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| Section | Objectives |
|---|---|
| Salesforce Data Model and Platform Capabilities | - Reporting and analytics considerations - Standard and custom objects - Relationships and schema design |
| Data Architecture and Design | - Conceptual and logical data modeling - Handling large data volume and scalability considerations - Data modeling best practices in Salesforce |
| Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Data Integration | - ETL vs ELT strategies - Integration patterns in Salesforce - API-based integration approaches |
| Data Management | - Data governance principles - Master data management (MDM) concepts - Data quality management |
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NEW QUESTION # 36
Which feature controls record-level access?
Answer: C
Explanation:
Sharing rules extend access beyond role hierarchy.
NEW QUESTION # 37
The architect is planning a large data migration for Universal Containers from their legacy CRM system to Salesforce. What three things should the architect consider to optimize performance of the data migration? Choose 3 answer
Answer: B,C,E
Explanation:
Removing custom indexes on the data being loaded will prevent unnecessary index maintenance and improve the data load speed. Deferring sharing calculations of the Salesforce Org will avoid frequent sharing rule evaluations and reduce the load time. Deactivating approval processes and workflow rules will prevent triggering any automation logic that might slow down or fail the data load.
NEW QUESTION # 38
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage. Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?
Answer: A,B
Explanation:
The number of joins used in report query and the number of records returned by report query are two key considerations to make sure the performance of the report is not degraded due to large data volume. The number of joins used in report query affects the complexity and execution time of the query, especially when joining multiple large objects. The number of records returned by report query affects the amount of data that needs to be processed and displayed by the report engine.
NEW QUESTION # 39
A casino is implementing salesforce and is planning to build a customer 360 view for a customer who visits its resorts. The casino currently maintained the following systems that records customer activity:
1. Point of sales system: All purchases for a customer.
2. Salesforce: All customer service activity and sales activity for a customer.
3. Mobile app: All bookings, preferences and browser activity for a customer.
4. Marketing: All email, SMS and social campaigns for a customer.
Customer service agents using salesforce would like to view the activities from all system to provide supports to customers. The information has to be current and real time.
What strategy should the data architect implement to satisfy this requirement?
Answer: B
Explanation:
Exploring external data sources in Salesforce to build 360 view of customer is the best strategy to satisfy the requirement, as it allows real-time access to data from other systems without storing it in Salesforce. Using a customer data mart may not provide real-time information or may require additional integration efforts. Migrating customer activities from all 4 systems into Salesforce may exceed the storage limits or cause data quality issues. Periodically uploading summary information in Salesforce may not provide current or detailed information.
NEW QUESTION # 40
UC has been using SF for 10 years. Lately, users have noticed, that the pages load slowly when viewing Customer and Account list view. To mitigate, UC will implement a data archive strategy to reduce the amount of data actively loaded. Which 2 tasks are required to define the strategy?
Choose 2 answer
Answer: A,B
Explanation:
The two tasks required to define the data archive strategy are to identify how the archive data will be accessed and used, and identify the data retention requirements. Data archiving is the process of moving infrequently used or historical data from active storage to a separate storage location for long-term retention. Data archiving can improve performance, reduce storage costs, and comply with legal or regulatory obligations. To define a data archive strategy, a data architect needs to consider how the archived data will be accessed and used by different users or processes in Salesforce or outside Salesforce, and how long the archived data needs to be retained based on business or legal requirements.
NEW QUESTION # 41
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