Create validation rules to check If the required attributes are entered.

Explanation:

Validation rules enforce data entry requirements at the database level, ensuring completeness regardless of user interface or external integration method. Unlike Page Layout required fields (option A), which only apply at the UI level, validation rules reliably enforce the conditions across all data entry points, including integrations and APIs. Marking fields as universally required under Setup (option C) applies globally but limits flexibility for different business scenarios. Validation in integration (option D) helps but doesn't enforce data integrity within Salesforce itself. Validation rules provide robust, consistent enforcement, ensuring data integrity directly within Salesforce, which is ideal when mandatory fields are critical for downstream MDM solutions.

Salesforce Connect

Explanation:

Salesforce Connect allows users to access external data from other Salesforce orgs or external systems through External Objects. This feature is ideal for scenarios where data must be available across multiple Salesforce orgs without physically replicating data between them. In this scenario, Northern Trail Outfitters needs users to have read-only access across multiple regional orgs. Salesforce Connect achieves exactly this, providing real-time, read-only visibility into external data residing in other Salesforce orgs. Salesforce-to-Salesforce (option B) copies data rather than providing real-time external access. Federated Search (option C) provides unified search but not direct record-level access. External APIs (option D) require more complex integration and don't inherently provide seamless read-only data views. Salesforce Connect offers the simplest, most effective way to meet this requirement efficiently.

Export Bulk API in parallel mode

Use PK Chunking

Explanation:

B (Bulk API parallel mode): Significantly boosts export performance by processing batches concurrently, efficiently handling very large datasets.

C (PK Chunking): Partitioning large datasets into smaller, manageable chunks based on primary keys dramatically reduces API limitations and enhances efficiency for massive exports.

Multiple batches (Option A) alone isn't sufficiently efficient without optimization like PK chunking. Limiting batch size to 10K (Option D) doesn't inherently address overall performance. Salesforce explicitly recommends parallel Bulk API and PK chunking for multi-million record exports, especially critical when handling massive datasets with parent-child records, as seen in Order-Line Item scenarios.

Integrate Salesforce with the ERP environment.

Utilize an MDM strategy to outline a single source of truth.

Explanation:

A (Integrate Salesforce with ERP): Direct integration ensures synchronized data updates and consistency across all systems efficiently.

C (MDM strategy): Establishes a centralized data governance approach, defining clear ownership, synchronization rules, and maintaining consistent data across multiple systems.

Workbench updates (B) and dashboards (D) provide reporting or manual actions rather than automated synchronization. Automated integration plus a defined Master Data Management strategy ensure robust, scalable, and accurate system synchronization.

You want real-time access to the latest data, from other systems.

You have a large amount of data that you don't want to copy into your Salesforce org.

You need to small amounts of external data at any one time.

Explanation:

Salesforce Connect fits best when:

A (Real-time access): You require real-time visibility without data copying.

D (Large data volume, no copying desired): Ideal to avoid storage overhead.

E (Small subsets at a time): Salesforce Connect performs best when accessing smaller, focused datasets in real-time.

Option B describes traditional import scenarios, opposite of Salesforce Connect's design. Option C (VPN exposure) relates to network infrastructure, not specifically Salesforce Connect capabilities. Salesforce Connect excels at external, real-time access without data duplication or large-volume storage impacts.