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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Data Integration	15%	- API-based integration (REST, SOAP, Bulk API) - Real-time vs batch integration patterns - ETL tools and data migration strategies - Sharing rules impact on data integration - Handling locks and parallelism during migration
Master Data Management	20%	- Data duplication and matching rules - Identity resolution - Data cleansing techniques
Data Modeling	25%	- Big Objects and external objects - Normalization and denormalization strategies - Large Data Volumes (LDV) design considerations - Skinny tables for performance optimization - Indexing strategies
Data Architecture	20%	- Architecture patterns and design principles - Archiving and data lifecycle management - Governor limits and bulk processing - Performance tuning and optimization
Data Governance	20%	- Compliance and regulatory considerations - Data stewardship roles and responsibilities - Data quality standards and metrics - Data retention and archiving policies

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Salesforce Certified Data Architect Data-Architect Prüfungsfragen mit Lösungen (Q116-Q121):

116. Frage
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1.The MDM solution keeps track of customer master with a master key.
2.The master key is a map to the record ID's from each external system that customer data is stored within.
3.The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

A. Create a custom object to store the master key with a lookup field to contact.
B. Store the master key in Heroku postgres and use Heroku connect for synchronization.
C. Create an external object to store the master key with a lookup field to contact.
D. Store the master key on the contact object as an external ID (Field for referential imports)

Antwort: D

Begründung:
The best way to implement the storage of master key within Salesforce is to store it on the contact object as an external ID field for referential imports. This way, the data architect can use the master key as a unique identifier to match records from different systems and avoid duplicates. The other options are not feasible because they either require additional storage or do not support referential imports.

117. Frage
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1. The MDM solution keeps track of customer master with a master key.
2. The master key is a map to the record ID's from each external system that customer data is stored within.
3. The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

A. Create a custom object to store the master key with a lookup field to contact.
B. Store the master key in Heroku postgres and use Heroku connect for synchronization.
C. Create an external object to store the master key with a lookup field to contact.
D. Store the master key on the contact object as an external ID (Field for referential imports)

Antwort: D

118. Frage
DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)

A. Use validation rules on new record create and edit.
B. Use the private sharing model.
C. Use workflow to delete duplicate records.
D. Use Salesforce duplicate management.

Antwort: A,D

Begründung:
Using Salesforce duplicate management and using validation rules on new record create and edit are two things that an architect should consider using to maintain data quality for managing Contacts. Salesforce duplicate management allows the architect to create matching rules and duplicate rules to identify, prevent, or allow duplicate records based on various criteria. Validation rules allow the architect to enforce data quality standards and business logic by displaying error messages when users try to save invalid data. The other options are not relevant or helpful for maintaining data quality

119. Frage
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers.
What solution should a data architect recommend to meet the business requirement?

A. Archive records to a data warehouse and run analytics on the data warehouse.
B. Leverage big objects to archive records and Einstein Analytics to run reports.
C. Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.
D. Leverage custom objects to store aggregate data and run analytics.

Antwort: B

120. Frage
A customer needs a sales model that allows the following:
Opportunities need to be assigned to sales people based on the zip code.
Each sales person can be assigned to multiple zip codes.
Each zip code is assigned to a sales area definition. Sales is aggregated by sales area for reporting.
What should a data architect recommend?

A. Assign opportunities using list views using zip code.
B. Configure territory management feature to support opportunity assignment.
C. Add custom fields in opportunities for zip code and use assignment rules.
D. Allow sales users to manually assign opportunity ownership based on zip code.

Antwort: B

121. Frage
......

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