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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q105-Q110):

NEW QUESTION # 105
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types.
Which solution should a data architect use to ensure successful data migrations?

A. Migrate legacy data to a staging database for mapping then leverage an ETL tool to transform the data and load into Salesforce.
B. Export legacy data into CSV files and leverage data loader to load data into Salesforce.
C. Migrate the legacy data leveraging an ETL tool to transform data types and load data into Salesforce.
D. Export legacy data into the staging database and leverage stored procedures to transform data types before loading into Salesforce.

Answer: C

NEW QUESTION # 106
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. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
B. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.
C. Duplicate customer records across the system and provide a two-way sync of data between the systems.
D. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
E. Create a unique global customer ID for each customer and store that in all system for referential identity.

Answer: A,D,E

Explanation:
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data. Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems. Using Salesforce CDC to sync customer data across all systems (option B) is not a good option, as it does not address the duplication or inconsistency issues. Duplicating customer records across the system and providing a two-way sync of data between the systems (option D) is also not a good option, as it may create more confusion and conflicts with customer data.

NEW QUESTION # 107
Universal Containers has successfully migrated 50 million records into five different objects multiple times in a full copy sandbox. The Integration Engineer wants to re-run the test again a month before it goes live into Production. What is the recommended approach to re-run the test?

A. Refresh the full copy sandbox and re-run the data migration test.
B. Truncate all 5 objects and hard delete before running the migration test.
C. Truncate all 5 objects quickly and re-run the data migration test.
D. Hard delete all 5 objects' data and re-run the data migration test.

Answer: A

NEW QUESTION # 108
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

A. Create a geolocation custom field to maintain this requirement
B. Create custom fields to maintain latitude and longitude information
C. Recommend app exchange packages to support this requirement.
D. Create formula fields with geolocation function for this requirement.

Answer: B

NEW QUESTION # 109
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:

A. Data sensitivity policy.
B. Reference data policy.
C. Data governance policy.
D. Compliance categorization policy.

Answer: A,D

NEW QUESTION # 110
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