Salesforce Certified Development Lifecycle and Deployment Architect certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Salesforce Certified Development Lifecycle and Deployment Architect exam and earn Salesforce Certified Development Lifecycle and Deployment Architect certification.
Question
Exam Question
Universal Containers uses multiple Salesforce orgs for its different lines of business (LOBs). In a recent analysis, the architect found that UC could have a more complete view of its customers by gathering customer data from different orgs.
What two options can an architect recommend to accomplish the customer 380-degree view? (Choose two.)
A. Implement a Complete Graph multi-org strategy by allowing each org to connect directly to every other, reading and writing customer data from the orgs where it has been originally created.
B. Migrate from multi-org to single-org strategy, consolidating customer data in the process.
C. Implement a Single Package multi-org strategy by developing and deploying to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs.
D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it.
Correct Answer
C. Implement a Single Package multi-org strategy by developing and deploying to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs.
D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it.
Explanation 1
According to the Salesforce Certified Development Lifecycle and Deployment Architect exam, an architect can recommend two options to accomplish the customer 380-degree view in Salesforce. These are:
- A. Implement a Complete Graph multi-org strategy by allowing each org to connect directly to every other, reading and writing customer data from the orgs where it has been originally created.
- D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it.
Therefore, the correct answers are A and D.
Explanation 2
The correct answers are C and D.
A Hub-and-Spoke multi-org strategy is a good option for organizations that need to consolidate customer data from multiple orgs. In this strategy, a single org is designated as the master of customer data, and all other orgs connect to it and read and write customer data from it. This can be accomplished using integration strategies such as point-to-point integration, API integration, or platform events.
A Single Package multi-org strategy is another good option for organizations that need to consolidate customer data from multiple orgs. In this strategy, a managed package is developed and deployed to all orgs that reads and consolidates customer data from the different orgs. This can be accomplished using a variety of methods, such as using a data lake or a data warehouse.
The other options are not as good because they do not provide a complete view of the customer. A Complete Graph multi-org strategy allows each org to connect directly to every other, reading and writing customer data from the orgs where it has been originally created. This can lead to data silos and a lack of visibility into the customer. Migrating from multi-org to single-org strategy, consolidating customer data in the process is a complex and time-consuming process that can be disruptive to the business.
Overall, a Hub-and-Spoke multi-org strategy or a Single Package multi-org strategy are the best options for organizations that need to consolidate customer data from multiple orgs.
Explanation 3
To accomplish a complete view of its customers by gathering customer data from different orgs, an architect can recommend two options:
- B. Migrate from multi-org to single-org strategy, consolidating customer data in the process.
- D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it.
Explanation 4
The correct answers are C and D.
A Complete Graph multi-org strategy is not a good option because it would require each org to connect directly to every other org. This would be very complex and difficult to manage.
Migrating from a multi-org to a single-org strategy is also not a good option because it would be very disruptive and expensive.
A Single Package multi-org strategy is a good option because it would allow each org to maintain its own data, but would also allow for a consolidated view of customer data.
A Hub-and-Spoke multi-org strategy is also a good option because it would allow for a consolidated view of customer data, but would also allow each org to maintain its own data.
The best option for Universal Containers would depend on their specific needs and requirements.
Explanation 5
According to the Salesforce documentation, there are three main strategies for managing multiple orgs: Hub-and-Spoke, Complete Graph, and Single Package. Each strategy has its own benefits and challenges depending on the use case and requirements. For Universal Containers, the goal is to achieve a more complete view of its customers by gathering customer data from different orgs. Therefore, the two options that an architect can recommend are:
- B. Migrate from multi-org to single-org strategy, consolidating customer data in the process. This option would simplify the data management and governance by having a single source of truth for customer data. It would also reduce the complexity and cost of integration and maintenance across multiple orgs. However, this option would also require a significant effort and planning to migrate the data, metadata, and business processes from the existing orgs to the new one. It would also require careful consideration of the security, performance, and scalability implications of having a single org for different lines of business.
- D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it. This option would also provide a single source of truth for customer data by using a hub org as the master of customer data. It would also allow the LOBs orgs to maintain their autonomy and flexibility by using their own orgs for their specific business processes. However, this option would also require integration solutions to synchronize the data between the hub and the spokes orgs. It would also require careful design of the data model and sharing rules in the hub org to ensure data quality and security.
The other two options are not suitable for achieving a more complete view of customer data across multiple orgs. Option A (Complete Graph) would create a complex network of connections between all orgs, which would increase the risk of data inconsistency and duplication. Option C (Single Package) would create a common set of functionality across all orgs, but it would not consolidate or synchronize the customer data between them.
Explanation 6
The correct answers are C and D.
A Hub-and-Spoke multi-org strategy consolidates customer data in a single org, which will be the master of customer data, and uses integration strategies to let the LOBs orgs read and write from it. This strategy provides a single source of truth for customer data and allows LOBs to access the data they need.
A Single Package multi-org strategy develops and deploys to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs. This strategy provides a single view of customer data across all orgs and allows LOBs to access the data they need.
The other options are not recommended because they do not provide a single source of truth for customer data or allow LOBs to access the data they need. Option A, a Complete Graph multi-org strategy, allows each org to connect directly to every other, reading and writing customer data from the orgs where it has been originally created. This strategy can lead to data inconsistencies and make it difficult for LOBs to access the data they need. Option B, migrating from multi-org to single-org strategy, consolidating customer data in the process, is a complex and time-consuming process that may not be feasible for all organizations.
Explanation 7
Salesforce orgs are entities that represent a customer’s version of Salesforce and its data within an instance. An instance is a self-contained unit that contains all that is required to run Salesforce, such as the application server, database server, database itself, search and file system. Salesforce groups together around 10,000 customers into a single instance or POD. There are different types of instances, such as production instances and sandbox instances. A production instance is used for real business operations, while a sandbox instance is used for testing and development purposes.
Some customers may have multiple Salesforce orgs for different lines of business (LOBs), such as sales, marketing, service, etc. This can create challenges for having a complete view of the customer data across the orgs. To address this issue, Salesforce offers different integration patterns for connecting multiple Salesforce orgs. Some of these patterns are:
- Complete Graph: This pattern allows each org to connect directly to every other org, reading and writing customer data from the orgs where it has been originally created. This pattern provides real-time data synchronization and high data quality, but it also requires complex configuration and maintenance.
- Hub-and-Spoke: This pattern consolidates customer data in a single org, which acts as the master of customer data, and uses integration strategies to let the LOBs orgs read and write from it. This pattern simplifies data management and governance, but it also introduces latency and dependency on the hub org.
- Single Package: This pattern develops and deploys to all orgs a managed package that reads and consolidates customer 360-degree view from the different orgs. This pattern leverages the existing Salesforce platform features and tools, but it also requires custom development and testing.
- Single Org: This pattern migrates from multi-org to single-org strategy, consolidating customer data in the process. This pattern eliminates data duplication and integration costs, but it also requires a large-scale data migration and re-engineering of business processes.
Depending on the customer’s requirements and constraints, an architect can recommend one or more of these options to accomplish the customer 360-degree view. For example, if the customer wants to have real-time data synchronization and high data quality across the orgs, the architect can recommend the Complete Graph option. If the customer wants to simplify data management and governance across the orgs, the architect can recommend the Hub-and-Spoke option. If the customer wants to leverage the existing Salesforce platform features and tools across the orgs, the architect can recommend the Single Package option. If the customer wants to eliminate data duplication and integration costs across the orgs, the architect can recommend the Single Org option.
Explanation 8
To accomplish a 360-degree view of customers by gathering customer data from different Salesforce orgs, an architect can recommend the following two options:
C. Implement a Single Package multi-org strategy by developing and deploying a managed package that reads and consolidates the customer 360-degree view from the different orgs.
With this approach, the architect can develop a managed package that can be deployed to all the orgs. The managed package would contain the necessary components, such as custom objects, fields, and logic, to extract and consolidate customer data from each org into a unified view. This strategy allows for data aggregation and provides a comprehensive view of the customers across the multiple orgs.
D. Implement a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it.
In this approach, the architect can designate one Salesforce org as the “hub” or central org that acts as the master of customer data. The customer data from different LOB orgs can be consolidated into the central org, enabling a complete view of customers. Integration strategies, such as APIs or middleware, can be used to establish communication between the LOB orgs and the central org, allowing the LOB orgs to read and write customer data as needed.
Both options C and D aim to consolidate customer data from multiple orgs to provide a more complete view of customers. Option C utilizes a managed package approach to achieve data consolidation, while option D focuses on a centralized “hub-and-spoke” model for data management.
It’s important to consider the specific requirements, data volume, data privacy, and governance needs of Universal Containers when choosing the most suitable approach. Additionally, thorough planning and analysis are necessary to ensure successful implementation and seamless integration of customer data across the different orgs.
