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Salesforce Certified Platform Data Architect Sample Questions:

1. UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF. UC is concerned about SF storage limits but would still like Sales cloud to have access to the data. Which design patterns should a data architect select to satisfy the requirement?

A) Use SF Connect to virtualize the data in SF and avoid storage limits.
B) Develop a bidirectional integration between the on-premise system and Salesforce.
C) Build a UI for the on-premise system and iframe it in Salesforce
D) Migrate and persist the data in SF to take advantage of native functionality.

2. Which three characteristics of a skinny table help improve report and query performance?

A) Skinny tables can be used to create custom indexes on multi-select picklist fields.
B) Skinny tables do not include records that are available in the recycle bin.
C) Skinny tables provide a view across multiple objects for easy access to combined data.
D) Skinny tables can contain frequently used fields and thereby help avoid joins.
E) Skinny tables are kept in sync with changes to data in the source tables.

3. Northern Trail Outfitters needs to implement an archive solution for Salesforce data. This archive solution needs to help NTO do the following:
1. Remove outdated Information not required on a day-to-day basis.
2. Improve Salesforce performance.
Which solution should be used to meet these requirements?

A) Use a formula field that shows true when a record reaches a defined age and use that field to run a report and export a report into SharePoint.
B) Identify a location to store archived data, and move data to the location using a time-based workflow.
C) Create a full copy sandbox, and use it as a source for retaining archived data.
D) Identify a location to store archived data and use scheduled batch jobs to migrate and purge the aged data on a nightly basis,

4. Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A) Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.
B) Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.
C) Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.
D) Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.

5. Universal Container has a Sales Cloud implementation for a sales team and an enterprise resource planning (ERP) as a customer master Sales team are complaining about duplicate account and data quality issues with account data. Which two solutions should a data architect recommend to resolve the complaints?

A) Implement a de-dupe solution and establish account ownership in Salesforce
B) Build a nightly batch job to de-dupe data, and merge account records.
C) Build a nightly sync job from ERP to Salesforce.
D) Integrate Salesforce with ERP, and make ERP as system of truth.

Solutions: