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| Section | Objectives |
|---|---|
| Topic 1: Data Integration | - API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies |
| Topic 2: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 3: Data Architecture and Design | - Conceptual and logical data modeling - Handling large data volume and scalability considerations - Data modeling best practices in Salesforce |
| Topic 4: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Standard and custom objects - Reporting and analytics considerations |
| Topic 5: Data Management | - Master data management (MDM) concepts - Data quality management - Data governance principles |
1. NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation? Choose 3 answer
A) Identify the external tables to sync into external objects
B) Assess whether the external data source is reachable via an ODATA endpoint.
C) Configure a middleware tool to poll external table data
D) Develop an object relationship strategy.
E) Create a 2nd system Admin user for authentication to the external source.
2. Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
- NTO has a total of five million customers.
- Duplicate records exist, which is replicated across many systems,
including Salesforce.
- Given these conditions, there is a lack of consistent presentation
and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
A) Create a unique global customer ID for each customer and store that in all system for referential identity.
B) Duplicate customer records across the system and provide a two-way sync of data between the systems.
C) Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
D) Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.
E) Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
3. UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled. What should a data architect recommend to ensure data quality is maintained in salesforce.
A) Activate validation rules once the leads are loaded into salesforce to maintain quality.
B) Allow validation rules to be activated during the load of leads into salesforce.
C) Ensure the lead data is preprocessed for quality before loading into salesforce.
D) Develop custom APEX batch process to improve quality once the load is completed.
4. UC has a classic encryption for Custom fields and is leveraging weekly data reports for data backups. During the data validation of exported data UC discovered that encrypted field values are still being exported as part of data exported. What should a data architect recommend to make sure decrypted values are exported during data export?
A) Set up a custom profile for data migration user and assign view encrypted data.
B) Leverage Apex class to decrypt data before exporting it.
C) Set a standard profile for Data Migration user, and assign view encrypted data
D) Create another field to copy data from encrypted field and use this field in export
5. To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?
A) Errors with records being updated and inserted in the same CSV file.
B) Errors when a duplicate Contact name is found cause upsert to fail.
C) Errors with using the wrong external Id will cause the load to fail.
D) Errors with duplicate external Id values within the same CSV file.
Solutions:
| Question # 1 Answer: A,B,D | Question # 2 Answer: A,C,E | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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