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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Master Data Management | 20% | - Identity resolution - Data cleansing techniques - Data duplication and matching rules |
| Topic 2: Data Integration | 15% | - Sharing rules impact on data integration - ETL tools and data migration strategies - Handling locks and parallelism during migration - API-based integration (REST, SOAP, Bulk API) - Real-time vs batch integration patterns |
| Topic 3: Data Modeling | 25% | - Indexing strategies - Large Data Volumes (LDV) design considerations - Normalization and denormalization strategies - Big Objects and external objects - Skinny tables for performance optimization |
| Topic 4: Data Architecture | 20% | - Governor limits and bulk processing - Performance tuning and optimization - Archiving and data lifecycle management - Architecture patterns and design principles |
| Topic 5: Data Governance | 20% | - Data stewardship roles and responsibilities - Data retention and archiving policies - Compliance and regulatory considerations - Data quality standards and metrics |
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178. Frage
Universal Container (US) is replacing a home-grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
Which solution should a data architect recommend to meet business requirement?
Antwort: C
Begründung:
According to the Using Mashups article on Salesforce Developers, one of the techniques for deploying large data volumes is to use mashups to display historical records in Salesforce. The article states that "Mashups are a way to display data from an external system within a Salesforce page without copying or synchronizing the data. Mashups use a combination of Visualforce, Apex callouts, and JavaScript code that runs in the browser.
Mashups are useful when you want to display large amounts of read-only data that is stored outside of Salesforce." Therefore, a data architect should recommend this solution to meet the business requirement of UC.
179. Frage
A customer needs a sales model that allows the following:
Opportunities need to be assigned to sales people based on the zip code.
Each sales person can be assigned to multiple zip codes.
Each zip code is assigned to a sales area definition. Sales is aggregated by sales area for reporting.
What should a data architect recommend?
Antwort: B
Begründung:
The best solution to assign opportunities based on zip code and sales area is to configure territory management feature to support opportunity assignment. Territory management is a feature that allows you to organize your sales team into territories based on criteria such as geography, industry, product line, or customer segment. You can assign accounts and opportunities to territories using assignment rules or manual sharing. You can also define forecast managers and roll up forecasts by territory45. Assign opportunities using list views using zip code is not a good solution because it is inefficient and does not support reporting by sales area. Add custom fields in opportunities for zip code and use assignment rules is not a good solution because it requires creating additional fields and does not support reporting by sales area. Allow sales users to manually assign opportunity ownership based on zip code is not a good solution because it is prone to errors and does not support reporting by sales area.
180. Frage
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?
Antwort: D
181. Frage
Universal Containers has a custom object with millions of rows of data.
When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)
Antwort: A,C,D
Begründung:
Using leading % wildcards, performing large loads and deletions, and using NOT and != operators are three options that prevent a query from being selective. These options can cause the query to scan a large number of records or indexes, which can negatively impact the performance and scalability of the query5. Using a custom index on a deterministic formula field, on the other hand, can improve the query selectivity by allowing the query to use the index instead of scanning all the records6.
182. Frage
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)
Antwort: B,D
183. Frage
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