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The Salesforce Certified Platform Data Architect (Plat-Arch-201) certification exam is one of the top-rated career advancement certifications in the market. This Salesforce Certified Platform Data Architect (Plat-Arch-201) exam dumps have been inspiring beginners and experienced professionals since its beginning. There are several personal and professional benefits that you can gain after passing the Salesforce Plat-Arch-201 Exam. The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Salesforce certified professional community.
| Section | Objectives |
|---|---|
| Topic 1: Salesforce Data Model and Platform Capabilities | - Reporting and analytics considerations - Relationships and schema design - Standard and custom objects |
| Topic 2: Data Management | - Master data management (MDM) concepts - Data quality management - Data governance principles |
| Topic 3: Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Topic 4: Data Integration | - API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies |
| 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 # 246
UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application. Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answer
Answer: A,C,E
Explanation:
Data skew occurs when a large number of child records are associated with a single parent record, or when a single user owns a large number of records. This can cause performance issues and lock contention. To avoid data skew, the data architect should limit assigning one user
10,000 records ownership, limit associating 10,000 opportunities to one account, and limit associating 10,000 records looking up to the same record
NEW QUESTION # 247
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating 15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules. Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)
Answer: A,B
Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce
NEW QUESTION # 248
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?
Answer: C
Explanation:
Data Loader uses external Id fields to match records in the CSV file with records in Salesforce during an upsert operation. If the CSV file contains duplicate external Id values within the same file, Data Loader will throw an error saying "Duplicate Id Specified" and will not process those records. Therefore, it is important to ensure that the CSV file does not have any duplicate external Id values before using Data Loader to upsert records.
NEW QUESTION # 249
UC is planning a massive SF implementation with large volumes of data. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner. What should a data architect do to minimize data load times due to system calculations?
Answer: A
Explanation:
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.
NEW QUESTION # 250
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system. During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?
Answer: D
Explanation:
Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce.
NEW QUESTION # 251
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