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| Section | Weight | Objectives |
|---|---|---|
| Salesforce Data Management | 25% | - Describe the considerations for data archival - Describe the implications of LDV on data management - Describe the considerations for data governance - Describe the considerations for data migration |
| Data Migration | 15% | - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality - Describe the considerations for data migration |
| Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Data Governance | 10% | - Describe the considerations for data classification - Describe the considerations for data quality - Describe the elements of a data governance framework |
| Large Data Volumes | 20% | - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling |
| Data Modeling/Database Design | 25% | - Describe the options and considerations for Large Data Volumes (LDV) - Describe the considerations when designing a data model for Salesforce - Describe the implications of LDV on data modeling - Explain the usage of external objects |
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NEW QUESTION # 181
Universal Containers has successfully migrated 50 million records into five different objects multiple times in a full copy sandbox. The Integration Engineer wants to re-run the test again a month before it goes live into Production. What is the recommended approach to re-run the test?
Answer: B
Explanation:
The recommended approach to re-run the test is to refresh the full copy sandbox and re-run the data migration test. A full copy sandbox is a replica of the production Org, including all data, metadata, and attachments. Refreshing a full copy sandbox means creating a new copy of the production Org and replacing the existing sandbox. This would ensure that the test is run on a clean and up-to-date environment, without any leftover data or configuration from previous tests.
Truncating or hard deleting objects would not be sufficient, because they would not remove all the data or metadata from the sandbox, and they could also affect other dependent objects or processes.
NEW QUESTION # 182
Universal Containers (UC) uses the following Salesforce products:
- Sales Cloud for customer management.
- Marketing Cloud for marketing.
- Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?
Answer: C
Explanation:
According to the Salesforce documentation, Marketing Cloud is a platform that allows creating and managing marketing campaigns across multiple channels, such as email, mobile, social media, web, etc. Marketing Cloud can integrate with Sales Cloud and other Salesforce products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect, which allows syncing data between the two platforms using synchronized data sources.
However, if UC occasionally gets a list of prospects from third-party sources as CSV files for marketing purposes, it may not be necessary or efficient to load them into Sales Cloud first and then sync them with Marketing Cloud. This can consume large amounts of storage in Sales Cloud, which has a limit based on the license type. It can also cause data quality issues, such as duplicates or outdated information.
A better option for UC is to load the contacts directly to Marketing Cloud using Import Definition, which allows importing data from external files or databases into Marketing Cloud data extensions. Data extensions are custom tables that store marketing data in Marketing Cloud. This way, UC can avoid storage issues in Sales Cloud and optimize the marketing process by sending marketing communications directly from Marketing Cloud.
To track prospects that are converted to customers, UC can have a reconciliation process that compares the contacts in Marketing Cloud with the accounts or contacts in Sales Cloud. This can be done using SQL queries or API calls to access and compare data from both platforms.
Alternatively, UC can use Marketing Cloud Connect to sync the converted contacts from Sales Cloud to Marketing Cloud using synchronized data sources.
NEW QUESTION # 183
Universal Containers has two systems. Salesforce and an on-premise ERP system. An architect has been tasked with copying Opportunity records to the ERP once they reach a Closed/Won Stage. The Opportunity record in the ERP system will be read-only for all fields copied in from Salesforce. What is the optimal real-time approach that achieves this solution?
Answer: C
Explanation:
Implementing a workflow rule that sends Opportunity data through Outbound Messaging is the optimal real-time approach that achieves the solution of copying Opportunity records to the ERP once they reach a Closed/Won Stage. A workflow rule can trigger an Outbound Message when an Opportunity record meets certain criteria, such as having a Closed/Won Stage. An Outbound Message can send data from Salesforce to an external system via SOAP API, without requiring any code. The external system can then process the data and create a read-only record in the ERP system. The other options are not optimal or real-time, as they would either require additional systems or tools, not provide real-time data synchronization, or not meet the frequency requirement
NEW QUESTION # 184
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and 100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error. Which 3 options should help improve the dashboard performance? Choose 3 answer
Answer: A,B,E
Explanation:
To improve the dashboard performance, the data architect should use selective queries to reduce the amount of data being returned, de-normalize the data by reducing the number of joins, and reduce the amount of data queried by archiving unused opportunity records. These options will help optimize the query performance, reduce the query complexity, and free up storage space.
NEW QUESTION # 185
A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1. Distributor create sales order in salesforce
2. Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?
Answer: D
Explanation:
According to the Salesforce documentation, an opportunity is a standard object that represents a potential sale or deal with an account or contact. An opportunity can have products and prices associated with it using price books. A price book is a standard object that contains a list of products and their prices for different regions, currencies, segments, etc. A price book can be shared with different users or groups based on their visibility and access settings.
To model the requirement of implementing a distributor management application in Salesforce, where distributors create sales orders based on product prices applicable to their region, and sales orders are closed once they are fulfilled, a data architect should:
Configure price books for each region and share with distributors (option B). This means creating different price books for different regions with the appropriate products and prices, and sharing them with the distributors who belong to those regions. This way, distributors can create sales orders (opportunities) using the price books that are relevant to their region.
NEW QUESTION # 186
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