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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Architect |
| Exam Number: | Data-Architect |
| Exam Format: | Multiple-select, Multiple-choice |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified System Architect Salesforce Certified Application Architect |
| Exam Price: | USD 400 |
| Exam Duration: | 120 minutes |
| Passing Score: | ~68% |
| Sample Questions: | Salesforce Data-Architect Sample Questions |
| Exam Way: | Online proctored or onsite at a testing center |
| Pre Condition: | None |
| Official Syllabus URL: | https://www.salesforce.com/certifications/architect/data-architect/ |
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NEW QUESTION # 236
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?
Answer: B
Explanation:
Ordering batches by Auto-number field will ensure that the records are processed in a sequential order and avoid any locking issues that might occur when loading related records in parallel mode. Creating indexes, grouping batches by AccountId, or sorting batches by Name field values are not necessary or beneficial for loading Opportunity records using the Bulk API.
NEW QUESTION # 237
Universals Containers' system administrators have been complaining that they are not able to make changes to its users' record, including moving them to new territories without getting "unable to lock row" errors. This is causing the system admins to spend hours updating user records every day.
What should the data architect do to prevent the error?
Answer: B
Explanation:
Enabling granular locking (option B) is the best option to prevent the error, as it allows finer control over how records are locked during automated or manual processes, and reduces the chances of lock contention or deadlock. Reducing number of users updated concurrently (option A) is not a good option, as it may limit the productivity and efficiency of the system admins, and it does not address the root cause of the error.
Analyzing Splunk query to spot offending records (option C) is also not a good option, as it may require more time and effort, and it does not provide a permanent solution for the error. Increasing CPU for the Salesforce org (option D) is also not a good option, as it may introduce additional cost and complexity, and it does not solve the root cause of the error.
NEW QUESTION # 238
Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level. What is the recommended solution to address these requirements?
Answer: A
Explanation:
The recommended solution to address the requirements of Universal Containers (UC) is to roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level. This solution would allow UC to show all sums of discounts across line items at an opportunity level using standard roll-up summary fields. Since UC has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request object, they can use two levels of roll-up summary fields to aggregate the discount amounts from the child objects to the parent objects. For example, they can create a roll-up summary field on the custom line item object to sum up the discount request amounts from the custom discount request object. Then, they can create another roll-up summary field on the opportunity object to sum up the line-item-level summary discounts from the custom line item object.
NEW QUESTION # 239
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:
Answer: A,D
Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.
NEW QUESTION # 240
A Salesforce customer has plenty of data storage. Sales Reps are complaining that searches are bringing back old records that aren't relevant any longer. Sales Managers need the data for their historical reporting.What strategy should a data architect use to ensure a better user experience for the Sales Reps?
Answer: B
NEW QUESTION # 241
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