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Salesforce Data-Architect PDF - Data-Architect在線題庫
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最新的 Salesforce Application Architect Data-Architect 免費考試真題 (Q195-Q200):
問題 #195
Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting reports in the Salesforce org.
Which solution should a data architect recommend to improve reporting performance?
- A. Move data off of the platform and run reporting outside Salesforce, and give access to reports.
- B. Create a custom object to store aggregate data and run reports.
- C. Contact Salesforce support to enable skinny table for cases.
- D. Build reports using custom Lightning components.
答案:A
問題 #196
A customer is facing locking issued when importing large data volumes of order records that are children in a master-detail relationship with the Account object. What is the recommended way to avoid locking issues during import?
- A. Import Account records first followed by order records after sorting order by OrderID.
- B. Import Order records and Account records separately and populate AccountID in orders using batch Apex.
- C. Import Account records first followed by order records after sorting orders by AccountID.
- D. Change the relationship to Lookup and update the relationship to master-detail after import.
答案:C
問題 #197
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)
- A. Acquire an AppExchange Lead de-duplication application.
- B. Create a Workflow Rule to check for duplicate records.
- C. Implement Salesforce Matching and Duplicate Rules.
- D. Run the Salesforce Lead Mass de-duplication tool.
答案:A,C
解題說明:
Acquiring an AppExchange Lead de-duplication application and implementing Salesforce Matching and Duplicate Rules are two approaches that the manager at Cloud Kicks should take to avoid creating duplicate records when importing Leads into Salesforce. An AppExchange Lead de-duplication application can provide additional features and functionality for finding and preventing duplicate Leads during import, such as fuzzy matching, custom rules, mass merge, etc. Salesforce Matching and Duplicate Rules can allow the manager to define how Salesforce identifies duplicate Leads based on various criteria and how users can handle them during import, such as blocking, allowing, or alerting them. The other options are not feasible or effective for avoiding duplicate records, as they would either not work during import, not provide de-duplication capabilities, or require additional customization.
問題 #198
UC is having issues using Informatica Cloud Louder to export +10MOrder records. Each Order record has 10 Order Line Items. What two steps can you take to help correct this? Choose two answers.
- A. Export Bulk API in parallel mode
- B. Use PK Chunking
- C. Export in multiple batches
- D. Limit Batch to 10K records
答案:B,C
解題說明:
Exporting in multiple batches and using PK Chunking are two steps that can help correct the issues with exporting large volumes of Order records using Informatica Cloud Loader. Exporting in multiple batches can reduce the load on the system and avoid timeouts or errors. Using PK Chunking can split a large data set into smaller chunks based on the record IDs and enable parallel processing of each chunk.
問題 #199
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan?
Choose 2 answers
- A. Store all data in an external system and set up an integration to Salesforce for view -only access.
- B. Use Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes.
- C. Schedule reports that will automatically catch duplicates and merge or delete the records every week.
- D. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
答案:B,D
解題說明:
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce
問題 #200
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