SF-Data-Arch Salesforce Data Management — Timed 20 Questions

Question 1

A company is planning a data archiving strategy for closed opportunities older than seven years. Which TWO actions should the architect recommend? (Select TWO)

Accepted Answer

Export data to an external database or cloud storage.. Archiving strategies typically involve exporting historical data to external storage to free up Salesforce storage space and improve query performance. By using Big Objects or external systems, organizations can maintain access to long-term data without cluttering the operational database. These methods ensure that the primary Salesforce instance remains performant, meeting both compliance requirements for data retention and internal business needs for system responsiveness.

Answer

Use Custom Objects with private sharing rules.

Answer

Soft-delete records using a custom field.

Answer

Increase the size of the Salesforce Data Storage limit.

Question 2

An organization experiences slow performance when users search for contacts. The database contains over 10 million records. Which architectural change will best improve performance?

Accepted Answer

Request a custom index from Salesforce Support.. Performance issues with large datasets are often caused by non-selective queries. By implementing custom indexes on fields frequently used in filters, the query optimizer can retrieve data efficiently without performing a full table scan. This is a critical data architecture technique for ensuring that search and reporting functionality remains performant as the data volume scales, directly addressing the core cause of system slowdowns in large-scale Salesforce implementations.

Answer

Reduce the number of fields on the Contact object.

Answer

Implement a Platform Cache partition.

Answer

Switch to the Salesforce Lightning user interface.

Question 3

A client uses an external ERP to store financial data and Salesforce for CRM. The client requires real-time synchronization of customer address changes. Which integration pattern is best?

Accepted Answer

Remote Process Invocation - Request and Reply.. The Request and Reply pattern is most suitable for real-time synchronization where both systems need confirmation of a successful data change. By using a middleware layer or Salesforce Connect, the integration ensures that the source of truth is correctly updated. This pattern is critical for data integrity in distributed systems, ensuring that financial data remains consistent across both CRM and ERP platforms without latency issues.

Answer

Batch file transfer via SFTP every 24 hours.

Answer

Fire and Forget using Platform Events.

Answer

UI-based data import for every change.

Question 4

An architect is evaluating data quality issues in Salesforce. Which THREE steps should be taken to improve overall data cleanliness? (Select THREE)

Accepted Answer

Implement Validation Rules on critical fields.. Maintaining high-quality data requires a proactive approach, including standardizing data entry, automating validation, and performing regular audits. By implementing these practices, organizations ensure that data remains consistent and reliable for reporting and business processes. Data quality is a shared responsibility that requires both technical controls and organizational culture to sustain over time, preventing the accumulation of 'bad data' that can lead to poor decision-making.

Answer

Enable 'All Data' access for all users.

Answer

Increase API limits for all user profiles.

Question 5

Which Salesforce feature ensures that sensitive PII (Personally Identifiable Information) data is masked in sandboxes for data privacy?

Accepted Answer

Salesforce Data Mask.. Salesforce Data Mask is the dedicated feature for anonymizing sensitive data during the sandbox creation process. It replaces real customer data with realistic but fake values, ensuring that developers can test functionality without compromising data privacy. This is a vital component of a secure data architecture, ensuring compliance with global privacy regulations while maintaining a functional environment for testing and development activities.

Answer

Field-Level Security.

Answer

Organization-Wide Defaults.

Answer

Encrypted Custom Fields.

Question 6

Universal Containers wants to load 5 million legacy records into the Account object while avoiding trigger executions and minimizing database locking contention during peak business hours. Which configuration strategy should a Data Architect recommend?

Accepted Answer

Utilize Salesforce Bulk API 2.0 in parallel mode with a customized batch size and temporarily disable non-essential triggers.. Executing bulk data loads requires balancing system performance and business continuity. Disabling non-essential automation prevents cascading failures, while batch size optimization mitigates database locking on parent and child tables. Data Architects must orchestrate these loads during maintenance windows to maintain data integrity and prevent user disruption.

Answer

Use the SOAP API with a batch size of 200 during standard business hours with active triggers.

Answer

Deploy a custom Visualforce batch controller to process records synchronously via single DML statements.

Answer

Leverage standard web-to-lead forms routed through an automation workflow to inject records into the database.

Question 7

Universal Containers is preparing to execute a massive data archiving initiative to purge historical Cases older than seven years from the active Salesforce production org. Which TWO critical architectural considerations must be evaluated before initiating the deletion? (Choose two)

Accepted Answer

Relational cascades and master-detail or lookup field constraints that may cause dependent child records to fail deletion or trigger cascading errors.. Data archiving and deletion operations permanently remove records and their associated relational dependencies from active storage. Architects must analyze child relationship cascades and recycle bin retention periods to avoid accidental data loss and compliance violations. Proper preparation ensures referential integrity remains uncompromised across enterprise systems.

Answer

Immediate automatic archiving of deleted records into a secondary Salesforce sandbox environment via native streaming.

Answer

Immediate release of database storage limits across all connected enterprise data warehouses within milliseconds of deletion.

Answer

Automatic generation of immutable audit logs stored natively within standard Account attachments for compliance reporting.

Question 8

An architect is planning to export 50 million records from a custom object. Which THREE conditions must be met to successfully use PK Chunking with the Bulk API?

Accepted Answer

The SObject type must be supported by PK Chunking.. PK Chunking is a feature used to split large queries into smaller chunks based on the Primary Key (ID) of the records. It is essential for very large data volumes (LDV) where standard queries might time out. It requires support for the specific object and is enabled via a specific header.

Answer

The query must contain a WHERE clause with an indexed field.

Answer

The batch size must be set to exactly 10,000 records.

Question 9

Universal Containers is experiencing slow performance on a specific report that filters by three custom fields on an object with 15 million records. The architect suggests a Skinny Table. Which limitation must the architect consider before implementing this solution?

Accepted Answer

Skinny Tables do not include soft-deleted records (records in the Recycle Bin).. Skinny Tables are a powerful tool for optimizing performance by combining frequently used fields from the standard and custom tables into one. However, they are not a silver bullet. One major limitation is that Skinny Tables cannot contain fields from other objects (no lookups) and are not automatically updated if fields are changed.

Answer

Skinny Tables can only be created for standard objects.

Answer

Skinny Tables must be manually refreshed by an administrator every 24 hours.

Answer

Skinny Tables are only available in Developer and Enterprise editions.

Question 10

A data administrator needs to import 20,000 Lead records and ensure that no duplicate Leads are created based on the Email field. Which TWO tools can perform this import while supporting duplicate checking?

Accepted Answer

Data Import Wizard.. The Data Import Wizard and Data Loader are the two primary tools for importing data. The Data Import Wizard is built into the UI and has native deduplication capabilities for certain standard objects. Data Loader is a desktop tool that can handle larger volumes but requires more manual setup for deduplication.

Answer

Salesforce Connect.

Answer

Change Data Capture.

Answer

Data Loader with Duplicate Rules enabled.

Question 11

Universal Containers is implementing a Master Data Management (MDM) strategy. They want to maintain a 'Golden Record' for each customer in a centralized hub and synchronize it with Salesforce. Which architectural pattern is best suited for this?

Accepted Answer

A centralized MDM Hub using a 'System of Record' approach.. In an MDM strategy, the 'Hub and Spoke' model is common where a central system (the Hub) maintains the master version of the data. Salesforce acts as a 'Spoke' that consumes the Golden Record. This ensures data consistency across the enterprise and prevents disparate systems from creating conflicting data.

Answer

Point-to-Point integration between all systems.

Answer

Peer-to-Peer synchronization where Salesforce is the master.

Answer

Using Salesforce Big Objects to store all external system data.

Question 12

A company needs to implement a data retention strategy for Opportunity records that are older than seven years. Due to regulatory compliance, these records must be archived but remain searchable within the Salesforce environment for occasional audit requests. Which solution best meets this requirement?

Accepted Answer

Archive the Opportunity records into a Big Object using the Async Query API.. Big Objects are designed for massive data storage within Salesforce while maintaining high performance. By utilizing Big Objects, the organization can store millions of historical records without impacting the operational performance of standard objects. This approach ensures compliance with data retention policies while keeping the data accessible via SOQL or customized Lightning components for audit purposes, effectively balancing regulatory needs with platform performance constraints.

Answer

Export records to an external data warehouse using Data Loader and delete them from Salesforce.

Answer

Move records to a custom object and implement Apex-based sharing rules to restrict access.

Answer

Update the Opportunity records to a private state and remove all users from the sharing rules.

Question 13

A Data Architect is designing a strategy to migrate 50 million Account and Contact records into Salesforce. Which TWO strategies should be implemented to ensure optimal performance and data integrity?

Accepted Answer

Disable all automation, including triggers and flows, prior to the data load.. When dealing with massive data migrations, avoiding record locking and minimizing trigger overhead are critical. Using the Bulk API 2.0 with serial mode or properly tuned parallel batches reduces contention. Furthermore, disabling non-essential automation like flows and triggers during the initial load prevents unnecessary processing time and record locking errors, ensuring the load completes within the allocated maintenance window while preserving overall system stability.

Answer

Use the SOAP API for all record inserts to leverage granular error handling.

Answer

Perform the migration during business hours to ensure IT support is available.

Answer

Increase the batch size to the maximum allowed limit for every object type.

Question 14

Refer to the exhibit. An organization uses Platform Encryption for PII. The architect observes that data filtering using the 'Industry' field is not working as expected after enabling encryption. What is the cause of this behavior?

Accepted Answer

The encryption index for the field was not rebuilt after applying the policy.. Deterministic encryption allows for filtering and searching, but it has specific limitations. The exhibit shows a policy configuration that might conflict with standard index capabilities or field-level attributes. In Salesforce, changing an existing field to deterministic encryption often requires a re-indexing process. If the index is not rebuilt or if the field type is incompatible with deterministic encryption, filtering will fail, requiring a manual update to the field's metadata configuration.

Answer

The field must be converted to an Encrypted Text field type before encryption.

Answer

The organization needs to enable 'Searchable' in the encryption policy settings.

Answer

AES-256 encryption is incompatible with SOQL filter operations.

Question 15

A company requires data masking in their Sandbox environments to protect sensitive customer information. Which THREE options are standard Salesforce capabilities or best practices for achieving this?

Accepted Answer

Use the native Salesforce Data Mask managed package for automated obfuscation.. Data masking is critical for security compliance in non-production environments. Salesforce offers native tools and strategic patterns to handle this. By utilizing the Salesforce Data Mask product, developers can automate obfuscation. Additionally, using partial copy sandboxes with specific templates or implementing custom Apex jobs to scramble data ensures that PII is never exposed to developers, maintaining compliance with security mandates while keeping the environment functional for testing.

Answer

Manually export and re-import data using Data Loader to perform masking.

Answer

Change the organization-wide defaults to 'Private' to hide data.

Question 16

Which THREE factors should a Data Architect consider when determining whether to use the Bulk API 2.0 versus the standard SOAP API for a large data integration?

Accepted Answer

The total volume of records being processed in a single transaction.. The choice between Bulk API 2.0 and SOAP API hinges on the volume of data and the specific integration constraints. Bulk API 2.0 is highly optimized for millions of records by handling batching automatically, while SOAP API is better for real-time, lower-volume transactions where immediate confirmation is needed. Evaluating governor limits, total record counts, and the requirement for real-time error handling is essential for choosing the correct architectural pattern for the integration.

Answer

The complexity of the record-level security model applied to the user.

Answer

The requirement to execute Apex triggers and validation rules.

Question 17

A Data Architect is asked to improve the performance of a dashboard that aggregates data from a custom object with 10 million records. Which approach is most appropriate?

Accepted Answer

Implement a summary object that stores daily aggregates of the data.. For high-volume dashboards, pre-aggregating data is the most efficient way to ensure fast rendering. By using a 'summary' object or a reporting snapshot that stores computed aggregates, the dashboard queries a much smaller number of records rather than performing calculations on the fly. This significantly reduces query execution time and prevents the dashboard from timing out, providing a reliable and responsive user experience even with massive underlying datasets.

Answer

Create a formula field to calculate the totals on every record.

Answer

Use a Dynamic Dashboard to force data refresh every hour.

Answer

Enable 'Parallel Report Processing' in the Org settings.

Question 18

Universal Containers needs to migrate 50 million legacy records into a custom object while maintaining original system IDs and audit timestamps. Which data loading approach best satisfies these architectural requirements?

Accepted Answer

Contact Salesforce Support to enable 'Create Audit Fields' feature, then use Bulk API 2.0 with CSV files.. Using Salesforce Bulk API 2.0 with custom date/time fields handles large data volumes efficiently while avoiding platform limitations. Native CreatedDate and SystemModstamp are system-managed fields that cannot be populated directly during standard imports without special enablement, making custom fields necessary for historical tracking. This approach guarantees optimal performance and preserves system integrity during massive data migration initiatives.

Answer

Use the SOAP API with standard field mapping to preserve original system timestamps and IDs directly.

Answer

Deploy a custom Apex batch process to insert records synchronously in chunks of 2,000 to manage governor limits.

Answer

Utilize Salesforce Data Loader with the serial execution mode to guarantee sequential record processing and prevent locks.

Question 19

Universal Containers experiences frequent 'UNABLE_TO_LOCK_ROW' errors during a nightly data load that updates Account and Opportunity records concurrently. Which TWO architectural strategies should a Data Architect implement to mitigate record locking? (Choose TWO)

Accepted Answer

Modify custom roll-up summary fields and triggers to execute asynchronously or utilize delayed calculation patterns.. Record locking in Salesforce typically occurs when multiple threads attempt to update parent or sibling records simultaneously, such as rolling up values to a parent Account. Reordering the load to process child objects before parents or disabling unnecessary Master-Detail relationships temporarily can significantly reduce contention. Furthermore, optimizing custom triggers and utilizing optimized batch sizes helps maintain transactional isolation and prevents database deadlocks during high-volume operations.

Answer

Sort the CSV input file by parent Account ID so child opportunities referencing the same account are processed in sequential batches.

Answer

Restructure asynchronous processing to utilize serial mode for all high-volume data loads affecting shared parent records.

Answer

Increase the batch size in Data Loader to the maximum allowable limit of 10,000 records to minimize transaction overhead.

Answer

Enable Parallel Processing mode in Bulk API to ensure threads process independent parent hierarchies simultaneously without cross-thread conflicts.

Question 20

Refer to the exhibit. A developer is running a large batch Apex job that updates Account records and their associated Contacts simultaneously. The job frequently fails with the provided error. What is the most effective data management strategy to resolve this locking issue?

Accepted Answer

Implement a retry mechanism using the Database.SaveResult object.. The UNABLE_TO_LOCK_ROW error occurs due to row-level contention, often caused by parent-child record updates happening in parallel threads. By sorting records in the batch scope by ParentId before processing, the architect ensures that all children for a specific account are processed together in the same thread. This minimizes the frequency of multiple threads requesting an exclusive lock on the same parent record simultaneously, thereby significantly reducing contention.

Answer

Increase the batch size to process more records per transaction.

Answer

Convert the batch Apex to a synchronous process to avoid contention.

Answer

Disable all Validation Rules and Triggers during the batch process.