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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect Sample Questions (Q189-Q194):

NEW QUESTION # 189
Universal Containers is planning out their archiving and purging plans going forward for their custom objects Topic__c and Comment__c. Several options are being considered, including analytics snapshots, offsite storage, scheduled purges, etc. Which three questions should be considered when designing an appropriate archiving strategy?

A. Are there any regulatory restrictions that will influence the archiving and purging plans?
B. Which profiles and users currently have access to these custom object records?
C. If reporting is necessary, can the information be aggregated into fewer, summary records?
D. How many fields are defined on the custom objects that need to be archived?
E. Will the data being archived need to be reported on or accessed in any way in the future?

Answer: A,C,E

NEW QUESTION # 190
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

A. Use Weekly Export to extract transactional data to on-premise systems.
B. Use a custom built extract job to extract operational data to on-premise systems.
C. Use Event Monitoring to extract event data to on-premise systems.
D. Use Field Audit History to capture operational data and extract it to on-premise systems.

Answer: B

NEW QUESTION # 191
Which two aspects of data does an Enterprise data governance program aim to improve?

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

Answer: C,D

Explanation:
Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise2. Data usability refers to the ease of access, analysis, and interpretation of the data by the end users

NEW QUESTION # 192
Universal Container is Implementing salesforce and needs to migrate data from two legacy systems. UC would like to clean and duplicate data before migrate to Salesforce.
Which solution should a data architect recommend a clean migration?

A. Define duplicate rules in Salesforce, and load data into Salesforce from both databases.
B. Set up staging data base, and define external IDs to merge, clean duplicate data, and load into Salesforce.
C. Define external IDs for an object, Insert data from one database, and use upsert for a second database
D. Define external IDs for an object, migrate second database to first database, and load into Salesforce.

Answer: C

NEW QUESTION # 193
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?

A. Create custom fields on opportunity, and copy data from order into those custom fields and run all reports on Opportunity object.
B. Create an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports.
C. Extract opportunity and order data from Salesforce, and use a third-party reporting tool to run reports outside of Salesforce.
D. Create a skinny table in Salesforce, and copy order and opportunity fields into the skinny table and create the required reports on It.

Answer: B

Explanation:
Creating an aggregate custom object that summarizes the monthly and yearly values into the required format for the required reports (option D) is the fastest and most effective way for a data architect to solve the time-out issue, as it reduces the amount of data that needs to be queried and processed by the reports. Creating custom fields on opportunity and copying data from order into those custom fields (option A) is not a good solution, as it may create data redundancy and inconsistency, and it does not address the large volume of data.
Extracting opportunity and order data from Salesforce and using a third-party reporting tool (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not leverage the native reporting features of Salesforce. Creating a skinny table in Salesforce and copying order and opportunity fields into it (option C) is also not a good solution, as it may not support all the reporting requirements, and it does not reduce the number of records.

NEW QUESTION # 194
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