Data-Architect최신시험기출문제모음 & Data-Architect덤프최신버전

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration and Master Data Management10%- Master data management
  • 1. Single source of truth design
  • 2. MDM strategy and implementation
  • 3. Data synchronization and consistency
- Integration patterns and tools
  • 1. External data sources and objects
  • 2. REST, SOAP, and Bulk API usage
  • 3. Real-time vs batch integration
Topic 2: Data Governance and Compliance20%- 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 3: Large Data Volume Considerations20%- Storage and optimization
  • 1. Storage limits and management
  • 2. Performance tuning techniques
  • 3. Archiving and off-platform storage
- Performance and scalability
  • 1. Handling millions of records
  • 2. Governor limits and bulk processing
  • 3. Avoiding and resolving data skew
Topic 4: Data Modeling and Database Design25%- Design scalable data models
  • 1. Data model optimization for performance
  • 2. Object relationships and cardinality
  • 3. Custom and standard object design
- Indexing and data structure
  • 1. Skinny tables and big objects
  • 2. Query optimization strategies
  • 3. Standard and custom indexes
Topic 5: Salesforce Data Management25%- Sharing and visibility design
  • 1. Data access and security model
  • 2. Organization-wide defaults, role hierarchy
  • 3. Sharing rules, manual sharing, Apex sharing
- Data import and export strategies
  • 1. Data validation and cleansing
  • 2. Migration planning and execution
  • 3. Tools: Data Loader, Import Wizard, Bulk API

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Data-Architect최신 시험 기출문제 모음 최신 기출문제

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최신 Salesforce Application Architect Data-Architect 무료샘플문제 (Q24-Q29):

질문 # 24
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are timing out? (Choose two.)

정답：B,C

설명：
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues. Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.


질문 # 25
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and "Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

정답：A

설명：
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system


질문 # 26
Northern Trail Outfitters Is planning to build a consent form to record customer authorization for marketing purposes.
What should a data architect recommend to fulfill this requirement?

정답：A


질문 # 27
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system- During analysis, UC users highlight a pain point that there are multiple versions of many customers.
What should the data architect do for a successful migration to mitigate the pain point?

정답：A


질문 # 28
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation?
Choose 3 answers

정답：B,D,E

설명：
Determining if any integration points create records in Salesforce, running key reports to determine what fields should be required, and reviewing the sharing model to determine impact on duplicate records are three areas of Salesforce that the architect should review before proposing any design recommendation. These areas will help to identify the sources and quality of data, the business rules and validations for data entry, and the access and visibility of data across users and roles. Reviewing the metadata xml files for redundant fields to consolidate, and exporting the setup audit trail to review what fields are being used are not necessary steps for optimizing a data stewardship engagement, as they are more related to metadata management and audit tracking.


질문 # 29
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