ハイパスレートのData-Architect赤本勉強 &合格スムーズData-Architect日本語試験情報 |ハイパスレートのData-Architect技術試験

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今、私たちSalesforceは非常に競争の激しい世界に住んでいます。あなたがまともな仕事を見つけて高い給料を稼ぎたいなら、あなたは優れた能力と豊富な知識を所有していなければなりません。この状況では、Data-Architectガイドトレントを所有することは非常に重要です。特定の分野で優れた能力を習得し、仕事をうまく処理できるからです。私たちが提供するData-Architect試験準備は、Data-Architect試験に合格し、簡単にData-Architect試験トレントを所有するという夢を実現するのに役立ちます。

Salesforce Data-Architect認定試験は、Salesforceデータアーキテクチャのコンセプト、ベストプラクティス、実装戦略に深い理解が必要な厳しいテストです。この試験は、Salesforceプラットフォーム内で複雑なデータアーキテクチャを設計、実装、管理する方法に関する候補者の知識を試験するために設計されています。この試験は、データモデリング、データ統合、データ移行、データガバナンス、データセキュリティなどのトピックをカバーしています。

Data-Architect赤本勉強

Data-Architect日本語試験情報 Data-Architect技術試験

GoShikenに提供されている資料はIT認定試験に対して10年過ぎの経験を持っているプロフェッショナルによって研究と実践を通じて作成し出されたものです。GoShikenは最新かつ最も正確な試験Data-Architect問題集を用意しておきます。GoShikenは皆さんの成功のために存在しているものですから、GoShikenを選択することは成功を選択するのと同じです。順調にIT認定試験に合格したいなら、GoShikenはあなたの唯一の選択です。

Salesforce Certified Data Architectは、Salesforceプラットフォームで効果的なデータソリューションを設計および実装するために必要なスキルと知識を検証するように設計された名誉ある認定プログラムです。この認定プログラムは、データアーキテクチャと管理の分野でキャリアを促進しようとしている専門家に最適です。 Salesforce Certified Data Architect認定は世界的に認識されており、業界の雇用主によって高く評価されています。

Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q182-Q187):

質問 # 182
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

A. A middleware solution that extracts and distributes data across both the hub and spokes.
B. A backup and archive solution that extracts and restores data across orgs.
C. Develop custom APIs to poll the spoke for change data and push into the org.
D. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.

正解：A

解説：
According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs. The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
To orchestrate data between the hub org and spoke orgs, a data architect should use:
A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.

質問 # 183
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

A. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
B. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.
C. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.
D. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy.

正解：B

質問 # 184
Universal Containers uses Apex jobs to create leads in Salesforce. The business team has requested that lead creation failures should be reported to them.
Which option does Apex provide to report errors from this Apex job?

A. Use Apex services to email failures to business when error occurs.
B. Use AppExchange package to clean lead information before Apex job processes them.
C. Save Apex errors in a custom object, and allow access to this object for reporting.
D. Use Custom Object to store leads, and allow unprocessed leads to be reported.

正解：A

解説：
saving Apex errors in a custom object can be a way to report errors from an Apex job. The article provides an example of how to create a custom object called AsyncApexError__c and use a trigger to insert error records into it. The custom object can then be used for reporting or notification purposes.

質問 # 185
How can an architect find information about who is creating, changing, or deleting certain fields within the past two months?

A. Export the metadata and search it for the fields in question.
B. Create a field history report for the fields in question.
C. Export the setup audit trail and find the fields in question.
D. Remove "customize application" permissions from everyone else.

正解：C

質問 # 186
Northern Trail Outfitters NTO is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

A. Unidirectional integration
B. Bidirectional integration
C. Virtualization
D. Persistence

正解：C

質問 # 187
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Data-Architect日本語試験情報: https://www.goshiken.com/Salesforce/Data-Architect-mondaishu.html

さらに、GoShiken 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=1v_dYZd-Q0Nnur9XKBr7__41XF1WXL2-H