Salesforce Certified Data Architect Practice Test - Questions Answers, Page 8

Creating a duplicate rule for account, lead, and contact, using standard matching rules for these objects, and setting the action to report and alert for both creates and edits can help UC fix the issue immediately by prompting users about a record that possibly exists in Salesforce.This can also generate a report regarding duplicate records that can be used for further analysis and resolution

Using a declarative approach by installing and configuring Data.com Clean to monitor Account data quality can help UC meet their requirement. Data.com Clean can enrich and cleanse data on an ongoing basis by comparing Salesforce records with Data.com records and providing suggestions for updates.Data.com Clean can also provide dashboards and reports to monitor key data quality metrics such as match rate, field fill rate, and record completeness

Creating an account plan object with a lookup relationship to Account with validation rules to enforce the Account association can help UC meet their requirement. A lookup relationship allows different accessibility requirements for the account plan object and the account object, as well as different ownership and sharing settings. A validation rule can ensure that each account plan has an account associated with it.

Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records. Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.

Using a validation rule for each field that takes the Stage into consideration is the simplest approach to handle this new requirement. A validation rule can enforce the field requirements based on the logic and criteria that you define, and display an error message when users try to save a record that does not meet the requirements. Updating the Opportunity page layout to mark these fields as required will not work because page layouts do not support conditional field requirements. Updating these Opportunity field definitions in Setup to be required will not work because it will apply to all stages and records.Writing an Apex trigger that checks each field when records are saved is not the simplest approach because it requires coding and testing

Leverage an External ID from source system orders to import related order lines. This is the recommended solution because it allows you to use the upsert operation to match records based on the External ID field, which is indexed and unique.This avoids the need to query the parent order IDs in Salesforce before importing the order line items, which can cause time-out errors or long delays1.

Specify the legacy CRM as the system of record during transition until it is removed from operation and fully replaced by Salesforce. This is a good technique to ensure data consistency and avoid conflicts between the two systems. Work with stakeholders to establish a Master Data Management plan for the system of record for specific objects, records, and fields.This is another good technique to define the data governance and stewardship policies and processes for managing data quality and integrity across multiple systems

Integrate SAP with Salesforce, SAP to legacy CRM but not legacy CRM to Salesforce. This is a good recommendation because it allows both Salesforce and the legacy CRM to interact with the ERP system, which can be the source of truth for some data entities. However, it avoids creating a direct connection between Salesforce and the legacy CRM, which can cause data duplication and synchronization issues. Suggest MDM solution and link MDM to salesforce and SAP.This is another good recommendation because it can help manage the data lifecycle and quality across multiple systems, as well as provide a single view of the customer data

Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects.Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries4. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries.Custom indexes can speed up data retrieval and reduce query execution time