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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q152-Q157):

NEW QUESTION # 152
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

A. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.
B. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
C. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
D. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.

Answer: C

NEW QUESTION # 153
Northern Trail outfitters in migrating to salesforce from a legacy CRM system that identifies the agent relationships in a look-up table.
What should the data architect do in order to migrate the data to Salesfoce?

A. Migrate to Salesforce without a record owner.
B. Migrate the data and assign to a non-person system user.
C. Assign record owner based on relationship.
D. Create custom objects to store agent relationships.

Answer: D

NEW QUESTION # 154
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders.
What should be used to mitigate this problem?

A. Validation Rules
B. Formatted Fields
C. Apex Trigger
D. Work Flow Rules

Answer: A

Explanation:
Using validation rules to mitigate this problem is the best option. Validation rules can help you prevent invalid data from being entered in your web order form. You can use validation rules to check for data quality, format, range, or consistency. For example, you can use validation rules to ensure that the order quantity is positive, the product code is valid, or the shipping address is complete.

NEW QUESTION # 155
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage.
What should a data architect recommend for a daily backup and restore solution?

A. Use AppExchange package for backup and restore.
B. Use Bulk API to extract data on daily basis to EDW and REST API for restore.
C. Change weekly backup process to daily backup, and implement a custom restore solution.
D. Use ETL for backup and restore from EDW.

Answer: A

NEW QUESTION # 156
A casino is implementing Salesforce and is planning to build a customer 360 degree view for a customer who visits its resorts. The casino currently maintains the following systems that record customer activity: L Point-of-sale system: All purchases for a customer
2. Salesforce; All customer service activity and sales activities for a customer
3. Mobile app: All bookings, preferences, and browser activity for a customer
4. Marketing: All email, SMS, and social campaigns for a customer
Customer service agents using Salesforce would like to view the activities from all four systems to provide support to customers. The information has to be current and real time.
What strategy should the data architect implement to satisfy this requirement?

A. Periodically upload summary information in Salesforce to build a 360-degree view.
B. Use a customer data mart to create the 360-degree view of the customer.
C. Explore external data sources in Salesforce to build a 360-degree view of the customer.
D. Migrate customer activities fro, all four system into Salesforce.

Answer: C

Explanation:
Exploring external data sources in Salesforce to build a 360 degree view of the customer (option A) is the best strategy to satisfy this requirement, as it allows customer service agents to view the activities from all four systems in real time without storing or replicating the data in Salesforce. Using a customer data mart to create the 360 degree view of the customer (option B) is not a good strategy, as it may introduce additional complexity and cost, and it does not leverage the native Salesforce features. Periodically uploading summary information in Salesforce to build a 360 degree view (option C) is also not a good strategy, as it may cause data latency and inconsistency, and it does not provide real-time information. Migrating customer activities from all four systems into Salesforce (option D) is also not a good strategy, as it may cause data redundancy and conflicts, and it does not scale well with large volumes of data.

NEW QUESTION # 157
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