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| Section | Weight | Objectives |
|---|---|---|
| Data Architecture | 20% | - Governor limits and bulk processing - Performance tuning and optimization - Architecture patterns and design principles - Archiving and data lifecycle management |
| Data Integration | 15% | - Real-time vs batch integration patterns - Handling locks and parallelism during migration - ETL tools and data migration strategies - API-based integration (REST, SOAP, Bulk API) - Sharing rules impact on data integration |
| Master Data Management | 20% | - Data duplication and matching rules - Identity resolution - Data cleansing techniques |
| Data Modeling | 25% | - Skinny tables for performance optimization - Big Objects and external objects - Normalization and denormalization strategies - Indexing strategies - Large Data Volumes (LDV) design considerations |
| Data Governance | 20% | - Data quality standards and metrics - Data stewardship roles and responsibilities - Data retention and archiving policies - Compliance and regulatory considerations |
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NEW QUESTION # 58
A customer is operating in a highly reputated industry and is planning to implement SF. The customer information maintained in SF, includes the following:
Personally, identifiable information (PII)
IP restrictions on profiles organized by Geographic location
Financial records that need to be private and accessible only by the assigned Sales associate.
User should not be allowed to export information from Salesforce.
Enterprise security has mandate access to be restricted to users within a specific geography and detail monitoring of user activity. Which 3 Salesforce shield capabilities should a data architect recommend? Choose 3 answers:
Answer: B,C,E
Explanation:
The best Salesforce Shield capabilities for the customer are to restrict access to SF from users outside specific geography, implement transaction security policies to prevent export of SF data, and encrypt sensitive customer information maintained in SF. Salesforce Shield is a set of security features that help protect enterprise data on the Salesforce platform. It includes three components: Event Monitoring, Platform Encryption, and Field Audit Trail. Restricting access to SF from users outside specific geography can be done using network-based security features, such as IP whitelisting or VPN. Transaction security policies can be used to define actions or notifications based on user behavior patterns, such as exporting data or logging in from an unknown device. Platform Encryption can be used to encrypt data at rest using a tenant secret key that is controlled by the customer.
NEW QUESTION # 59
What 2 data management policies does the data classification feature allow customers to classify in salesforce?
Choose 2 answers:
Answer: C,D
Explanation:
The data classification feature allows customers to classify their data in Salesforce based on two policies:
Data sensitivity level: This policy defines how sensitive the data is and what level of protection it requires. For example, high sensitivity data may require encryption or masking.
Compliance categorization policy: This policy defines how the data is regulated by various laws and standards. For example, GDPR or PCI DSS.
NEW QUESTION # 60
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 answers
Answer: A,C,D
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 # 61
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?
Answer: A,B
Explanation:
According to the Salesforce documentation1, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Leveraging Apex to validate the format of data being entered via a mobile device (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It is better to use standard features or declarative tools that can handle data validation more effectively. Leveraging third-party AppExchange tools (option D) is also not a good solution, as it can incur additional costs and dependencies. It is better to use native Salesforce features or custom solutions that can handle data quality more efficiently.
NEW QUESTION # 62
NTO has decided that it is going to build a channel sales portal with the following requirements:
1. External resellers are able to authenticate to the portal with a login.
2. Lead data, opportunity data and order data are available to authenticated users.
3. Authenticated users many need to run reports and dashboards.
4. There is no need for more than 10 custom objects or additional file storage.
Which community cloud license type should a data architect recommend to meet the portal requirements?
Answer: D
NEW QUESTION # 63
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