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| Section | Objectives |
|---|---|
| Salesforce Data Model and Platform Capabilities | - Standard and custom objects - Reporting and analytics considerations - Relationships and schema design |
| Data Management | - Master data management (MDM) concepts - Data quality management - Data governance principles |
| Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Data Architecture and Design | - Handling large data volume and scalability considerations - Conceptual and logical data modeling - Data modeling best practices in Salesforce |
| Data Integration | - Integration patterns in Salesforce - API-based integration approaches - ETL vs ELT strategies |
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262. Frage
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record. What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 3 answer
Antwort: D,E,F
Begründung:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce
263. Frage
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders. What should be used to mitigate this problem?
Antwort: B
Begründung:
Using validation rules to mitigate this problem is the best option. Validation rules can help you prevent invalid data from being entered in your web order form. You can use validation rules to check for data quality, format, range, or consistency. For example, you can use validation rules to ensure that the order quantity is positive, the product code is valid, or the shipping address is complete.
264. Frage
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?
Antwort: A
Begründung:
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
265. Frage
Northern Trail Outfitters (NTO) has the following systems:
- Customer master-source of truth for customer information
- Service cloud-customer support
- Marketing cloud-marketing support
- Enterprise data warehouse--business reporting
The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve? Choose 3 answer
Antwort: B,D,E
Begründung:
According to the What is Master Data Management (MDM)? article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that "MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference." Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.
266. Frage
Which three characteristics of a skinny table help improve report and query performance?
Antwort: A,C,D
Begründung:
The three characteristics of a Skinny table that help improve report and query performance are:
Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.
267. Frage
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