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| Section | Objectives |
|---|---|
| Topic 1: Data Management | - Data quality management - Data governance principles - Master data management (MDM) concepts |
| Topic 2: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 3: Salesforce Data Model and Platform Capabilities | - Standard and custom objects - Reporting and analytics considerations - Relationships and schema design |
| Topic 4: Data Architecture and Design | - Handling large data volume and scalability considerations - Conceptual and logical data modeling - Data modeling best practices in Salesforce |
| Topic 5: Data Integration | - Integration patterns in Salesforce - ETL vs ELT strategies - API-based integration approaches |
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NEW QUESTION # 172
Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?
Answer: B,D
Explanation:
Using an indexed data field with bounded data filters can improve the report performance by making the query more selective and reducing the number of records to scan. Using formula fields to surface information from related entities on the report can also enhance the report performance by avoiding joins and complex calculations
NEW QUESTION # 173
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user. What should a data architect recommend to solve these performance issues?
Answer: B
Explanation:
According to the official Salesforce guide, assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew.
NEW QUESTION # 174
Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting reports in the Salesforce org. Which solution should a data architect recommend to improve reporting performance?
Answer: C
Explanation:
According to the Salesforce documentation, reporting performance can be affected by various factors, such as the volume and complexity of data, the design and configuration of reports and dashboards, the number and type of users accessing the reports, etc. To improve reporting performance, some of the recommended solutions are:
Move data off of the platform and run reporting outside Salesforce, and give access to reports (option C). This means using an external service or tool that can extract, transform, and load (ETL) data from Salesforce to another system or database, such as a data warehouse or a business intelligence platform. This can improve reporting performance by reducing the load and latency on Salesforce, and enabling faster and more flexible reporting and analysis on the external system. Users can access the reports from the external system using a link or an embedded component in Salesforce.
NEW QUESTION # 175
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product. The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?
Answer: B
Explanation:
Creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.
NEW QUESTION # 176
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,D
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 # 177
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