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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Explain the usage of external objects |
| Topic 2: Data Governance | 10% | - Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework |
| Topic 3: Salesforce Data Management | 25% | - Describe the implications of LDV on data management - Describe the considerations for data governance - Describe the considerations for data archival - Describe the considerations for data migration |
| Topic 4: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
| Topic 5: Large Data Volumes | 20% | - Describe the considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV |
| Topic 6: Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration - Describe the considerations for data migration |
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NEW QUESTION # 93
Cloud Kicks has the following requirements:
- Data needs to be sent from Salesforce to an external system to
generate invoices from their Order Management System (OMS).
- A Salesforce administrator must be able to customize which fields
will be sent to the external system without changing code.
What are two approaches for fulfilling these requirements? (Choose two.)
Answer: B,C
Explanation:
An Outbound Message is a native Salesforce feature that allows sending data to an external system without code. It can be configured to include any fields from the source object. A Field Set is a collection of fields that can be used in Visualforce pages or Apex classes to dynamically determine the fields to send in an HTTP callout. Both of these approaches meet the requirements of Cloud Kicks.
NEW QUESTION # 94
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error. Which solution should a data architect recommend, to resolve the error?
Answer: A
Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation
NEW QUESTION # 95
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions.
DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office.
DreamHouse Realty has created hundreds of thousands of Transactions per year. A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist. What are two important considerations for the Data Architect in this scenario?
(Choose two.)
Answer: A,C
Explanation:
The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org. The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field. These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.
NEW QUESTION # 96
The architect is planning a large data migration for Universal Containers from their legacy CRM system to Salesforce. What three things should the architect consider to optimize performance of the data migration? Choose 3 answer
Answer: A,B,C
Explanation:
Removing custom indexes on the data being loaded will prevent unnecessary index maintenance and improve the data load speed. Deferring sharing calculations of the Salesforce Org will avoid frequent sharing rule evaluations and reduce the load time. Deactivating approval processes and workflow rules will prevent triggering any automation logic that might slow down or fail the data load.
NEW QUESTION # 97
Universal Containers (UC) is implementing a Salesforce project with large volumes of data and daily transactions. The solution includes both real-time web service integrations and Visualforce mash - ups with back-end systems. The Salesforce Full sandbox used by the project integrates with full-scale back-end testing systems. What two types of performance testing are appropriate for this project? Choose 2 answer
Answer: B,D
Explanation:
Pre-go-live automated page-load testing against the Salesforce Full sandbox can help identify and resolve any performance bottlenecks or issues before deploying the solution to production.
The Full sandbox is an ideal environment for performance testing as it replicates the production org in terms of data, metadata, and integrations. Stress testing against the web services hosted by the integration middleware can also help evaluate the scalability and reliability of the integration solution under high load conditions.
NEW QUESTION # 98
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