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| Section | Objectives |
|---|---|
| Data Architecture and Design | - Handling large data volume and scalability considerations - Conceptual and logical data modeling - Data modeling best practices in Salesforce |
| Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Standard and custom objects - Reporting and analytics considerations |
| Data Integration | - API-based integration approaches - ETL vs ELT strategies - Integration patterns in Salesforce |
| Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Data Management | - Data quality management - Master data management (MDM) concepts - Data governance principles |
>> Plat-Arch-201 Fragenkatalog <<
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36. Frage
Northern Trail Outfitters (NTO) has multiple Salesforce orgs based on regions. Users need read- only access to customers across all Salesforce orgs. Which feature in Salesforce can be used to provide access to customer records across all NTO orgs?
Antwort: A
Begründung:
Salesforce Connect is a feature that allows users to access data from external sources and multiple Salesforce orgs, using either clicks or code. Salesforce Connect can provide read-only access to customer records across all NTO orgs, without replicating or storing the data in Salesforce.
37. Frage
UC has been using SF for 10 years. Lately, users have noticed, that the pages load slowly when viewing Customer and Account list view. To mitigate, UC will implement a data archive strategy to reduce the amount of data actively loaded. Which 2 tasks are required to define the strategy?
Choose 2 answer
Antwort: A,B
Begründung:
The two tasks required to define the data archive strategy are to identify how the archive data will be accessed and used, and identify the data retention requirements. Data archiving is the process of moving infrequently used or historical data from active storage to a separate storage location for long-term retention. Data archiving can improve performance, reduce storage costs, and comply with legal or regulatory obligations. To define a data archive strategy, a data architect needs to consider how the archived data will be accessed and used by different users or processes in Salesforce or outside Salesforce, and how long the archived data needs to be retained based on business or legal requirements.
38. Frage
UC is migrating individual customers (B2C) data from legacy systems to SF. There are millions of customers stored as accounts and contacts in legacy database. Which object model should a data architect configure within SF?
Antwort: B
Begründung:
The best object model to configure within SF for migrating individual customers (B2C) data from legacy systems is to leverage person account object in Salesforce. Person accounts are a special type of accounts that store information about individual people by combining certain account and contact fields into a single record. Person accounts are useful for B2C scenarios where there is no need to associate a company name with a contact. Person accounts also support standard Salesforce features and functionality, such as leads, campaigns, reports, dashboards, etc.
Leverage custom person account object in SF is not a good option because there is no such thing as a custom person account object. Leverage custom account and contact object in SF is not a good option because it would require creating and maintaining additional objects and fields that may not be necessary or compatible with standard Salesforce features. Leverage standard account and contact object in SF is not a good option because it would require filling in dummy values for the account name field, which is mandatory for standard accounts.
39. Frage
Universal containers is implementing Salesforce lead management. UC Procure lead data from multiple sources and would like to make sure lead data as company profile and location information. Which solution should a data architect recommend to make sure lead data has both profile and location information?
Antwort: B
Begründung:
The best solution to make sure lead data has both profile and location information is to leverage external data providers to populate company profile and location data. This is because external data providers can enrich lead data with additional information from third-party sources, such as Dun & Bradstreet, ZoomInfo, or Clearbit. This can help improve lead quality, segmentation, and conversion. Salesforce supports integrating with external data providers using Data.com Clean or other AppExchange solutions. Asking sales people to search for populating company profile and location data is inefficient and prone to errors. Running reports to identify records which do not have company profile and location data is useful, but does not solve the problem of how to populate the missing data. Exporting data out of Salesforce and sending to another team to populate company profile and location data is cumbersome and time-consuming.
40. Frage
Universal Containers (UC) provides shipping services to its customers. They use Opportunities to track customer shipments. At any given time, shipping status can be one of the 10 values. UC has 200,000 Opportunity records. When creating a new field to track shipping status on opportunity, what should the architect do to improve data quality and avoid data skew?
Antwort: A
Begründung:
To improve data quality and avoid data skew, the data architect should create a picklist field with values sorted alphabetically for tracking shipping status on opportunity. A picklist field ensures that only valid values are entered and prevents typos or variations in spelling. Sorting the values alphabetically makes it easier for users to find and select the correct value. Data skew occurs when a large number of records are owned by a single user or have a single value for a field.
Creating a picklist field with a limited number of values does not cause data skew, as long as the distribution of values is balanced and not skewed towards one value.
41. Frage
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