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Exam Code: | Data-Architect |
Exam Name: | Salesforce Certified Data Architect |
Certification Provider: | Salesforce |
Free Question Number: | 117 |
Version: | v2023-12-12 |
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No.# C Assign record owners based on relationship.
In Salesforce, every record must have an owner. The owner can be a user or a queue. When migrating data from a legacy CRM to Salesforce, it’s important to maintain the relationships between records. Therefore, assigning record owners based on the relationships identified in the look-up table from the legacy CRM system would be the most appropriate approach.
A. Create custom object to store agent relationships: While creating a custom object to store agent relationships is possible, it’s not necessary. Salesforce has standard objects that can handle relationships, and it’s generally best to use these whenever possible. Furthermore, this option does not address the issue of record ownership.
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No.# Could be A / B
A Skinny table is correct but it depends on the number of records. I assume this means >1m if Skinny table is recommended.
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No.# C is incorrect. ONE Account record and MANY Contact records will cause Data Skew. Initially, I thought this was an alternative to Person Accounts until you realise it is 1:N.
A - Incorrect: Standard Objects can be used
B - Incorrect: This is B2C not B2B
D - Correct: By process of elimination. I think it means "load one account and contact for each consumer"
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No.# B - Service Cloud Lincece
Reason: The question mentions cases
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No.# AB ....
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No.# I couldn't find anywhere that CRM Analytics reports are faster.
D looks like #8 here so maybe the solution is that some user will run reports until they don't time-out and others will view them https://developer.salesforce.com/docs/atlas.en-us.salesforce_reportperformance_cheatsheet.meta/salesforce_reportperformance_cheatsheet/reportperformance_cheatsheet.htm
No.# https://developer.salesforce.com/docs/atlas.en-us.draes.meta/draes/draes_group_membership_data_skew.htm
"role at the top of the hierarchy" so C
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No.# A & B are correct because the data must be aggregated and saved as records of custom object, and this can happen using batch apex or snapshots https://help.salesforce.com/s/articleView?id=sf.data_about_analytic_snap.htm&type=5
Data Loader won't aggregate the data (you will do it on excel each time) and with the export and import it's a lot of work
Salesforce Archiving feature doesn't exist (except for activities - Task and Event)
No.# A is what you would do before C was added.
"steps" suggests another thing should be combined with C:
B states the obvious
D means tons of queries (so no)
No.# Sky, why 2? https://help.salesforce.com/s/articleView?id=sf.xorg_subscriber_provider.htm&type=5 even each license gives 5 https://help.salesforce.com/s/articleView?id=sf.platform_connect_license.htm&type=5
And how would you maintain the datastore, synced on real-time?
No.# E was correct at the time of this question but on Spring '24 they changed it to 200
C is incorrect
No.# A and C are manual, but isn't D also? it's unclear. And it's already on the CRM's database, why store it on a staging database?
Of course B is the right answer
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No.# B is also correct https://developer.salesforce.com/docs/atlas.en-us.salesforce_large_data_volumes_bp.meta/salesforce_large_data_volumes_bp/ldv_deployments_infrastructure_divisions.htm
I don't know if you can create a few skinny tables for 1 object, but even if you can it will be hard to handle. plus, maybe fields aren't supported so it probably can't solve this
No.# D is correct because a custom address field can't be required, and even if it is on the page layout the state isn't (because most countries don't have values for the dependent picklist State). And CONTAINS is used instead of 9 (default) ISPICKVAL: TEXT(Home__CountryCode__s) != '' && TEXT(Home__StateCode__s) = '' && CONTAINS('AU,BR,CA,CN,IE,IN,IT,MX,US', TEXT(Home__CountryCode__s))