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| Section | Objectives |
|---|---|
| Topic 1: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 2: Data Integration | - ETL vs ELT strategies - Integration patterns in Salesforce - API-based integration approaches |
| Topic 3: Data Management | - Data governance principles - Master data management (MDM) concepts - Data quality management |
| Topic 4: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Reporting and analytics considerations - Standard and custom objects |
| Topic 5: Data Architecture and Design | - Conceptual and logical data modeling - Handling large data volume and scalability considerations - Data modeling best practices in Salesforce |
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NEW QUESTION # 231
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: C,D
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 # 232
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
- A subnet of individuals from the finance team will need to access to
the projects object for reporting and adjusting employee utilization.
- The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?
Answer: C
Explanation:
The data architect should recommend Lighting platform plus license type for the finance team that best meets the requirements. This license type allows users to access custom objects and run reports and dashboards on them, without accessing any sales objects.
NEW QUESTION # 233
Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?
Answer: B,C
Explanation:
Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API.
Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.
NEW QUESTION # 234
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: C
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 # 235
What is the purpose of Shield Platform Encryption?
Answer: C
Explanation:
It protects sensitive data for compliance.
NEW QUESTION # 236
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