Salesforce Data-Architect합격보장가능공부자료 - Data-Architect시험패스인증덤프

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Salesforce Data Management25%- 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. Tools: Data Loader, Import Wizard, Bulk API
  • 3. Data validation and cleansing
Topic 2: Data Governance and Compliance20%- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data privacy and security
  • 3. Data classification and handling
- Data governance framework
  • 1. Data stewardship and ownership
  • 2. Data quality standards
  • 3. Compliance and regulatory requirements
Topic 3: Data Integration and Master Data Management10%- Integration patterns and tools
  • 1. External data sources and objects
  • 2. Real-time vs batch integration
  • 3. REST, SOAP, and Bulk API usage
- Master data management
  • 1. MDM strategy and implementation
  • 2. Data synchronization and consistency
  • 3. Single source of truth design
Topic 4: Large Data Volume Considerations20%- Storage and optimization
  • 1. Archiving and off-platform storage
  • 2. Performance tuning techniques
  • 3. Storage limits and management
- Performance and scalability
  • 1. Handling millions of records
  • 2. Governor limits and bulk processing
  • 3. Avoiding and resolving data skew
Topic 5: Data Modeling and Database Design25%- Indexing and data structure
  • 1. Query optimization strategies
  • 2. Skinny tables and big objects
  • 3. Standard and custom indexes
- Design scalable data models
  • 1. Object relationships and cardinality
  • 2. Data model optimization for performance
  • 3. Custom and standard object design

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최신 Salesforce Application Architect Data-Architect 무료샘플문제 (Q97-Q102):

질문 # 97
Northern Trail Outfitters (NTO) has recently implemented Salesforce to track opportunities across all their regions. NTO sales teams across all regions have historically managed their sales process in Microsoft Excel. NTO sales teams are complaining that their data from the Excel files were not migrated as part of the implementation and NTO is now facing low Salesforce adoption.
What should a data architect recommend to increase Salesforce adoption?

정답：C

설명：
According to Trailhead2, one of the best practices to increase Salesforce adoption is to migrate existing data from legacy systems or spreadsheets into Salesforce, so that users can access all their data in one place and leverage the features and functionality of Salesforce. Option B is the correct answer because it suggests defining a standard mapping and training sales users to import opportunity data from Excel files into Salesforce, which can help them transition from their old process and increase their confidence and satisfaction with Salesforce. Option A is incorrect because using the Excel connector to Salesforce does not migrate the data into Salesforce, but only syncs it between Excel and Salesforce, which can cause data inconsistency and duplication issues. Option C is incorrect because loading data in an external database and providing access to it does not increase Salesforce adoption, but rather creates another system for users to manage and switch between. Option D is incorrect because creating a chatter group and uploading all Excel files to it does not migrate the data into Salesforce, but only stores it as attachments, which cannot be used for reporting or analysis purposes.


질문 # 98
Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting performance issues and time-outs while running case reports in the Salesforce org.
Which solution should a data architect recommend to improve reporting performance?

정답：C


질문 # 99
Universal Containers (UC) provides shipping services to its customers. They use Opportunities to track customer shipments. At any given time, shipping status can be one of the 10 values. UC has 200,000 Opportunity records. When creating a new field to track shipping status on opportunity, what should the architect do to improve data quality and avoid data skew?

정답：C

설명：
To improve data quality and avoid data skew, the data architect should create a picklist field with values sorted alphabetically for tracking shipping status on opportunity. A picklist field ensures that only valid values are entered and prevents typos or variations in spelling. Sorting the values alphabetically makes it easier for users to find and select the correct value. Data skew occurs when a large number of records are owned by a single user or have a single value for a field. Creating a picklist field with a limited number of values does not cause data skew, as long as the distribution of values is balanced and not skewed towards one value.


질문 # 100
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?

정답：A,B,D


질문 # 101
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

정답：B


질문 # 102
......

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