素敵Data-Architect｜最新のData-Architect日本語試験情報試験｜試験の準備方法Salesforce Certified Data Architect資格模擬

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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Integration and Master Data Management	10%	- Integration patterns and tools 1. Real-time vs batch integration 2. REST, SOAP, and Bulk API usage 3. External data sources and objects - Master data management 1. MDM strategy and implementation 2. Single source of truth design 3. Data synchronization and consistency
Topic 2: Salesforce Data Management	25%	- Data import and export strategies 1. Migration planning and execution 2. Data validation and cleansing 3. Tools: Data Loader, Import Wizard, Bulk API - Sharing and visibility design 1. Sharing rules, manual sharing, Apex sharing 2. Organization-wide defaults, role hierarchy 3. Data access and security model
Topic 3: Data Governance and Compliance	20%	- Data governance framework 1. Data stewardship and ownership 2. Compliance and regulatory requirements 3. Data quality standards - Data lifecycle management 1. Data privacy and security 2. Data classification and handling 3. Data retention and archiving policies
Topic 4: Large Data Volume Considerations	20%	- Performance and scalability 1. Handling millions of records 2. Governor limits and bulk processing 3. Avoiding and resolving data skew - Storage and optimization 1. Storage limits and management 2. Archiving and off-platform storage 3. Performance tuning techniques
Topic 5: Data Modeling and Database Design	25%	- Indexing and data structure 1. Query optimization strategies 2. Standard and custom indexes 3. Skinny tables and big objects - Design scalable data models 1. Object relationships and cardinality 2. Data model optimization for performance 3. Custom and standard object design

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素敵なData-Architect日本語試験情報 & 合格スムーズData-Architect資格模擬 | 実用的なData-Architect合格内容 Salesforce Certified Data Architect

10年以上のビジネス経験により、当社のData-Architectテストトレントは、顧客の購入体験を非常に重要視していました。電子製品の購入速度を心配する必要はありません。弊社では、Data-Architect試験準備の信頼性を長期間にわたって評価および評価し、保証された購入スキームを提案するために尽力しています。

Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q77-Q82):

質問 # 77
A large telecommunication provider that provides internet services to both residence and business has the following attributes:
A customer who purchases its services for their home will be created as an Account in Salesforce.
Individuals within the same house address will be created as Contact in Salesforce.
Businesses are created as Accounts in Salesforce.
Some of the customers have both services at their home and business.
What should a data architect recommend for a single view of these customers without creating multiple customer records?

A. Costumers are created as Accounts for Residence Account and use Parent Account to relate Business Account.
B. Customers are created as Person Accounts and related to Business and Residential Accounts using the Account Contact relationship.
C. Customer are created as individual objects and relate with Accounts for Business and Residence accounts.
D. Customers are created as Contacts and related to Business and Residential Accounts using the Account Contact Relationships.

正解：D

質問 # 78
Universal Containers has implemented Salesforce for its operations. In order for customers to be created in their MDM solution, the customer record needs to have the following attributes:
1. First Name
2. Last Name
3. Email
Which option should the data architect recommend to mandate this when customers are created in Salesforce?

A. Create validation rules to check If the required attributes are entered.
B. Build validation in Integration with MDM to check required attributes.
C. Configure Page Layout marking attributes as required fields.
D. Mark Fields for the attributes as required under Setup.

正解：A

解説：
Creating validation rules to check if the required attributes are entered is the best option to mandate this when customers are created in Salesforce. Validation rules allow you to specify criteria that must be met before a record can be saved. You can use validation rules to ensure that customers have a first name, last name, and email when they are created in Salesforce. This way, you can prevent incomplete or invalid data from being sent to your MDM solution.

質問 # 79
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce.
Which solution should a data architect recommend as an archiving solution?

A. Build a batch join move all records off platform, and delete all records from Salesforce.
B. Build a batch job to move all restore off platform, and delete old records from Salesforce.
C. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.
D. Use a third-party backup solution to backup all data off platform.

正解：C

解説：
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from Salesforce as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in Salesforce. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from Salesforce, the data architect can reduce the storage consumption and improve the performance of Salesforce org. Option A is incorrect because using a third-party backup solution to backup all data off platform will not free up any storage space in Salesforce, unless the data is also deleted from Salesforce after backup. Option B is incorrect because building a batch job to move all records off platform, and delete all records from Salesforce will result in losing all the current data in Salesforce, which may not be desirable or feasible. Option D is incorrect because building a batch job to move all restore off platform, and delete old records from Salesforce does not make sense, as restore implies restoring data back to Salesforce, not moving it off platform.

質問 # 80
Northern Trail Outfitters (NTO) has an external product master system that syncs product and pricing information with Salesforce. Users have been complaining that they are seeing discrepancies in product and pricing information displayed on the NTO website and Salesforce.
As a data architect, which action is recommended to avoid data sync issues?

A. Use the Customer 360 data manager to sync product and pricing information from product master database to Salesforce.
B. Build a custom integration for one-way sync of product and pricing information from product master to Salesforce.
C. Build a custom integration for two-way sync of product and pricing information between product master to Salesforce.
D. Implement a manual process to update the products from an extract from the products master on a weekly basis.

正解：A

解説：
According to Trailhead2, Customer 360 Data Manager is a feature that allows administrators to connect, reconcile, and share customer data across Salesforce orgs and external systems. Customer 360 Data Manager can sync product and pricing information from product master database to Salesforce using predefined mappings and rules, ensuring data quality and consistency. Option D is the correct answer because it suggests using Customer 360 Data Manager to sync product and pricing information from product master database to Salesforce. Option A is incorrect because building a custom integration for two-way sync of product and pricing information between product master and Salesforce can introduce data conflicts and duplication issues, as both systems can update the same data independently. Option B is incorrect because building a custom integration for one-way sync of product and pricing information from product master to Salesforce can be costly and time-consuming, as it requires custom development and maintenance. Option C is incorrect because implementing a manual process to update the products from an extract from the products master on a weekly basis can result in data latency and errors, as the products information may change more frequently than once a week.

質問 # 81
Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?

A. Use unbounded date ranges to filter the report.
B. Use an indexed data field with bounded data filters.
C. Use triggers to populate denormalized related fields on the Account.
D. Use Formula fields to surface information I related entities on the report.

正解：B、D

解説：
Using an indexed data field with bounded data filters can improve the report performance by making the query more selective and reducing the number of records to scan. Using formula fields to surface information from related entities on the report can also enhance the report performance by avoiding joins and complex calculations

質問 # 82
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