Data-Architect試験無料問題集「Salesforce Certified Data Architect 認定」

Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org.
UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers

正解:B,D,E 解答を投票する
解説: (GoShiken メンバーにのみ表示されます)
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
(Choose two.)

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers would like to remove data silos and connect their legacy CRM together with their ERP and with Salesforce. Most of their sales team has already migrated to Salesforce for daily use, although a few users are still on the old CRM until some functionality they require is completed. Which two techniques should be used for smooth interoperability now and in the future.

解説: (GoShiken メンバーにのみ表示されます)
Universal Container require all customers to provide either a phone number of an email address when registering for an account.
What should the data architect use to ensure this requirement is met?

解説: (GoShiken メンバーにのみ表示されます)
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items.
The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

解説: (GoShiken メンバーにのみ表示されます)
Universal Container (UC) stores 10 million rows of inventory data in a cloud database, As part of creating a connected experience in Salesforce, UC would like to this inventory data to Sales Cloud without a import. UC has asked its data architect to determine if Salesforce Connect is needed.
Which three consideration should the data architect make when evaluating the need for Salesforce Connect?

正解:A,C,D 解答を投票する
解説: (GoShiken メンバーにのみ表示されます)
UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled.
What should a data architect recommend to ensure data quality is maintained in salesforce.

解説: (GoShiken メンバーにのみ表示されます)
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?

解説: (GoShiken メンバーにのみ表示されます)
Northern Trail Outfitters has these simple requirements for a data export process:
File format should be in CSV.
Process should be scheduled and run once per week.
The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

解説: (GoShiken メンバーにのみ表示されます)
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?

解説: (GoShiken メンバーにのみ表示されます)
Universal Containers (UC) has 50 million customers and stores customer order history on an ERP system. UC also uses Salesforce to manage opportunities and customer support.
In order to provide seamless customer support, UC would like to see the customer's order history when viewing the customer record during a sales or support call.
What should a data architect do in order to provide this functionality, while preserving the user experience?

解説: (GoShiken メンバーにのみ表示されます)
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?

解説: (GoShiken メンバーにのみ表示されます)
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?

解説: (GoShiken メンバーにのみ表示されます)
DreamHouse Realty has a legacy system that captures Branch Offices and Transactions. DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office. DreamHouse Realty has created hundreds of thousands of Transactions per year.
A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist.
What are two important considerations for the Data Architect in this scenario? (Choose two.)

解説: (GoShiken メンバーにのみ表示されます)