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Salesforce Certified Platform Data Architect Sample Questions:

1. UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality. Which 2 solutions should a data architect recommend to monitor and measure data quality? Choose 2 answer

A) Review data quality reports and dashboards.
B) Export data and check for data completeness outside of Salesforce.
C) Install and run data quality analysis dashboard app
D) Use custom objects and fields to identify issues.

2. UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application. Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answer

A) Assign 10000 opportunities to one account.
B) Limit assigning one user 10000 records ownership.
C) Limit associating 10000 opportunities to one account.
D) Limit associating 10000 records looking up to same records.
E) Use picklist fields rather than lookup to custom object.

3. Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision- making. On analysis, the team the following issues with data entered in Salesforce.
- Information in certain records is incomplete.
- Incorrect entry in certain fields causes records to be excluded in
report fitters.
- Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?

A) Explore third-party data providers to enrich and augment information entered in salesforce.
B) Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
C) Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
D) design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
E) Periodically export data to cleanse data and import them back into Salesforce for executive reports.

4. Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout. What is the fastest and most effective way for a data architect to solve the time-out issue?

A) Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.
B) Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
C) Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
D) Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.

5. NTO need to extract 50 million records from a custom object everyday from its Salesforce org.
NTO is facing query timeout issues while extracting these records. What should a data architect recommend in order to get around the time out issue?

A) Use ETL tool for extraction of records.
B) The REST API to extract data as it automatically chunks records by 200.
C) Ask SF support to increase the query timeout value.
D) Use a custom auto number and formula field and use that to chunk records while extracting data.

Solutions: