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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. Custom and standard object design 2. Object relationships and cardinality 3. Data model optimization for performance - Indexing and data structure 1. Query optimization strategies 2. Standard and custom indexes 3. Skinny tables and big objects
Topic 2: 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 3: Large Data Volume Considerations	20%	- Storage and optimization 1. Performance tuning techniques 2. Storage limits and management 3. Archiving and off-platform storage - Performance and scalability 1. Avoiding and resolving data skew 2. Governor limits and bulk processing 3. Handling millions of records
Topic 4: Data Governance and Compliance	20%	- Data governance framework 1. Data quality standards 2. Compliance and regulatory requirements 3. Data stewardship and ownership - Data lifecycle management 1. Data classification and handling 2. Data privacy and security 3. Data retention and archiving policies
Topic 5: Salesforce Data Management	25%	- Sharing and visibility design 1. Sharing rules, manual sharing, Apex sharing 2. Data access and security model 3. Organization-wide defaults, role hierarchy - Data import and export strategies 1. Data validation and cleansing 2. Migration planning and execution 3. Tools: Data Loader, Import Wizard, Bulk API

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Salesforce Certified Data Architect Sample Questions (Q67-Q72):

NEW QUESTION # 67
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months.
How can the Architect access this information?

A. Create a field history report for the fields in question.
B. After exporting the metadata, search it for the fields in question.
C. Remove "customize application" permissions from everyone else.
D. After exporting the setup audit trail, find the fields in question.

Answer: D

Explanation:
Exporting the setup audit trail can provide information about who is creating, changing, or deleting certain fields within the past four months. The setup audit trail tracks the recent setup changes that administrators and other users have made to the organization. The setup audit trail history shows up to 20 most recent changes in the Setup area, but administrators can download a report (in CSV format) of up to six months of setup history.

NEW QUESTION # 68
NTO has a loyalty program to reward repeat customers. The following conditions exists:
1. Reward levels are earned based on the amount spent during the previous 12 months.
2. The program will track every item a customer has bought and grant them points for discount.
3. The program generates 100 million records each month.
NTO customer support would like to see a summary of a customer's recent transaction and reward level(s) they have attained.
Which solution should the data architect use to provide the information within the salesforce for the customer support agents?

A. Create a custom object in salesforce to capture and store all reward program. Populate nightly from the point-of-scale system, and present on the customer record.
B. Capture the reward program data in an external data store and present the 12 months trailing summary in salesforce using salesforce connect and then external object.
C. Create a custom big object to capture the reward program data and display it on the contact record and update nightly from the point-of-scale system.
D. Provide a button so that the agent can quickly open the point of sales system displaying the customer history.

Answer: C

Explanation:
According to the Get Started with Big Objects unit on Trailhead, one of the use cases for custom big objects is to store and manage loyalty program data for customers. The unit states that "From loyalty programs to transactions, order, and billing information, use a custom big object to keep track of every detail." Therefore, a custom big object can be used to capture the reward program data and display it on the contact record. Additionally, according to the Big Objects Implementation Guide, big objects can handle massive amounts of data (up to billions of records) and can be updated nightly from external systems using Bulk API or batch Apex. Therefore, a custom big object can meet the requirements of NTO's loyalty program scenario.

NEW QUESTION # 69
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage.
Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?

A. Number of records returned by report query.
B. Number of characters in report query.
C. Number of joins used in report query.
D. Number of queries running at a time.

Answer: A,C

NEW QUESTION # 70
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose
23 answers:

A. Determine if the data is driver of key process implemented within salesforce.
B. A selection of the tool required to replicate the data.
C. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
D. - Heroku Connect is required but this is confusing
E. Consider whether the data is required for sales reports, dashboards and KPI's.
F. Ensure the data is CRM center and able to populate standard of custom objects.

Answer: A,B,C

Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce

NEW QUESTION # 71
UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.
What should a data architect recommend to meet these requirements with minimal effort?

A. Virtualize the remaining set of data with salesforce connect and external objects.
B. Use Heroku connect to bi-directional, sync all data between systems.
C. Migrate the data to big objects and leverage async SOQL with custom objects.
D. As needed, make call outs into Heroku postgres and persist the data in salesforce.

Answer: A

NEW QUESTION # 72
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