SF-Data-Arch Practice Test 4 — 10 Questions

Question 1

What is the primary architectural benefit of using 'External Objects' (Salesforce Connect) for large volumes of historical data?

Accepted Answer

To keep the local Salesforce database lean and performant.. External objects allow Salesforce to access data stored in an external system in real-time without importing it into the local database. This keeps the Salesforce storage usage low and avoids the performance impacts associated with hosting millions of records locally. It is an ideal solution for historical or secondary data that needs to be visible in the UI but does not require being in the same transactional database.

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To speed up the performance of local object triggers.

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To bypass the need for API callout security.

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To allow for complex joins between local and external objects.

Question 2

Refer to the exhibit. An architect is reviewing a JSON configuration for a data load into a Big Object. Which statement correctly describes a requirement for successfully loading data into this specific object type?

Accepted Answer

All fields defined in the Big Object's index must be present in the CSV.. Big Objects are designed for massive data storage but have unique requirements compared to standard objects. When inserting data into a Big Object, the CSV file must include all fields that are defined in the Big Object's custom index. This index is required for querying and uniquely identifying records within the Big Object store.

Answer

The Bulk API 2.0 must be used as it is the only API supporting Big Objects.

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Triggers on the Big Object will execute for each record inserted.

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The operation must be set to 'upsert' to avoid duplicate index entries.

Question 3

Which of the following is the most important factor when choosing between the Bulk API 2.0 and the SOAP API for a large data migration?

Accepted Answer

The total number of records to be migrated.. The primary factor is the volume of data being moved. Bulk API 2.0 is designed specifically for large datasets (hundreds of thousands to millions of records) and operates asynchronously, reducing the likelihood of request timeouts. The SOAP API, while powerful for real-time transactional operations, is synchronous and poorly suited for large-scale data migrations due to its overhead and batch limitations.

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The use of OAuth authentication protocols.

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The requirement to process records synchronously.

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The availability of a command-line interface.

Question 4

Which tool should an architect select to perform a one-time migration of complex, relational data while maintaining parent-child relationships?

Accepted Answer

Salesforce Data Loader.. Salesforce Data Loader is the standard tool for managing complex data migrations. Its ability to map CSV files to objects and maintain relationships via External IDs or record IDs makes it the primary choice for data architects. Using a mature, supported tool minimizes errors during migration and ensures that data integrity is preserved across relational structures, which is critical for successful implementation projects and long-term data reliability.

Answer

Data Import Wizard.

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Salesforce Inspector Chrome extension.

Answer

Change Sets.

Question 5

Refer to the exhibit. What is the primary benefit of configuring a field with these settings for data integration?

Accepted Answer

It enables efficient Upsert operations.. The configuration allows the field to serve as a key for 'Upsert' operations. By marking the field as an External ID and unique, Salesforce can automatically match records from an external system to existing Salesforce records. This prevents duplicates and allows for automated, incremental data updates without needing to know the internal Salesforce record ID, which is critical for robust, scalable integration architectures.

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It enables faster reporting on the Account object.

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It allows for deduplication in the UI.

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It increases the maximum number of records.

Question 6

A financial services firm needs to load 20 million records into an object with a complex sharing model involving many Sharing Rules and Role Hierarchy levels. To minimize the time taken for the data load and avoid performance degradation, which feature should the architect utilize?

Accepted Answer

Utilizing 'Deferred Sharing Maintenance' to pause sharing rule recalculations.. Loading massive datasets into objects with complex sharing logic triggers significant overhead as Salesforce recalculates sharing access for every record. Deferring sharing calculations allows the data load to proceed without immediate recalculation, which is then performed in a single, optimized background process once the load is complete, saving hours of processing time.

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Granting 'Ignore Hierarchy' permissions to the integration user profile.

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Utilizing the 'Granular Locking' feature to allow concurrent sharing updates.

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Setting the Organization-Wide Defaults (OWD) to Public Read/Write for the load.

Question 7

Refer to the exhibit. An integration user is encountering record locking errors during high-volume data updates. What is the most effective technical solution to resolve this contention?

Accepted Answer

Group records by parent ID before processing to ensure serialization.. Record locking in Salesforce often occurs when multiple processes or threads attempt to update the same parent record or records with common children. To resolve this, the integration process should be serialized or partitioned to group related records together. By ensuring that transactions affecting the same parent record are processed sequentially in the same thread, the architecture prevents the 'Unable to lock row' errors, enhancing overall stability and throughput.

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Increase the number of threads in the integration to process records faster.

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Change the record ownership to a generic user account to avoid user locks.

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Disable the 'User Audit' tracking on the affected object.

Question 8

Universal Containers requires a data model where a Child object must have exactly one Parent object that is mandatory. If the Parent is deleted, the Child must be deleted. Which relationship should the Architect select?

Accepted Answer

Master-Detail relationship. A Master-Detail relationship creates a tight coupling where the child's lifecycle is strictly governed by the parent. Deleting the parent automatically triggers a cascade delete of all associated children. This is essential for maintaining referential integrity in parent-child hierarchies where the child cannot exist in isolation, ensuring the database remains clean and logically consistent without requiring custom automation for cleanup tasks.

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Lookup relationship

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Self-relationship

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External lookup relationship

Question 9

Which TWO strategies help manage row locking when inserting records into an object with multiple lookup relationships?

Accepted Answer

Sort the input data by the lookup field values.. High-volume loads often fail due to locking on parent records referenced by lookups. Sorting the input data by the lookup ID ensures that all children for a single parent are processed together, reducing the time a parent record remains locked. Additionally, avoiding unnecessary triggers on the parent object prevents downstream locking, significantly improving throughput for bulk data migrations.

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Use the Bulk API 2.0 in serial mode.

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Increase the batch size to 10,000.

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Convert all lookups to master-detail.

Question 10

An architect is designing a schema to store product information. Each product has many versions, and each version has many components. What is the most efficient way to model this relationship?

Accepted Answer

Model as three separate objects with Master-Detail relationships.. Creating a hierarchical relationship using lookup or master-detail fields on 'Product', 'Version', and 'Component' objects is the most scalable way to represent this structure. By isolating each layer, the architect ensures that reporting, security, and maintenance are simplified. This hierarchical model is cleaner than attempting to flatten the data, as it preserves parent-child integrity at every level.

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Flatten everything into one giant object with 100+ custom fields.

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Use a JSON field to store the hierarchy as a string.

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Create a separate object for every possible component.