Plat-Arch-201学習クイズの合格率は99％で、Plat-Arch-201実践ガイドは高いヒット率を高めます。当社のPlat-Arch-201テストトレントは専門家によって編集され、Salesforce提供される回答と質問は実際の試験に基づいています。Plat-Arch-201試験問題の内容は、理解して習得するのが簡単です。試験の準備を万全にするために、当社のソフトウェアは、実際の試験を刺激する機能と、速度の調整に役立つタイミング機能を提供します。Plat-Arch-201ガイド急流のこれらのメリットに基づいて、Plat-Arch-201試験に高い確率で合格できます。
| Section | Objectives |
|---|---|
| Topic 1: Salesforce Data Model and Platform Capabilities | - Standard and custom objects - Relationships and schema design - Reporting and analytics considerations |
| Topic 2: Data Management | - Data governance principles - Data quality management - Master data management (MDM) concepts |
| Topic 3: Data Integration | - API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies |
| Topic 4: Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
| Topic 5: Data Architecture and Design | - Conceptual and logical data modeling - Data modeling best practices in Salesforce - Handling large data volume and scalability considerations |
弊社はPlat-Arch-201問題集の英語版と日本語版をリリースしています。英語版と日本語版の内容は同じですけど、言語だけ違いがあります。それなので、Plat-Arch-201に関する英語試験や日本語試験に参加する予定があるご客様は安心に問題集を購入できます。Plat-Arch-201試験のために、気楽に準備したり、参加したりしています。その他、我々のPlat-Arch-201日本語問題集を購入すると、英語版を送ります。
質問 # 241
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights. What are two approaches an Architect should recommend? (Choose two.)
正解：B、D
解説：
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce6.
質問 # 242
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
- 2500000 accounts
- 25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?
正解：B
解説：
The correct answer is B, add custom indexes on frequently searched account and contact object fields. Custom indexes are a way to improve the performance of your queries and reports by creating indexes on specific fields that are often used in filters or joins. By adding custom indexes on frequently searched account and contact object fields, you can speed up the response time for reports and list views. Loading only the data that users are permitted to access, limiting data loading to the 2000 most recent records, or creating a skinny table are also possible solutions, but they are either not feasible, not scalable, or not supported by Salesforce.
質問 # 243
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.)
正解：A、C
解説：
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
質問 # 244
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan? Choose 2 answer
正解：B、D
解説：
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce
質問 # 245
A company needs a many-to-many relationship between Account and Custom Object. What should they use?
正解：C
解説：
A junction object enables many-to-many relationships by using two master-detail relationships.
質問 # 246
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