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Salesforce Certified Platform Data Architect Sample Questions:

1. DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights. What are two approaches an Architect should recommend? (Choose two.)

A) Setup Audit Trails
B) Einstein Analytics
C) Weekly Snapshots
D) AppExchange Apps

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

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

4. NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over past
5 years. Internal users are complaining abt multiple data issues, including incomplete and duplicate data in the org. NTO has decided to engage a data architect to analyze and define data quality standards. Which 3 key factors should a data architect consider while defining data quality standards? Choose 3 Answer

A) Define key fields in staging database for data cleansing
B) Measure data completeness and accuracy
C) Finalize an extract transform load (ETL) tool for data migration
D) Measure data timeliness and consistency
E) Define data duplication standards and rules

5. DreamHouse Realty has an integration that creates records in a Salesforce Custom Object. The Custom Object has a field marked as required on the page layout. DreamHouse Realty has noticed that many of the records coming from the external system are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source system.
Which two approaches should the Architect take? Choose 2 answer

A) Create a Workflow to default a value into this field.
B) Set up a Validation Rule to prevent blank values.
C) Blame the customer's external system for bad data.
D) Mark the field required in setup at the field level.

Solutions: