Data-Architect学習指導 & Data-Architect日本語練習問題

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Data-Architect試験の準備方法｜真実的なData-Architect学習指導試験｜100％合格率のSalesforce Certified Data Architect日本語練習問題

ご存知のように、Data-Architect証明書は、グローバル市場で非常に高い評価を得ており、大きな影響力を持っています。 しかし、Salesforce証明書を取得する方法は多くの人々にとって頭痛の種になりました。 Data-Architect学習教材はあなたに機会を提供します。 Data-Architect試験の実施を選択すると、あらゆる思いやりのあるサービスを提供できるように最善を尽くします。 当社の製品はお客様の観点から設計されており、採用した専門家が変化する傾向に応じてData-ArchitectのSalesforce Certified Data Architect学習教材を更新し、Data-Architect学習教材の高品質を確保します。

Salesforce Certified Data Architect認定を達成することは、あなたのキャリアに多くの利点を提供することができます。この認定は、Salesforceプラットフォーム内で複雑なデータソリューションの設計と実装に関する専門知識を示しています。さらに、この認定は、競争力のある雇用市場で際立っており、収益の可能性を高めるのに役立ちます。

Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q115-Q120):

質問 # 115
UC is building a salesforce application to track contacts and their respective conferences that they have attended with the following requirements:
1.Contacts will be stored in the standard contact object.
2.Conferences will be stored in a custom conference_ c object.
3.Each contact may attend multiple conferences and each conference may be related to multiple contacts.
How should a data architect model the relationship between the contact and conference objects?

正解：D

解説：
Implementing a Contact Conference junction object with master detail relationship to both contact and conference_c is the correct way to model the relationship between the contact and conference objects, as it allows a many-to-many relationship between them. This means that each contact can attend multiple conferences, and each conference can be related to multiple contacts. Creating a master detail relationship field on either the contact or the conference object would create a one-to-many relationship, which does not meet the requirements. Creating a lookup relationship field on contact object would also create a one-to-many relationship, and would not enforce referential integrity.


質問 # 116
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：D

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 # 117
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：D

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 # 118
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

正解：D

解説：
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract
100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.


質問 # 119
Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc.
Which two recommended approaches would address the above requirement?

正解：A、B

解説：
Using Weekly Export to extract transactional data to on-premise systems and using Event Monitoring to extract event data to on-premise systems are two recommended approaches that would address the security requirement of UC. Weekly Export is a built-in feature that allows UC to download a zip file of their Salesforce data on a weekly basis. Event Monitoring is a tool that allows UC to access detailed information about various events that occur in their Salesforce org, such as logins, logouts, file downloads, etc.


質問 # 120
......

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