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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Migration | 15% | - Describe the considerations for data migration - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality |
| Topic 2: Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
| Topic 3: Large Data Volumes | 20% | - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV - Describe the considerations for Large Data Volumes (LDV) |
| Topic 4: Data Governance | 10% | - Describe the elements of a data governance framework - Describe the considerations for data classification - Describe the considerations for data quality |
| Topic 5: Salesforce Data Management | 25% | - Describe the considerations for data migration - Describe the considerations for data archival - Describe the implications of LDV on data management - Describe the considerations for data governance |
| Topic 6: Data Modeling/Database Design | 25% | - Describe the implications of LDV on data modeling - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects - Describe the options and considerations for Large Data Volumes (LDV) |
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NEW QUESTION # 247
What is the main purpose of Big Objects?
Answer: C
Explanation:
Big Objects handle billions of records.
NEW QUESTION # 248
Which three characteristics of a skinny table help improve report and query performance?
Answer: A,B,D
Explanation:
The three characteristics of a Skinny table that help improve report and query performance are:
Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.
NEW QUESTION # 249
Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status. What solution a data architect recommends to give the sales team visibility into order status?
Answer: D
Explanation:
The correct answer is C, leverage Salesforce Connect to bring the order line item from the legacy system to Salesforce. Salesforce Connect is a feature that allows you to integrate external data sources with Salesforce and access them in real time without copying or synchronizing the data.
This way, the sales team can view the order status from the ERP system without having access to it. Leveraging Canvas, building batch jobs, or building real-time integration are also possible solutions, but they are more complex and costly than using Salesforce Connect.
NEW QUESTION # 250
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,D
Explanation:
According to the Salesforce documentation, 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 ules 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.
NEW QUESTION # 251
Northern Trail Outfitters (NTO) has multiple Salesforce orgs based on regions. Users need read- only access to customers across all Salesforce orgs. Which feature in Salesforce can be used to provide access to customer records across all NTO orgs?
Answer: B
Explanation:
Salesforce Connect is a feature that allows users to access data from external sources and multiple Salesforce orgs, using either clicks or code. Salesforce Connect can provide read-only access to customer records across all NTO orgs, without replicating or storing the data in Salesforce.
NEW QUESTION # 252
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