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Salesforce Data-Architect(Salesforce Certified Data Architect)試験は、Salesforceプラットフォーム上でのデータソリューションの設計、構築、実装の知識とスキルをテストする認定試験です。データアーキテクトとして、個人はデータアーキテクチャの開発と維持、データの正確性の確保、およびデータのパフォーマンスの最適化に責任を負います。試験は、データモデリング、データガバナンス、データ統合、データセキュリティ、およびデータ移行を含む幅広いトピックをカバーしています。
Salesforce Certified Data Architect認定試験は、データモデリング、データ統合、データガバナンス、データセキュリティ、データ管理など、幅広いトピックをカバーする包括的なテストです。この試験は、Salesforceプラットフォームで複雑なデータソリューションを設計および実装する候補者の能力を評価するように設計されています。この試験は、候補者の知識とスキルをテストする複数選択の質問とパフォーマンスベースのシナリオで構成されています。
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Salesforce Data-ArchItect認定試験は、Salesforceデータの操作に経験があり、Salesforceプラットフォームを深く理解している専門家に最適です。この試験では、データモデリング、データ統合、データガバナンス、データセキュリティ、データ品質など、幅広いトピックをカバーしています。認定試験は、組織のニーズを満たすスケーラブルで非常に利用可能なデータソリューションを設計および実装する候補者の能力をテストするように設計されています。 Salesforce Certified Data-Architect試験に合格することは、専門家がSalesforceデータの管理と最適化に関する専門知識を紹介するのに最適な方法です。
質問 # 186
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?
正解:B
解説:
According to the Salesforce documentation1, 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.
Contact Salesforce support to enable skinny table for cases (option B). This means requesting Salesforce to create a custom table that contains a subset of fields from the Case object that are frequently used or queried. A skinny table can improve reporting performance by avoiding joins between standard and custom fields, omitting soft-deleted records, and leveraging indexes on the fields2.
Create a custom object to store aggregate data and run reports (option A). This means creating a custom object that contains summary or calculated data from the Case object, such as counts, sums, averages, etc. A custom object can improve reporting performance by reducing the number of records and fields that need to be queried and displayed.
Build reports using custom Lightning components (option D). This means creating custom components that use Lightning Web Components or Aura Components frameworks to display report data in Salesforce. A custom component can improve reporting performance by using client-side caching, pagination, lazy loading, or other techniques to optimize data rendering and interaction.
質問 # 187
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
正解:C
解説:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud.
Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud .
質問 # 188
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
(Choose two.)
正解:B、D
解説:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value
質問 # 189
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose
23 answers:
正解:A、C、D
解説:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce
質問 # 190
Universal Containers (UC) needs to run monthly and yearly reports on opportunities and orders for sales reporting. There are 5 million opportunities and 10 million orders. Sales users are complaining that the report will regularly timeout.
What is the fastest and most effective way for a data architect to solve the time-out issue?
正解:A
質問 # 191
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