Data-Architectトレーニング資料、Data-Architect模擬試験

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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Data Governance	20%	- Data quality standards and metrics - Compliance and regulatory considerations - Data stewardship roles and responsibilities - Data retention and archiving policies
Master Data Management	20%	- Identity resolution - Data cleansing techniques - Data duplication and matching rules
Data Modeling	25%	- Big Objects and external objects - Indexing strategies - Normalization and denormalization strategies - Large Data Volumes (LDV) design considerations - Skinny tables for performance optimization
Data Architecture	20%	- Architecture patterns and design principles - Archiving and data lifecycle management - Governor limits and bulk processing - Performance tuning and optimization
Data Integration	15%	- ETL tools and data migration strategies - Sharing rules impact on data integration - API-based integration (REST, SOAP, Bulk API) - Handling locks and parallelism during migration - Real-time vs batch integration patterns

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Data-Architect模擬試験、Data-Architect日本語版参考資料

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Salesforce Certified Data Architect 認定 Data-Architect 試験問題 (Q118-Q123):

質問 # 118
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to 24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?

A. Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.
B. Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.
C. Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
D. Create a custom object to track shipment requests with five lookup custom fields for each item being shipped Implement an archiving process that moves data off-platform after three years.

正解：A

解説：
The recommended solution for the Cloud Kicks Data Architect to address the requirements is to create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years. This solution would allow Cloud Kicks to store and manage their shipment data on Salesforce, and use Salesforce reports to analyze it. However, since Cloud Kicks expects a large volume of data over time, they should implement an archiving process that moves data off-platform after three years to avoid hitting the Org data storage limit and maintain optimal performance3. External objects are not a good option for this scenario, because they are stored off-platform in an external system, such as Heroku's Postgres database, and they have limited functionality and performance compared to custom objects

質問 # 119
NTO has multiple systems across its enterprise landscape including salesforce, with disparate version the customer records.
In salesforce, the customer is represented by the contact object.
NTO utilizes an MDM solution with these attributes:
1.The MDM solution keeps track of customer master with a master key.
2.The master key is a map to the record ID's from each external system that customer data is stored within.
3.The MDM solution provides de-duplication features, so it acts as the single source of truth.
How should a data architect implement the storage of master key within salesforce?

A. Store the master key in Heroku postgres and use Heroku connect for synchronization.
B. Create an external object to store the master key with a lookup field to contact.
C. Store the master key on the contact object as an external ID (Field for referential imports)
D. Create a custom object to store the master key with a lookup field to contact.

正解：C

解説：
The best way to implement the storage of master key within Salesforce is to store it on the contact object as an external ID field for referential imports. This way, the data architect can use the master key as a unique identifier to match records from different systems and avoid duplicates. The other options are not feasible because they either require additional storage or do not support referential imports.

質問 # 120
NTO would like to retrieve their SF orgs meta data programmatically for backup within a various external. Which API is the best fit for accomplishing this task?

A. Bulk API in serial mode
B. SOAP API
C. Metadata API
D. Tooling API

正解：C

解説：
The best API for retrieving Salesforce org metadata programmatically is the Metadata API. The Metadata API provides access to the metadata that defines the structure and configuration of an org, such as custom objects, fields, workflows, security settings, etc. It also supports deploying, retrieving, creating, updating, and deleting metadata components. The Metadata API can be used with various tools, such as Ant, Workbench, or IDEs.

質問 # 121
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?

A. Create a new Lightning Component that displays last humidity and temperature data for a specific container and can also display historical trends obtaining relevant data from UC's existing data warehouse.
B. Create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour.
C. Create new custom fields for temperature and humidity in the existing Container custom object, as well as an external ID field that is unique for each container. These custom fields are updated when a new measure is received.
D. Create a new Container Reading custom object, which is created when a new measure is received for a specific container. The Container Reading custom object has a master-detail relationship to the container object.

正解：B

質問 # 122
A large automobile company has implemented Salesforce for its sales associates. Leads flow from its website to Salesforce using a batch integration in Salesforce. The batch job converts the leads to Accounts in Salesforce. Customers visiting their retail stores are also created in Salesforce as Accounts.
The company has noticed a large number of duplicate Accounts in Salesforce. On analysis, it was found that certain customers could interact with its website and also visit the store. The sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which option should a data architect choose to implement to avoid duplicates?

A. Build a custom search functionality that allows sales associates to search for customer in real time upon visiting their retail stores.
B. Develop an Apex class that searches for duplicates and removes them nightly.
C. leverage duplicate rules in Salesforce to validate duplicates during the account creation process.
D. Implement an MDM solution to validate the customer information before creating Salesforce.

正解：C

質問 # 123
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