and acceptance - Plan solution delivery and implementation lifecycle |
| Operationalize the Solution | 8% | - Enable teams for solution operation - Plan for evolution and scaling - Plan ongoing management and support - Define monitoring and maintenance processes |
| Discovery and Customer Success | 25% | - Define future-state architecture and roadmap - Align solutions with business outcomes - Document business needs, vision, and success criteria - Plan incremental delivery steps |
| Design | 29% | - Address functional and non-functional requirements - Evaluate design trade-offs and risks - Map sharing, visibility, and security models - Select appropriate Salesforce multi-cloud solutions - Design scalable, secure, and compliant architectures |
| Data Governance and Integration | 26% | - Define data flows and system relationships - Establish data governance and quality frameworks - Manage master data and cross-system consistency - Design data migration and synchronization strategies - Select integration methods and patterns |
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NEW QUESTION # 69
Universal Containers (UC) currently utilizes Sales Cloud and ExperienceCloud for its customers. For the next phase in its digital transformation, UC would like to enable its vast dealer network with the kinds of tools its direct Sales teams are currently using. UC is considering Partner Communities (PRM) on Experience Cloud.
UC's concern at the moment is making sure that its dealer network only gets access to the opportunities they themselves bring to UC or that UC submits to the dealer to close. This is a concern for the VP of direct sales who has issues with bringing PRM inat all.
What is the initial suggestion a Solution Architect should provide to make Partner Communities work for UC?
Answer: B
Explanation:
For Universal Containers to ensure that its dealer network only accesses relevant opportunities, the external sharing model in Salesforce Experience Cloud offers a tailored solution. This model allows for distinct sharing settings between internal and external users, enabling granular control over data accessibility. By leveraging this model, UC can configure sharing rules and access levels specific to Partner Community users, ensuring dealers only see opportunities they are directly involved with. This approach addresses the VP of direct sales' concerns by safeguarding internal opportunity visibility while effectively enabling dealers through PRM capabilities. Salesforce's documentation on sharing models and communities best practices underscores the importance of utilizing external sharing models to maintain data security and integrity in collaborative environments like Partner Communities.
NEW QUESTION # 70
Universal Containers (UC) has a multi-cloud environment that includes Sales Cloud, Service Cloud, and CPQ. The environment supports multiple languages via the translation workbench. As part of a roadmap, UC is implementing B2B Commerce. As part of this project, there is a requirement to translate data stored within the Name and Description fields on the Productand Product Category objects.
What should a Solution Architect recommend to achieve this?
Answer: D
Explanation:
To address the requirement for translating Product and Product Category object fields within B2B Commerce, enabling data translation specifically for B2B Commerce is the recommended approach. This solution allows for the localization of product information, enhancing the customer experience in different regions. By utilizing B2B Commerce's capabilities for handling multilingual content, UC can ensure that product names and descriptions are accurately translated, aligning with global commerce best practices and improving user engagement across diverse markets.
NEW QUESTION # 71
Universal Containers (UC) is starting to go through an inventory of capabilities in regard to its many data warehouses. UC's data warehouses are currently being provided with data from OMS, ERP, Accounting, and other inventory management systems. Data warehouses are utilized by those systems for storage or analytics purposes.
UC plans to utilize the Systems of Engagement framework to classify its systems based on how they will be utilized within the enterprise architecture. UC would like to understand which systems it should directly integrate with versus utilizing the data warehouses where that data may also be stored.
How should a Solution Architect classify the data warehouses as systems within the enterprise architecture of this scenario?
Answer: A
Explanation:
In an enterprise architecture, data warehouses typically serve as a System of Record (SoR). They contain the authoritative data source for a given piece of information and are used for storage and analytics purposes. The Systems of Engagement (SoE) framework would classify the data warehouses as SoR because they maintain the official copy of the data being used by various systems. This classification aids in deciding on integration strategies and data flow within the enterprise architecture.
NEW QUESTION # 72
Universal Containers (UC) uses Sales Cloud, Service Cloud, and Experience Cloud. The implementation was completed 5+ years ago, and Service Cloud users are now expressing dissatisfaction with system performance. A custom Visualforce page was developed to show relevant data to Experience Cloud users.
The same page is used by the Support team but displays more information based on their profile. UC has a small internal Support team for Salesforce that periodically enables new features in production.
Which best practice should the Solution Architect recommend to avoid these types of issues in the future?
Answer: A
Explanation:
To avoid issues related to system performance and ensure the scalability of Salesforce solutions, it's crucial to manage technical debt and thoroughly test new features in a controlled environment. A sandbox provides a safe space for testing, allowing UC to simulate the impact of changes without affecting the production environment. This practice helps in identifying potential issues and resolving them before they can impact end-users.
Salesforce's documentation on best practices for managing technical debt and the use of sandboxes for testing provides guidance on these processes, emphasizing the importance of a proactive approach to system maintenance and feature testing.
https://admin.salesforce.com/blog/2021/tech-debt-what-it-is-and-why-you-should-care
NEW QUESTION # 73
Universal Containers (UC) is implementing a SalesforceB2B multi-cloud project with large volumes of data and daily transactions from multiple third-party systems via multiple integrations. UC is looking at transactions of more than 1 million records a week and, in higher seasons, 10 million records a week. UC has made the decision to get a full copy sandbox to use to test all of its third-party integrations across its multiple clouds. UC has also invested in MuleSoft and the Anypoint Platform as the single enterprise service bus for all of the third-party data going into Salesforce.
Which type of performance testing should a Solution Architect recommend for testing data at scale on this project?
Answer: B
Explanation:
There are different types of performance testing, such as load testing, stress testing, endurance testing, and spike testing. Each type has a different purpose and goal.
the best type of performance testing is API load test against the full copy sandbox before go live. This type of test can help you evaluate how well your integrations handle high volumes of data and transactions from multiple sources. It can also help you validate the functionality and performance of your MuleSoft Anypoint Platform.
To perform an API load test, you need to create a test plan thatdefines the test scenarios, test data, test tools, and test metrics. You also need to submit a request for performance testing to Salesforce2 and follow their guidelines and best practices.
A full copy sandbox is a good environment for API load test because it has the same data and metadata as your production org. This can help you simulate realistic conditions and avoid data skew issues.
When dealing with large volumes of data and multiple integrations, it is important to perform load testing to ensure that the system can handle the expected load. An API load test against the full copy sandbox will simulate the expected load and help identify any performancebottlenecks before the system goes live in production. This type of testing should be performed prior to go live to ensure that the system can handle the expected load and provide a good user experience.
NEW QUESTION # 74
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