Free Practice Questions for Salesforce Data-Architect Exam

 According to the Salesforce Connect Reporting blog post, one of the considerations for using Salesforce Connect for reporting is the OData callout limits per day. The blog post states that “Salesforce Connect has a limit of 100,000 callouts per day. This limit is shared across all external data sources in your org. If you exceed this limit, you will receive an error message and no more callouts will be allowed until the next day.” Therefore, a data architect should consider this limit before implementing Salesforce Connect for reporting.

Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce. Hiring an intern manually de-duplicate the records after migrating to Salesforce (option A) is not a good solution, as it may be time-consuming and error-prone, and it does not prevent duplicate records from being created in Salesforce. Migrating the data as is and using Salesforce’s de-duplicating feature (option B) is also not a good solution, as it may cause data quality issues and conflicts, and it does not address the root cause of the duplication. Having the users manually clean the data in the old system prior to migration (option C) is also not a good solution, as it may be unrealistic and impractical, and it does not leverage any automated tools or processes.

 Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce

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.

Building a customer view in Service Console with components that show website data and marketing data as mashup is the best option to fulfill the requirement with minimum development effort in Salesforce. A mashup is a technique that combines data from different sources into a single user interface. You can use Visualforce pages or Lightning components to create mashups that display data from external systems such as your website and marketing system. This way, you can provide your contact center agents with a comprehensive view of the customer information they need.

 Changing the master-detail relationship to a lookup relationship is the best solution for allowing the creation of generic discount requests without the custom product object as its master record. A lookup relationship allows you to create child records without requiring a parent record. It also gives you more flexibility in defining the sharing and security settings for each object

According to this article, the Apex Connector Framework enables developers to create custom adapters for Salesforce Connect to access data from external systems that are not OData enabled. This can meet UC’s requirements of exposing shipment details to the custom application and accessing the data in real time.

Creating a trigger on Contact and adding an error to the record with a custom label allows the architect to use the translation workbench to translate the error message based on the user’s language. Creating a validation rule and translating the error message with translation workbench also achieves the same result. The other options would either not provide translation functionality or not display an error message

single-select restricted picklist with defined choices can be a way to configure customer type. The article states that picklists are fields that allow users to select one or more predefined values from a list, and restricted picklists ensure that users can only select from the defined values. This can help to limit the choices for customer type and ensure data quality.