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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modeling | 25% | - Big Objects and external objects - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Indexing strategies - Skinny tables for performance optimization |
| Topic 2: Data Architecture | 20% | - Governor limits and bulk processing - Architecture patterns and design principles - Archiving and data lifecycle management - Performance tuning and optimization |
| Topic 3: Data Integration | 15% | - ETL tools and data migration strategies - Handling locks and parallelism during migration - API-based integration (REST, SOAP, Bulk API) - Sharing rules impact on data integration - Real-time vs batch integration patterns |
| Topic 4: Data Governance | 20% | - Data retention and archiving policies - Compliance and regulatory considerations - Data quality standards and metrics - Data stewardship roles and responsibilities |
| Topic 5: Master Data Management | 20% | - Data cleansing techniques - Identity resolution - Data duplication and matching rules |
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NEW QUESTION # 187
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?
Answer: A
NEW QUESTION # 188
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
What are two approaches an Architect should recommend? (Choose two.)
Answer: A,C
Explanation:
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features5. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce6.
NEW QUESTION # 189
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
A subnet of individuals from the finance team will need to access to the projects object for reporting and adjusting employee utilization.
The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?
Answer: B
NEW QUESTION # 190
A company wants to document the data architecture of a Salesforce organization.
What are two valid metadata types that should be included? (Choose two.)
Answer: B,D
NEW QUESTION # 191
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?
Answer: C
Explanation:
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.
NEW QUESTION # 192
......
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