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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Large Data Volumes | 20% | - Describe the considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Describe the features and best practices for LDV |
| Topic 2: Data Modeling/Database Design | 25% | - Describe the considerations when designing a data model for Salesforce - Describe the options and considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Explain the usage of external objects |
| Topic 3: Salesforce Data Management | 25% | - Describe the considerations for data archival - Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data migration |
| Topic 4: Data Migration | 15% | - Describe the tools and best practices for data migration - Describe the implications of data migration on data quality - Describe the considerations for data migration |
| Topic 5: Data Governance | 10% | - Describe the elements of a data governance framework - Describe the considerations for data classification - Describe the considerations for data quality |
| Topic 6: Master Data Management | 5% | - Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems |
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NEW QUESTION # 52
UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs. UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place. What should a data architect suggest to achieve this 360-degree view of the customer?
Answer: B
Explanation:
Consolidating the data from each org into a centralized datastore is the best suggestion to achieve a 360-degree view of the customer. This way, UC can have a single source of truth for all customer data and avoid data silos and inconsistencies. The other options are not feasible because they either require complex integration, additional cost, or data duplication.
NEW QUESTION # 53
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records. Which two approaches should the manager take to achieve this goal? (Choose two.)
Answer: A,B
Explanation:
Acquiring an AppExchange Lead de-duplication application and implementing Salesforce Matching and Duplicate Rules are two approaches that the manager at Cloud Kicks should take to avoid creating duplicate records when importing Leads into Salesforce. An AppExchange Lead de-duplication application can provide additional features and functionality for finding and preventing duplicate Leads during import, such as fuzzy matching, custom rules, mass merge, etc. Salesforce Matching and Duplicate Rules can allow the manager to define how Salesforce identifies duplicate Leads based on various criteria and how users can handle them during import, such as blocking, allowing, or alerting them. The other options are not feasible or effective for avoiding duplicate records, as they would either not work during import, not provide de- duplication capabilities, or require additional customization.
NEW QUESTION # 54
A large insurance provider is looking to implement Salesforce. The following exist.
1. Multiple channel for lead acquisition
2. Duplication leads across channels
3. Poor customer experience and higher costs
On analysis, it found that there are duplicate leads that are resulting to mitigate the issues?
Answer: B,C,D
Explanation:
According to the Salesforce documentation, duplicate leads are leads that have the same or similar information as other leads in Salesforce. Duplicate leads can cause poor customer experience, higher costs, and inaccurate reporting. To mitigate the issues caused by duplicate leads, some of the recommended practices are:
Standardize lead information across all channels (option B). This means using consistent formats, values, and fields for capturing lead data from different sources, such as web forms, email campaigns, or third-party vendors. This can help reduce data quality issues and make it easier to identify and prevent duplicate leads.
Implement a third-party solution to clean and enrich lead data (option D). This means using an external service or tool that can validate, correct, update, and enhance lead data before or after importing it into Salesforce. This can help improve data quality and accuracy, and reduce duplicate leads.
Implement a de-duplication strategy to prevent duplicate leads (option E). This means using Salesforce features or custom solutions that can detect and block duplicate leads from being created or imported into Salesforce. For example, using Data.com Duplicate Management, which allows defining matching rules and duplicate rules for leads and other objects.
NEW QUESTION # 55
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps. What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency? (Choose two.)
Answer: B,D
Explanation:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value
NEW QUESTION # 56
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?
Answer: A
Explanation:
The correct answer is C, create a geolocation custom field to maintain this requirement. A geolocation custom field is a compound field that can store both latitude and longitude information in a single field. It also supports geolocation functions and distance calculations. Creating formula fields or custom fields for latitude and longitude separately would be inefficient and redundant.
Recommending app exchange packages would not be a direct solution to the requirement.
NEW QUESTION # 57
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