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| Section | Objectives |
|---|---|
| Topic 1: Data Management | - Data governance principles - Master data management (MDM) concepts - Data quality management |
| Topic 2: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 3: Data Integration | - API-based integration approaches - ETL vs ELT strategies - Integration patterns in Salesforce |
| Topic 4: Data Architecture and Design | - Data modeling best practices in Salesforce - Conceptual and logical data modeling - Handling large data volume and scalability considerations |
| Topic 5: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Reporting and analytics considerations - Standard and custom objects |
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NEW QUESTION # 170
Northern Trail Outfitters (NTO) plans to maintain contact preferences for customers and employees.
NTO has implemented the following:
1. Customers are Person Accounts for their retail business.
2. Customers are represented as Contacts for their commercial business.
3. Employees are maintained as Users.
4. Prospects are maintained as Leads.
NTO needs to implement a standard communication preference management model for Person Accounts, Contacts, Users, and Leads.
Which option should the data architect recommend NTO to satisfy this requirement?
Answer: A
Explanation:
The Individual object is a standard object that lets you store details about data privacy and protection preferences for person accounts, contacts, users, and leads. The Individual object can be used to implement a standard communication preference management model for NTO, with relationships to the other objects.
NEW QUESTION # 171
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types. Which solution should a data architect use to ensure successful data migrations?
Answer: A
Explanation:
According to this article, migrating the legacy data leveraging an ETL tool to transform data types and load data into Salesforce can be a way to ensure successful data migrations. The article states that ETL tools can help with data cleansing, mapping, transformation, and loading, and that they can handle different data types and formats. The article also provides some best practices for data migration, such as identifying the data to migrate, creating templates for the data, preparing the destination org, and validating the data.
NEW QUESTION # 172
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
Answer: B
Explanation:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud. Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud.
NEW QUESTION # 173
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce. What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?
Answer: B
Explanation:
The correct answer is B, use data classification metadata fields available in field definition. Data classification metadata fields are standard fields that allow you to classify the sensitivity level of your data based on your organization's policies. You can use these fields to indicate whether a field contains confidential, restricted, or general data. These fields are available for both standard and custom objects in Salesforce. Using app exchange products, creating a custom picklist field, or building reports would not be as effective or consistent as using data classification metadata fields.
NEW QUESTION # 174
Which API should a data architect use if exporting 1 million records from Salesforce?
Answer: B
Explanation:
Using Bulk API to export 1 million records from Salesforce is the best option. Bulk API is a RESTful API that allows you to perform asynchronous operations on large sets of data. You can use Bulk API to create, update, delete, or query millions of records in batches. Bulk API is optimized for performance and scalability, and it can handle complex data loading scenarios.
NEW QUESTION # 175
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