Data-Architect試験の準備方法｜素敵なData-Architect復習資料試験｜信頼的なSalesforce Certified Data Architect日本語版トレーリング

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世の中に去年の自分より今年の自分が優れていないのは立派な恥です。それで、IT人材として毎日自分を充実して、Data-Architect問題集を学ぶ必要があります。弊社のData-Architect問題集はあなたにこのチャンスを全面的に与えられます。あなたは自分の望ましいSalesforce Data-Architect問題集を選らんで、学びから更なる成長を求められます。心はもはや空しくなく、生活を美しくなります。

Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Data Governance and Compliance20%- Data governance framework
  • 1. Data quality standards
  • 2. Compliance and regulatory requirements
  • 3. Data stewardship and ownership
- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data classification and handling
  • 3. Data privacy and security
Data Integration and Master Data Management10%- Master data management
  • 1. MDM strategy and implementation
  • 2. Single source of truth design
  • 3. Data synchronization and consistency
- Integration patterns and tools
  • 1. External data sources and objects
  • 2. Real-time vs batch integration
  • 3. REST, SOAP, and Bulk API usage
Data Modeling and Database Design25%- Design scalable data models
  • 1. Data model optimization for performance
  • 2. Object relationships and cardinality
  • 3. Custom and standard object design
- Indexing and data structure
  • 1. Skinny tables and big objects
  • 2. Query optimization strategies
  • 3. Standard and custom indexes
Salesforce Data Management25%- Data import and export strategies
  • 1. Migration planning and execution
  • 2. Tools: Data Loader, Import Wizard, Bulk API
  • 3. Data validation and cleansing
- Sharing and visibility design
  • 1. Sharing rules, manual sharing, Apex sharing
  • 2. Organization-wide defaults, role hierarchy
  • 3. Data access and security model
Large Data Volume Considerations20%- Performance and scalability
  • 1. Avoiding and resolving data skew
  • 2. Handling millions of records
  • 3. Governor limits and bulk processing
- Storage and optimization
  • 1. Archiving and off-platform storage
  • 2. Storage limits and management
  • 3. Performance tuning techniques

>> Data-Architect復習資料 <<

Data-Architect日本語版トレーリング & Data-Architect資格トレーリング

Data-Architectトレーニングクイズが役立つと自信を持って言えます。まず第一に、当社はユーザーのニーズに応じて常に製品を改善しています。学習製品が本当に役立つことを本当に望んでいるなら、私たちのData-Architect学習教材は間違いなくあなたの最良の選択です。あなたはそれより完璧な製品を見つけることはできません。第二に、Data-Architectの学習に関する質問は多くの人々を本当に助けてくれました。これらの高齢者の経験を見ると、Data-Architect試験に合格することを強く決意していると思います。

Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q37-Q42):

質問 # 37
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：A

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 # 38
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1.Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2.NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3.PPS is the trusted source within the NTO for opportunity amount.
4.NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?

正解：B

解説：
Changing the opportunity amount field access to read only for sales users using field level security is the best way to address the overriding issue. This way, the sales users can still view the opportunity amount field but cannot edit it, and PPS can update it as the trusted source


質問 # 39
Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers

正解：A、C


質問 # 40
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents.
UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

正解：A、D

解説：
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits.
They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.


質問 # 41
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

正解：D

解説：
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.


質問 # 42
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Data-Architect日本語版トレーリング: https://www.topexam.jp/Data-Architect_shiken.html

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