Salesforce인증 Plat-Arch-201시험을 패스하기 위하여 잠을 설쳐가며 시험준비 공부를 하고 계신 분들은 이 글을 보는 즉시 공부방법이 틀렸구나 하는 생각이 들것입니다. Pass4Test의Salesforce인증 Plat-Arch-201덤프는 실제시험을 대비하여 제작한 최신버전 공부자료로서 문항수도 적합하여 불필요한 공부는 하지 않으셔도 되게끔 만들어져 있습니다.가격도 착하고 시험패스율 높은Pass4Test의Salesforce인증 Plat-Arch-201덤프를 애용해보세요. 놀라운 기적을 안겨드릴것입니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Salesforce Data Management | 25% | - Describe the considerations for data migration - Describe the considerations for data governance - Describe the considerations for data archival - Describe the implications of LDV on data management |
| Topic 2: Data Governance | 10% | - Describe the considerations for data quality - Describe the elements of a data governance framework - Describe the considerations for data classification |
| Topic 3: Data Migration | 15% | - Describe the considerations for data migration - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration |
| Topic 4: 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 5: 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 6: Master Data Management | 5% | - Describe the methods for aligning data across systems - Describe the considerations for a Master Data Management strategy |
제일 간단한 방법으로 가장 어려운 문제를 해결해드리는것이Pass4Test의 취지입니다.Salesforce인증 Plat-Arch-201시험은 가장 어려운 문제이고Pass4Test의Salesforce인증 Plat-Arch-201 덤프는 어려운 문제를 해결할수 있는 제일 간단한 공부방법입니다. Pass4Test의Salesforce인증 Plat-Arch-201 덤프로 시험준비를 하시면 아무리 어려운Salesforce인증 Plat-Arch-201시험도 쉬워집니다.
질문 # 189
Which integration pattern is synchronous?
정답：B
설명：
The client waits for a response.
질문 # 190
Universal Containers is integrating a new Opportunity engagement system with Salesforce.
According to their Master Data Management strategy, Salesforce is the system of record for Account, Contact, and Opportunity data. However, there does seem to be valuable Opportunity data in the new system that potentially conflicts with what is stored in Salesforce. What is the recommended course of action to appropriately integrate this new system?
정답：D
설명：
The recommended course of action to appropriately integrate the new Opportunity engagement system with Salesforce is to bring the stakeholders together to discuss the appropriate data strategy moving forward. This is because there may be valuable data in both systems that need to be reconciled and harmonized, and the Master Data Management (MDM) strategy may need to be revised or updated to accommodate the new system. The other options are not recommended, as they may result in data loss, inconsistency, or duplication.
질문 # 191
Cloud Kicks needs to purge detailed transactional records from Salesforce. The data should be aggregated at a summary level and available in Salesforce. What are two automated approaches to fulfill this goal? (Choose two.)
정답：B,C
설명：
Both A and B are automated approaches to purge detailed transactional records from Salesforce and aggregate them at a summary level. You can use a third-party integration tool (ETL) or schedulable batch Apex to perform these tasks.
질문 # 192
Cloud Kicks stores Invoice records in a custom object. Invoice records are being sent to the Accounting department with missing States and incorrectly formatted Postal Codes. Which two actions should Cloud Kicks take to improve data quality? (Choose two.)
정답：A,D
설명：
Utilizing a Validation Rule with a REGEX operator on Postal Code and utilizing a Validation Rule with a CONTAINS operator on address fields are two actions that Cloud Kicks should take to improve data quality for their Invoice records. A Validation Rule with a REGEX operator can check if the Postal Code field matches a specific pattern or format, such as a five-digit number or a combination of letters and numbers. A Validation Rule with a CONTAINS operator can check if the address fields contain certain values, such as valid state abbreviations or country names.
These Validation Rules can prevent users from saving invalid or incomplete data and display error messages to guide them to correct the data. The other options are not effective or recommended for improving data quality, as they would either require additional customization, not enforce data standards, or not address the specific issues of missing states and incorrectly formatted postal codes
질문 # 193
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions.
DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office.
DreamHouse Realty has created hundreds of thousands of Transactions per year. A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist. What are two important considerations for the Data Architect in this scenario?
(Choose two.)
정답：A,B
설명：
The Data Architect should consider the limitations on Org data storage and the Bulk API limitations on picklist fields when denormalizing the data model into a single Transaction object with a Branch Office picklist. The Org data storage limit is the total amount of data that can be stored in a Salesforce Org, and it depends on the edition and license type of the Org. The Bulk API limit on picklist fields is the maximum number of values that can be imported or exported using the Bulk API, and it is 1,000 values per picklist field. These limitations could affect the performance and scalability of the data model, and the Data Architect should plan accordingly.
질문 # 194
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