Plat-Arch-201テスト教材は、主に3つの学習モード（Pdf、オンライン、ソフトウェア）をそれぞれ使用します。その中でも、ソフトウェアモデルはコンピューターユーザー向けに設計されており、ユーザーがWindowsインターフェイスを使用して学習のPlat-Arch-201テスト準備を開くことができます。ユーザーが読むのに便利です。 Plat-Arch-201テスト教材には、オンライン学習プラットフォームとは異なる最大の利点があります。Plat-Arch-201クイズトレントは、クライアントにログインして同時に詳細を学習することができ、人々はPlat-Arch-201あらゆる種類の電子機器のテスト準備。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 10% | - Describe the considerations for data quality - Describe the elements of a data governance framework - Describe the considerations for data classification |
| 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: Salesforce Data Management | 25% | - Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data archival - Describe the considerations for data migration |
| Topic 4: Data Migration | 15% | - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration - Describe the considerations for data migration |
| Topic 5: Data Modeling/Database Design | 25% | - Describe the options and considerations for Large Data Volumes (LDV) - Describe the implications of LDV on data modeling - Describe the considerations when designing a data model for Salesforce - Explain the usage of external objects |
| Topic 6: 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 |
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質問 # 91
DreamHouse Realty has a Salesforce org that is used to manage Contacts. What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)
正解：A、B
解説：
Using Salesforce duplicate management and using validation rules on new record create and edit are two things that an architect should consider using to maintain data quality for managing Contacts. Salesforce duplicate management allows the architect to create matching rules and duplicate rules to identify, prevent, or allow duplicate records based on various criteria. Validation rules allow the architect to enforce data quality standards and business logic by displaying error messages when users try to save invalid data. The other options are not relevant or helpful for maintaining data quality
質問 # 92
UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time. Which 3 options should a data architect recommend to share data between Org A and Org B? Choose 3 answer
正解：C、D、E
解説：
Leveraging Heroku Connect and Heroku Postgres, middleware tools, or Salesforce Connect and the cross-org adapter are all viable options to share data between Org A and Org B in near-real time. Installing a 3rd party AppExchange tool may not provide bidirectional sync or may have additional costs. Developing an Apex class that pushes opportunity data between orgs daily via the Apex schedule may not meet the near-real time requirement.
質問 # 93
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation? Choose 3 answer
正解：B、C、D
解説：
Determining if any integration points create records in Salesforce, running key reports to determine what fields should be required, and reviewing the sharing model to determine impact on duplicate records are three areas of Salesforce that the architect should review before proposing any design recommendation. These areas will help to identify the sources and quality of data, the business rules and validations for data entry, and the access and visibility of data across users and roles. Reviewing the metadata xml files for redundant fields to consolidate, and exporting the setup audit trail to review what fields are being used are not necessary steps for optimizing a data stewardship engagement, as they are more related to metadata management and audit tracking.
質問 # 94
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types. Which solution should a data architect use to ensure successful data migrations?
正解：C
解説：
According to this article, migrating the legacy data leveraging an ETL tool to transform data types and load data into Salesforce can be a way to ensure successful data migrations. The article states that ETL tools can help with data cleansing, mapping, transformation, and loading, and that they can handle different data types and formats. The article also provides some best practices for data migration, such as identifying the data to migrate, creating templates for the data, preparing the destination org, and validating the data.
質問 # 95
Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC's business, and the accuracy of shipping addresses is paramount.
Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don't exist. Which two scalable strategies should UC consider to improve the quality of their Account addresses?
正解：B、C
解説：
Integrating with a third-party database or service for address validation and enrichment is a scalable strategy that can improve the quality of the Account addresses by comparing them with a reliable source of data. Leveraging Data.com Clean to clean up Account address fields with the D&B database is another scalable strategy that can automatically update and enrich Account records with verified information from Data.com.
質問 # 96
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