さらに、Xhs1991 Data-Architectダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1rIa-4-KA3Y-wsItOy7jY_dzolsMGgsTr
一部の候補者は、自社のData-Architectソフトウェアテストシミュレーターを購入する場合があります。 ソフトバージョンをインストールできるパーソナルコンピューターの台数を尋ねられます。 実際、コンピューターの数に制限はありません。 したがって、Data-Architectソフトウェアテストシミュレータを購入すると、同時にマルチユーザーをサポートします。 無制限にコンピューターにインストールできます。 あなたが訓練学校である場合、教師が気軽に発表して説明するのに適しています。 優れたData-Architectソフトウェアテストシミュレータは合格率が高く、Xhs1991は長期的な協力をお待ちしています。
| Section | Weight | Objectives |
|---|---|---|
| Data Architecture | 20% | - Performance tuning and optimization - Architecture patterns and design principles - Governor limits and bulk processing - Archiving and data lifecycle management |
| Data Governance | 20% | - Data stewardship roles and responsibilities - Data quality standards and metrics - Compliance and regulatory considerations - Data retention and archiving policies |
| Data Integration | 15% | - ETL tools and data migration strategies - Real-time vs batch integration patterns - Handling locks and parallelism during migration - API-based integration (REST, SOAP, Bulk API) - Sharing rules impact on data integration |
| Master Data Management | 20% | - Identity resolution - Data duplication and matching rules - Data cleansing techniques |
| Data Modeling | 25% | - Indexing strategies - Large Data Volumes (LDV) design considerations - Skinny tables for performance optimization - Normalization and denormalization strategies - Big Objects and external objects |
Data-Architect学習教材の最高のブランドは、期待を超えるものだと信じています。彼らSalesforceは仕事をするだけでなく、より深くなり、私たちの生活の布になります。したがって、有名なブランドとしての当社は、Data-Architect実践ガイドの提供に非常に成功しているにもかかわらず、現状に満足することはなく、常にData-Architect試験トレントの内容を常に更新していく所存です。 Data-Architect試験に関する最新情報を保持します。 Data-Architect試験問題を使用すると、Data-Architect試験に合格して夢のような認定を取得できます。
質問 # 97
Universal Containers has two systems. Salesforce and an on -premise ERP system. An architect has been tasked with copying Opportunity records to the ERP once they reach a Closed/Won Stage. The Opportunity record in the ERP system will be read-only for all fields copied in from Salesforce. What is the optimal real- time approach that achieves this solution?
正解：C
解説：
Implementing a workflow rule that sends Opportunity data through Outbound Messaging is the optimal real- time approach that achieves the solution of copying Opportunity records to the ERP once they reach a Closed
/Won Stage. A workflow rule can trigger an Outbound Message when an Opportunity record meets certain criteria, such as having a Closed/Won Stage. An Outbound Message can send data from Salesforce to an external system via SOAP API, without requiring any code. The external system can then process the data and create a read-only record in the ERP system. The other options are not optimal or real-time, as they would either require additional systems or tools, not provide real-time data synchronization, or not meet the frequency requirement
質問 # 98
Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status.
What solution a data architect recommends to give the sales team visibility into order status?
正解：B
解説：
The correct answer is C, leverage Salesforce Connect to bring the order line item from the legacy system to Salesforce. Salesforce Connect is a feature that allows you to integrate external data sources with Salesforce and access them in real time without copying or synchronizing the data. This way, the sales team can view the order status from the ERP system without having access to it. Leveraging Canvas, building batch jobs, or building real-time integration are also possible solutions, but they are more complex and costly than using Salesforce Connect.
質問 # 99
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
Data owner
Security Level, such as confidential
Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?
正解：D
解説：
The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF. Option A is incorrect because using metadata API to extract field attribute information and use the extract to classify and build reports will require additional development effort and may not be up-to-date with the latest changes in SF. Option C is incorrect because creating a custom object and field to capture necessary compliance information and build custom reports will require additional configuration effort and may not be consistent with the actual data elements in SF. Option D is incorrect because building reports for field information, then exporting the information to classify and report for audits will require additional manual effort and may not be accurate or timely.
質問 # 100
NTO processes orders from its website via an order management system (OMS). The OMS stores over 2 million historical records and is currently not integrated with SF. The Sales team at NTO using Sales cloud and would like visibility into related customer orders yet they do not want to persist millions of records directly in Salesforce. NTO has asked the data architect to evaluate SF connect and the concept of data verification. Which 3 considerations are needed prior to a SF Connect implementation?
Choose 3 answers:
正解：B、C、D
解説：
The three considerations needed prior to a SF Connect implementation are to develop an object relationship strategy, identify the external tables to sync into external objects, and assess whether the external data source is reachable via an ODATA endpoint. SF Connect is a feature that allows integrating external data sources with Salesforce using external objects. External objects are similar to custom objects, but they store metadata only and not data. They enable on-demand access to external data via standard Salesforce APIs and user interfaces. To implement SF Connect, a data architect needs to consider how the external objects will relate to other objects in Salesforce, which external tables will be exposed as external objects, and whether the external data source supports ODATA protocol for data access.
質問 # 101
Which two aspects of data does an Enterprise data governance program aim to improve?
正解：A、B
解説：
Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise 2
. Data usability refers to the ease of access, analysis, and interpretation of the data by the end users
質問 # 102
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Data-Architect日本語独学書籍: https://www.xhs1991.com/Data-Architect.html
さらに、Xhs1991 Data-Architectダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1rIa-4-KA3Y-wsItOy7jY_dzolsMGgsTr