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| Section | Objectives |
|---|---|
| Topic 1: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Reporting and analytics considerations - Standard and custom objects |
| Topic 2: Data Architecture and Design | - Conceptual and logical data modeling - Data modeling best practices in Salesforce - Handling large data volume and scalability considerations |
| Topic 3: Data Management | - Data quality management - Master data management (MDM) concepts - Data governance principles |
| Topic 4: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 5: Data Integration | - API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies |
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NEW QUESTION # 160
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
- 2500000 accounts
- 25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?
Answer: C
Explanation:
The correct answer is B, add custom indexes on frequently searched account and contact object fields. Custom indexes are a way to improve the performance of your queries and reports by creating indexes on specific fields that are often used in filters or joins. By adding custom indexes on frequently searched account and contact object fields, you can speed up the response time for reports and list views. Loading only the data that users are permitted to access, limiting data loading to the 2000 most recent records, or creating a skinny table are also possible solutions, but they are either not feasible, not scalable, or not supported by Salesforce.
NEW QUESTION # 161
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: A,B
Explanation:
Option A is correct because RecordType is a valid metadata type that should be included in documenting the data architecture of a Salesforce organization. RecordType defines different business processes, picklist values, and page layouts for different users. Option C is correct because CustomField is another valid metadata type that should be included in documenting the data architecture of a Salesforce organization. CustomField defines custom attributes for standard or custom objects.
NEW QUESTION # 162
An Architect needs information about who is creating, changing, or deleting certain fields within the past four months. How can the Architect access this information?
Answer: B
Explanation:
Exporting the setup audit trail can provide information about who is creating, changing, or deleting certain fields within the past four months. The setup audit trail tracks the recent setup changes that administrators and other users have made to the organization. The setup audit trail history shows up to 20 most recent changes in the Setup area, but administrators can download a report (in CSV format) of up to six months of setup history.
NEW QUESTION # 163
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?
Answer: D
Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems.
You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.
NEW QUESTION # 164
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan? Choose 2 answer
Answer: B,C
Explanation:
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce
NEW QUESTION # 165
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