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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Education Cloud Integration and Data Management | 15% | - Explain data migration strategies - Describe data management considerations - Determine integration patterns for an Education Cloud implementation |
| Topic 2: Analytics and Einstein for Education Cloud | 10% | - Determine reporting and analytics solutions for an Education Cloud implementation - Describe Education Einstein capabilities |
| Topic 3: Recruitment and Admissions | 17% | - Configure Recruitment and Admissions - Explain Student data model and relationships - Determine the correct tools and methods to support Recruitment and Admissions |
| Topic 4: Education Cloud Settings and Configuration | 20% | - Determine the correct settings and configuration for a deployment - Explain how to set up and configure an Education Cloud org - Describe the capabilities of Education Cloud - Explain the Education Cloud architecture and concepts |
| Topic 5: Student Success and Support | 22% | - Determine the correct tools and methods to support Student Success and Support - Explain Advising data model and relationships - Configure Student Success |
| Topic 6: Advancement | 11% | - Determine the correct tools and methods to support Advancement operations - Explain Advancement data model and relationships |
| Topic 7: Stakeholder Management and Ecosystem | 5% | - Explain the Education Cloud Ecosystem - Identify the appropriate stakeholders for a project |
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NEW QUESTION # 153
An Advancement office is evaluating the automation capabilitiesof the Education Data Architecture (EDA).
The office needs to be able to identify inactive addresses and have them sync to the contact record.
How should the consultant meet this requirement?
Answer: C
Explanation:
The Education Data Architecture (EDA) provides a feature to track and manage multiple addresses for contacts and accounts using the Address object1. The Address object has a field called "Inactive" that indicates whether the address is currently in use or not2. By selecting the "Inactive" checkbox on the Address record, the consultant can mark the address as inactive and have it sync to the contact record. The contact record will then show the inactive address in the Mailing Address field, with a strike-through line to indicate that itis no longer valid3.
Setting the inactive address on the contact record through integration is not a recommended solution, as itwould bypass the EDA address management feature and create inconsistency between the contact and address records. Developing a custom trigger to update the contact record is also not necessary, as EDA already provides a built-in mechanism to handle inactive addresses using the Address object.
References:
1: Understand Addresses in EDA - Salesforce
2: EDA Object Reference - Salesforce
3: Manage SimpleChanges to Address Records - Salesforce
NEW QUESTION # 154
College advisors want assistance proactively identifying student issues as they arise.
Which functionality in Student Success Hub should the consultant recommend?
Answer: C
Explanation:
Early Alerts is a functionality in Student Success Hub that the consultant can recommend to meet the requirement of providing assistance to proactively identify student issues as they arise. Early Alerts is a feature that allows users to create and manage alerts for students who may need intervention or support, such as academic, financial, or personal issues. Early Alerts can help college advisors proactively identify student issues as they arise by using features such as Alert Reasons, Alert Statuses, or Alert Assignment Rules. Advising Events, Mass Actions, and Success Plans are not functionalities in Student Success Hub that can meet the requirement of providing assistance to proactively identify student issues as they arise. Reference:
https://www.salesforce.org/products/student-success-hub/overview/
https://powerofus.force.com/s/article/SSHub-Early-Alerts
NEW QUESTION # 155
A university is experiencing performance degradation issues such as record locking, long search times, and long record save times.
What is the likely cause for all ofthese issues?
Answer: B
Explanation:
Data skew is the likely cause for all of these issues, such as record locking, long search times, and long record save times. Data skew is a condition that occurs when a large number of child records are associated with a single parent record, or when a large number of records are owned by a single user. Data skew can affect performance and functionality, such as locking records, slowing down queries, andincreasing save times.
TDTM, insufficient code coverage, and insufficient data storage are not likely causes for all of these issues.
References:
https://help.salesforce.com/s/articleView?id=sf.data_skew.htm & type=5
https://developer.salesforce.com/blogs/engineering/2012/04/avoid-account-data-skew-for-peak-performance.
html
NEW QUESTION # 156
The Advancement office plans to use Salesforce and Marketing Cloud to engage its alumni, donors, and university supporters. The marketing staff and advancement officers want to retain all contact data and email activity, including Individual Email Result (IER) dat a. The system admins and CRM team want to avoid unnecessary data storage.
Which data management strategy should the consultant consider?
Answer: C
Explanation:
The consultant should consider moving old data out of the CRM into a data warehouse as a data management strategy for the Advancement office that plans to use Salesforce and Marketing Cloud to engage its alumni, donors, and university supporters and wants to retain all contact data and email activity, including Individual Email Result (IER) data, but also wants to avoid unnecessary data storage. Moving old data out of the CRM into a data warehouse means transferring historical or inactive data from Salesforce into another system that can store large amounts of data for analysis or reporting purposes. Moving old data out of the CRM into a data warehouse can help the Advancement office retain all contact data and email activity, including IER data, but also avoid unnecessary data storage by reducing the amount of data in Salesforce and improving performance and efficiency. Creating a Force.com Query Plan for old data, using Data Studio to process old data, or using Data Loader to export old data are not data management strategies that can meet the Advancement office's needs. Reference:
https://developer.salesforce.com/docs/atlas.en-us.salesforce_large_data_volumes_bp.meta/salesforce_large_data_volumes_bp/ldv_deployments_introduction.htm
https://help.salesforce.com/s/articleView?id=sf.mc_co_data_management_best_practices.htm&type=5
NEW QUESTION # 157
A university plans to use a sandbox for staff training. Since sandbox environments contain personal information, the university needs a solution that will keep sensitive information anonymous.
What should the consultant recommend to ensure that student information remains private?
Answer: B
Explanation:
Salesforce Data Mask is a solution that the consultant can recommend to ensure that student information remains private in a sandbox environment. Salesforce Data Mask allows the consultant to anonymize or delete sensitive data in a sandbox, such as names, emails, phone numbers, and addresses. Salesforce Data Mask also preserves the data relationships and functionality, so the sandbox can still be used for staff training. Formula Fields, Event Monitoring, and Salesforce Shield are not solutions that can keep sensitive information anonymous in a sandbox. Reference:
https://help.salesforce.com/s/articleView?id=sf.data_mask.htm&type=5
https://www.salesforce.com/products/platform/features/data-mask/
NEW QUESTION # 158
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