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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Modeling and Database Design	25%	- Design scalable data models 1. Object relationships and cardinality 2. Custom and standard object design 3. Data model optimization for performance - Indexing and data structure 1. Standard and custom indexes 2. Skinny tables and big objects 3. Query optimization strategies
Topic 2: Salesforce Data Management	25%	- Sharing and visibility design 1. Sharing rules, manual sharing, Apex sharing 2. Organization-wide defaults, role hierarchy 3. Data access and security model - Data import and export strategies 1. Migration planning and execution 2. Data validation and cleansing 3. Tools: Data Loader, Import Wizard, Bulk API
Topic 3: Data Integration and Master Data Management	10%	- Master data management 1. MDM strategy and implementation 2. Data synchronization and consistency 3. Single source of truth design - Integration patterns and tools 1. External data sources and objects 2. Real-time vs batch integration 3. REST, SOAP, and Bulk API usage
Topic 4: Data Governance and Compliance	20%	- Data lifecycle management 1. Data privacy and security 2. Data retention and archiving policies 3. Data classification and handling - Data governance framework 1. Data quality standards 2. Compliance and regulatory requirements 3. Data stewardship and ownership
Topic 5: Large Data Volume Considerations	20%	- Storage and optimization 1. Storage limits and management 2. Performance tuning techniques 3. Archiving and off-platform storage - Performance and scalability 1. Governor limits and bulk processing 2. Avoiding and resolving data skew 3. Handling millions of records

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Salesforce Certified Data Architect Sample Questions (Q122-Q127):

NEW QUESTION # 122
Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

A. Create a "before delete" trigger to check if the current user is not the owner.
B. Create a validation rule on the Contact object to check if the current user is not the owner.
C. Set the profile of the users to remove delete permission from the Contact object.
D. Set the Sharing settings as Public Read Only for the Contact object.

Answer: A

Explanation:
To allow only the owner of a contact record to delete that contact, the data architect should create a "before delete" trigger to check if the current user is not the owner. The trigger can use the UserInfo.getUserId() method to get the current user's ID and compare it with the OwnerId field of the contact record. If they are not equal, the trigger can add an error to the record and prevent it from being deleted. The other options are not suitable for meeting the requirements, as they would either restrict the edit access or delete access for all users, regardless of ownership.

NEW QUESTION # 123
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 answers:

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

Answer: A,B,D

Explanation:
Defining data duplication standards and rules, measuring data timeliness and consistency, and measuring data completeness and accuracy are three key factors that a data architect should consider while defining data quality standards. Defining data duplication standards and rules can help prevent or reduce duplicate records in the org by specifying criteria and actions for identifying and merging duplicates. Measuring data timeliness and consistency can help ensure that the data is up-to-date, reliable, and synchronized across different sources.
Measuring data completeness and accuracy can help ensure that the data is sufficient, relevant, and correct for the intended purposes.

NEW QUESTION # 124
Which two aspects of data does an Enterprise data governance program aim to improve?

A. Data integrity
B. Data modeling
C. Data usability
D. Data distribution

Answer: A,C

NEW QUESTION # 125
Universal Containers (UC) has implemented a master data management strategy, which uses a central system of truth, to ensure the entire company has the same customer information in all systems. UC customer data changes need to be accurate at all times in all of the systems. Salesforce is the identified system of record for this information.
What is the correct solution for ensuring all systems using customer data are kept up to date?

A. Have each system pull the record changes from Salesforce using change data capture.
B. Send customer record changes from Salesforce to the system of truth in real time.
C. Send customer record changes from Salesforce to each system in a nightly batch job.
D. Send customer data nightly to the system of truth in a scheduled batch job.

Answer: B

Explanation:
Having each system pull the record changes from Salesforce using change data capture (option D) is the correct solution for ensuring all systems using customer data are kept up to date, as it allows the systems to subscribe to real-time events from Salesforce and receive notifications when customer records are created, updated, deleted, or undeleted. Sending customer data nightly to the system of truth in a scheduled batch job (option A) or sending customer record changes from Salesforce to each system in a nightly batch job (option B) are not good solutions, as they may cause data latency and inconsistency, and they do not provide real-time updates. Sending customer record changes from Salesforce to the system of truth in real time (option C) is also not a good solution, as it does not address how the other systems will receive the updates from the system of truth.

NEW QUESTION # 126
Universal Containers (UC) is planning to move away from legacy CRM to Salesforce. As part of one-time data migration, UC will need to keep the original date when a contact was created in the legacy system. How should an Architect design the data migration solution to meet this requirement?

A. After the data is migrated, perform an update on all records to set the original date in a standard Created Date field.
B. Create a new field on the Contact object to capture the Created Date. Hide the standard Created Date field using Field -Level Security.
C. Enable "Set Audit Fields" and assign the permission to the user loading the data for the duration of the migration.
D. Write an Apex trigger on the Contact object, before insert event to set the original value in a standard Created Date field.

Answer: C

Explanation:
Enabling "Set Audit Fields" allows the user loading the data to set the value of the standard CreatedDate field to match the original date from the legacy system. This is a one-time permission that can be revoked after the migration is completed. The other options would either not work or require additional customization

NEW QUESTION # 127
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