Salesforce-Platform-Data-Architect Practice Test
Updated On 18-Sep-2025
257 Questions
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled. What should a data architect recommend to ensure data quality is maintained in salesforce.
A.
Activate validation rules once the leads are loaded into salesforce to maintain quality.
B.
Allow validation rules to be activated during the load of leads into salesforce.
C.
Develop custom APEX batch process to improve quality once the load is completed.
D.
Ensure the lead data is preprocessed for quality before loading into salesforce.
Ensure the lead data is preprocessed for quality before loading into salesforce.
Explanation:
Data quality should always be enforced proactively, especially when bulk loading data with validation rules disabled temporarily to facilitate efficient loading. Preprocessing lead data externally ensures completeness, consistency, and correctness before Salesforce import, significantly reducing post-import issues. Activating validation rules after loading (option A) or during loading (option B) could cause load failures or complexity. Custom Apex post-load cleanup (option C) introduces unnecessary complexity and overhead. Preprocessing data quality externally is the simplest, most efficient method, providing robust data quality assurance before Salesforce insertion, aligning with Salesforce best practices for high-volume data loading.
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?
A.
Use Duplicate Management.
B.
Use an Enterprise Service Bus.
C.
Use Data.com Clean
D.
Use a data wharehouse.
Use Duplicate Management.
C.
Use Data.com Clean
Explanation:
A (Use Duplicate Management) leverages Salesforce's built-in tools, such as Matching Rules and Duplicate Rules, to identify, prevent, and manage duplicate records proactively.
C (Use Data.com Clean) provides ongoing data enrichment and cleansing services, automatically identifying and eliminating duplicates and ensuring high-quality data.
Enterprise Service Bus (option B) facilitates integration but doesn't inherently address duplicate management. Data warehouses (option D) focus on reporting and analytics, not real-time duplication prevention. Native Duplicate Management and Data.com Clean tools provide automated, proactive, and robust data quality controls, directly resolving duplicate issues.
NTO has 1 million customer records spanning 25 years. As part of its new SF project, NTO would like to create a master data management strategy to help preserve the history and relevance of its customer data. Which 3 activities will be required to identify a successful master data management
strategy? Choose 3 answers:
A.
Identify data to be replicated
B.
Create a data archive strategy
C.
Define the systems of record for critical data
D.
Install a data warehouse
E.
Choose a Business Intelligence tool.
Identify data to be replicated
B.
Create a data archive strategy
C.
Define the systems of record for critical data
Explanation:
A (Identify data to be replicated) clarifies what data needs synchronization across systems.
B (Create a data archive strategy) maintains performance by removing historical data from operational systems while preserving necessary historical insights.
C (Define systems of record) clearly establishes authoritative sources of data, preventing inconsistencies and duplication across systems.
Installing a data warehouse (option D) and choosing a BI tool (option E) are supportive of analytical purposes but don't directly address foundational MDM considerations. Effective MDM strategies focus on replication clarity, archive management, and clearly defined authoritative sources, exactly aligning with options A, B, and C.
Universal Containers (UC) is implementing a Salesforce project with large volumes of data and daily transactions. The solution includes both real-time web service integrations and Visualforce mash -ups with back -end systems. The Salesforce Full sandbox used by the project integrates with full-scale back -end testing systems. What two types of performance testing are appropriate for this project? Choose 2 answers
A.
Pre -go -live automated page -load testing against the Salesforce Full sandbox.
B.
Post go -live automated page -load testing against the Salesforce Production org.
C.
Pre -go -live unit testing in the Salesforce Full sandbox.
D.
Stress testing against the web services hosted by the integration middleware.
Pre -go -live automated page -load testing against the Salesforce Full sandbox.
D.
Stress testing against the web services hosted by the integration middleware.
Explanation:
A (Pre-go-live automated page-load testing) ensures that Visualforce mashups and Salesforce UI pages perform efficiently before launching to production.
D (Stress testing against web services) validates system robustness under real-world load scenarios for middleware and integrations.
Unit testing (option C) ensures logic correctness but doesn't evaluate actual performance under real conditions. Post go-live testing (option B) risks identifying performance issues after users have already experienced negative impacts. Pre-go-live automated page-load tests and middleware stress tests proactively ensure systems perform under realistic conditions, making these the appropriate types of performance tests.
The head of sales at Get Cloudy Consulting wants to understand key relevant performance figures and help managers take corrective actions where appropriate. What is one reporting option Get Cloudy Consulting should consider?
A.
Case SLA performance report
B.
Sales KPI Dashboard
C.
Opportunity analytic snapshot
D.
Lead conversion rate report
Sales KPI Dashboard
Explanation:
A Sales KPI Dashboard provides actionable insights into critical sales performance indicators, enabling sales leaders and managers to quickly assess performance and take immediate corrective actions. Dashboards clearly display essential metrics—such as sales pipeline health, conversion rates, win/loss ratios, and forecast accuracy—helping management pinpoint issues promptly. While other options provide valuable metrics, such as SLA performance (option A), opportunity analytics snapshots (option C), and lead conversion rates (option D), a Sales KPI dashboard consolidates multiple relevant metrics into a coherent, visually effective, and actionable format. Dashboards are the best option for quick, strategic insights and targeted managerial intervention.
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