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Salesforce Data-Architect Exam Syllabus Topics:

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

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Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q174-Q179):

質問 # 174
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers

A. Bulk API limitations on picklist fields.
B. Standard list view in -line editing.
C. Limitations on master -detail relationships.
D. Org data storage limitations.

正解：A、B

質問 # 175
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

A. Install a third-party AppExchange tool.
B. Use the Bulk API in parallel mode.
C. Utilize PK Chunking with the Bulk API.
D. Call the REST API in successive queries.

正解：C

質問 # 176
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

A. Build reports for customer information and validate.
B. Use App Exchange products to classify fields based on policy.
C. Use data classification metadata fields available in field definition.
D. Create a custom picklist field to capture classification of information on customer.

正解：C

質問 # 177
Universal Containers (UC) has 50 million customers and stores customer order history on an ERP system. UC also uses Salesforce to manage opportunities and customer support.
In order to provide seamless customer support, UC would like to see the customer's order history when viewing the customer record during a sales or support call.
What should a data architect do in order to provide this functionality, while preserving the user experience?

A. Import the order history into a custom Salesforce object, update nightly
B. Use an Apex callout to populate a text area field for displaying the order history.
C. Embed the ERP system in an iframe and display on a custom tab.
D. Use Salesforce Connect and an external object to display the order history in Salesforce

正解：D

解説：
According to Trailhead2, Salesforce Connect is a feature that allows administrators to integrate external data sources with Salesforce without copying or synchronizing the data. Salesforce Connect can use external objects to display the external data in Salesforce as if it were stored in Salesforce objects, enabling seamless user experience and real-time access. Option B is the correct answer because it suggests using Salesforce Connect and an external object to display the order history in Salesforce. Option A is incorrect because using an Apex callout to populate a text area field for displaying the order history can be inefficient and unreliable, as it requires making an HTTP request for each customer record and storing the order history as unstructured text. Option C is incorrect because importing the order history into a custom Salesforce object, update nightly can consume a lot of storage space and cause data latency, as the order history may change more frequently than once a night. Option D is incorrect because embedding the ERP system in an iframe and displaying on a custom tab can degrade the user experience and security, as it requires switching between tabs and authenticating with another system.

質問 # 178
Which two best practices should be followed when using SOSL for searching?

A. Use SOSL option to ignore custom indexes as search fields are pre-indexed.
B. Keep searches specific and avoid wildcards where possible.
C. Use searches against single Objects for greater speed and accuracy.
D. Use Find in "ALL FIELDS" for faster searches.

正解：B、D

質問 # 179
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