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Ron Young Ron Young

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Data-Architect Testing Engine, Data-Architect Deutsch

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Salesforce Certified Data Architect Data-Architect Prüfungsfragen mit Lösungen (Q173-Q178):

173. Frage
Universal Containers (UC) management has identified a total of ten text fields on the Contact object as important to capture any changes made to these fields, such as who made the change, when they made the change, what is the old value, and what is the new value. UC needs to be able to report on these field data changes within Salesforce for the past 3 months. What are two approaches that will meet this requirement? Choose 2 answers

A. Turn on field Contact object history tracking for these ten fields, then create reports on contact history.
B. Write an Apex trigger on Contact after insert event and after update events and store the old values in another custom object.
C. Create a workflow to evaluate the rule when a record is created and use field update actions to store previous values for these ten fields in ten new fields.
D. Create a Contact report including these ten fields and Salesforce Id, then schedule the report to run once a day and send email to the admin.

Antwort: A,B

174. Frage
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error.
Which solution should a data architect recommend to resolve the error?

A. Defer rollup summary field calculation during data migration.
B. Perform a batch job in serial mode and reduce the batch size.
C. Leverage Data Loader's platform API to load data.
D. Perform a batch job in parallel mode and reduce the batch size.

Antwort: B

175. Frage
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?

A. Create a Permission Set to hide old data from Sales Reps.
B. Set data access to Private to hide old data from Sales Reps.
C. Use Batch Apex to archive old data on a rolling nightly basis.
D. Archive and purge old data from Salesforce on a monthly basis.

Antwort: D

176. Frage
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?

A. Modify the export job header to specify Sforce-Enable-PKChunking.
B. Modify the export query that includes standard index fields(s).
C. Modify the export query with LIMIT clause with Batch size 10,000.
D. Modify the export job header to specify Export-in-Parallel.

Antwort: A

Begründung:
The Sforce-Enable-PKChunking header enables you to extract large data sets from Salesforce by using a technique called primary key (PK) chunking. PK chunking splits your query into multiple queries based on the record IDs of the queried object. This reduces the query time and avoids the query timeout issues that can occur with large data volumes

177. Frage
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

A. A backup and archive solution that extracts and restores data across orgs.
B. Develop custom APIs to poll the spoke for change data and push into the org.
C. A middleware solution that extracts and distributes data across both the hub and spokes.
D. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.

Antwort: C

Begründung:
According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs. The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
To orchestrate data between the hub org and spoke orgs, a data architect should use:
A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.

178. Frage
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Ron Young Ron Young

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