SF-Data-Arch Practice Test 1 — 10 Questions

Question 1

A data architect is migrating 50 million records into a custom object. To ensure optimal performance and avoid hitting governor limits, which strategy should be implemented during the initial data load?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Leverage Bulk API 2.0 and disable non-essential automation, triggers, and validation rules.. Utilizing the Bulk API 2.0 with serial mode for initial loads minimizes contention on shared resources and prevents record locking errors during high-volume inserts. Designing around index selectivity and disabling unnecessary automation like workflow rules or triggers before loading is crucial for performance. This approach ensures data integrity while drastically reducing the time required to complete the migration compared to standard synchronous API methods.

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Enable all existing triggers and validation rules to ensure data quality immediately upon insertion.

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Use the SOAP API to perform synchronous inserts for real-time validation feedback.

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Increase the batch size to the maximum allowed limit for standard REST API calls.

Question 2

An architect is designing a governance framework for Master Data Management (MDM). Which approach is best for ensuring 'Golden Record' consistency in Salesforce?

Accepted Answer

Implementing an external MDM hub.. A Master Data Management strategy requires a 'Source of Truth' identification. By defining which system holds the primary record and using integration middleware to synchronize these records, the architect creates a consistent 'Golden Record'. This prevents data fragmentation where different systems maintain conflicting versions of the same customer, which is the core challenge MDM aims to solve.

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Using Duplicate Rules to merge records.

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Creating custom formula fields.

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Enabling Person Accounts for all users.

Question 3

Which design approach is best for handling a 'Data Warehouse' requirement within Salesforce when dealing with millions of records?

Accepted Answer

Implement Big Objects for high-volume storage.. For high-volume data, architects should utilize Big Objects or External Objects to prevent hitting platform storage limits and performance degradation. Big Objects are specifically designed to store and query massive amounts of data efficiently. This strategy is vital for data management, as it keeps the core CRM performance high while still maintaining accessibility to historical archives needed for operational reporting or compliance purposes.

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Use standard objects and archive periodically.

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Store all data in a single custom object.

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Use a custom field to store external reference IDs.

Question 4

A company is experiencing slow performance on reports that join multiple objects with millions of records. What architectural change should the Data Architect propose first to improve report performance?

Accepted Answer

Request custom indexes for the fields used in report filters.. Indexing is the most fundamental way to improve database performance for filtering and joining large datasets. In Salesforce, ensuring that fields used in report filters and custom indexes are properly configured is the first step. If standard indexing is insufficient, the architect may consider custom indexes or denormalizing the data model. This approach is far less intrusive and more cost-effective than re-architecting the entire data model or moving data to an external warehouse.

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Switch to an external reporting tool like Tableau or Power BI.

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Force all users to use the Reporting Snapshot feature instead of live reports.

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Convert all report types to be 'Joined Reports' to reduce data loads.

Question 5

Refer to the exhibit. An architect needs to track changes to the 'Status__c' field for auditing purposes. Based on the configuration provided, what is the best way to report on the duration a record spent in each status?

Accepted Answer

Create a custom object to store status change logs with entry and exit timestamps.. Standard Field History Tracking records changes but does not store the duration between states effectively for analytics. Creating a secondary 'Audit' object that captures snapshots of status changes via a record-triggered flow is the best approach. This allows the architect to calculate intervals between timestamps using reporting tools or custom formulas, providing the necessary visibility into business process bottlenecks that native history tables cannot easily compute.

Answer

Use the built-in Field History report type.

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Enable 'Custom History Tracking' in the Setup menu.

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Use a formula field to calculate the duration.

Question 6

A global organization uses Salesforce as its CRM and SAP as its ERP. They need to ensure that customer data remains consistent across both systems. Which approach best supports a Master Data Management strategy for this landscape?

Accepted Answer

Implement a centralized MDM hub to mediate data exchanges and manage the golden record.. Establishing a centralized hub or golden record strategy is critical for large enterprises. By defining a source of truth for specific data attributes and orchestrating updates through an integration layer, organizations prevent data drift. This approach ensures that downstream systems consume validated, reliable data, which is essential for maintaining compliance, improving reporting accuracy, and providing a unified customer experience across disparate business units and global regions.

Answer

Perform nightly batch updates from Salesforce to SAP using flat files.

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Allow bi-directional synchronization between Salesforce and SAP without a mediation layer.

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Migrate all customer data from SAP into Salesforce to eliminate the need for an external hub.

Question 7

An enterprise architect is evaluating data storage strategies for a telecommunications client experiencing rapid data growth of fifty million call detail records annually. Which TWO strategies should the architect implement to maintain database query performance and platform data limits? Choose 2 answers.

Accepted Answer

Utilize Salesforce Big Objects to store historical call records asynchronously and index primary lookup keys.. When dealing with massive data volumes exceeding standard transactional limits, traditional custom objects will quickly degrade platform performance and storage capacity. Offloading historical analytical data to Salesforce Big Objects or external systems via Salesforce Connect preserves core transactional limits. Additionally, implementing strict data archiving strategies prevents data skew and maintains query optimization.

Answer

Store the call detail records in standard custom objects with indexes applied to all foreign keys.

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Create hierarchical custom object structures linking every call record directly to the Account master object.

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Rely on standard Salesforce report archives to automatically move historical records out of reporting tables.

Question 8

Which of the following is a classic symptom of poor Master Data Management in a Salesforce ecosystem?

Accepted Answer

Sales and Marketing teams having conflicting views of the same customer.. Fragmented data silos often result in the same customer existing as multiple records across different systems (e.g., Salesforce, SAP, and Marketing Cloud). This leads to poor customer service, conflicting marketing messages, and inaccurate financial reporting. Identifying these symptoms is critical for a Data Architect to justify the investment in an MDM solution, as these issues directly impact the bottom line through operational inefficiency and missed sales opportunities.

Answer

Salesforce users reporting that their dashboards load slowly.

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Excessive use of Apex triggers that cause governor limit exceptions.

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Users forgetting their passwords frequently, requiring support tickets.

Question 9

A company requires a data model to track 'Training Sessions' (which have many attendees) and 'Employees' (who attend many sessions). Which relationship is required to model this correctly?

Accepted Answer

A junction object with two Master-Detail relationships.. A many-to-many relationship is required to associate multiple Employees with multiple Training Sessions. This is implemented via a junction object. This pattern is fundamental in relational database design, as it resolves circular dependencies and allows for granular tracking of attendance, grades, or completion status per individual pairing, which cannot be achieved using simple lookups or single-parent structures on the employee or session records.

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A Lookup relationship from Employee to Training Session.

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A Master-Detail relationship on the Employee object.

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A multi-select picklist on the Employee object.

Question 10

You are auditing a Salesforce environment and discover a custom object with 20 million records. Users report that searching for records by a custom field 'External_ID__c' is extremely slow. What is the most appropriate action to take?

Accepted Answer

Mark the field as an External ID to trigger an automatic index.. When an object has large data volumes, non-indexed fields cause full table scans, which are highly inefficient and slow. By marking the 'External_ID__c' field as an External ID or unique field, Salesforce automatically creates a database index. This allows the query engine to perform a targeted lookup rather than scanning all 20 million records, providing an immediate and significant performance improvement for queries and searches involving that specific field.

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Create a custom report type to better filter the data.

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Increase the batch size of the user's list view.

Answer

Convert the custom object into a Big Object.