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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q151-Q156):

NEW QUESTION # 151
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:

A. Map legacy data to salesforce custom objects.
B. Identify data elements to be persisted in salesforce.
C. Work with legacy application owner to analysis legacy data model.
D. Implement legacy data model within salesforce using custom fields.
E. Map legacy data to salesforce objects.

Answer: B,D,E

NEW QUESTION # 152
Universal Containers (UC) has users complaining about reports timing out or simply taking too long to run What two actions should the data architect recommend to improve the reporting experience? Choose 2 answers

A. Create one skinny table per report.
B. Index key fields used in report criteria.
C. Share each report with fewer users.
D. Enable Divisions for large data objects.

Answer: A,B

NEW QUESTION # 153
Ursa Major Solar's legacy system has a quarterly accounts receivable report that compiles data from the following:
- Accounts
- Contacts
- Opportunities
- Orders
- Order Line Items
Which issue will an architect have when implementing this in Salesforce?

A. Salesforce does NOT allow more than four objects in a single report type.
B. Custom report types CANNOT contain Opportunity data.
C. Salesforce does NOT support Orders or Order Line Items.
D. A report CANNOT contain data from Accounts and Contacts.

Answer: A

NEW QUESTION # 154
Universal Containers (UC) has multi -level account hierarchies that represent departments within their major Accounts. Users are creating duplicate Contacts across multiple departments. UC wants to clean the data so as to have a single Contact across departments. What two solutions should UC implement to cleanse their data?
Choose 2 answers

A. Make use of a third -party tool to help merge duplicate Contacts across Accounts.
B. Make use of the Merge Contacts feature of Salesforce to merge duplicates for an Account.
C. Use Workflow rules to standardize Contact information to identify and prevent duplicates.
D. Use Data.com to standardize Contact address information to help identify duplicates.

Answer: A,D

Explanation:
Making use of a third-party tool to help merge duplicate Contacts across Accounts and using Data.com to standardize Contact address information to help identify duplicates are two solutions that UC should implement to cleanse their data and have a single Contact across departments. A third-party tool, such as an app from the AppExchange, can provide advanced features and capabilities for finding and merging duplicate Contacts across different Accounts, based on various criteria and rules. Data.com can provide address verification and standardization services that can enhance the quality and consistency of Contact address information and make it easier to identify duplicates. The other options are not feasible or effective for cleansing the data, as they would either not work across different Accounts, not address the root cause of duplication, or not provide sufficient functionality for merging duplicates

NEW QUESTION # 155
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. Export legacy data into the staging database and leverage stored procedures to transform data types before loading into Salesforce.
B. Migrate legacy data to a staging database for mapping then leverage an ETL tool to transform the data and load into Salesforce.
C. Export legacy data into CSV files and leverage data loader to load data into Salesforce.
D. Migrate the legacy data leveraging an ETL tool to transform data types and load data into Salesforce.

Answer: D

NEW QUESTION # 156
......

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