Data-Architecture-And-Management-Designer 試験問題を無料オンラインアクセス

Universal Containers (UC) loads bulk leads and campaigns from third-party lead aggregators on a weekly and monthly basis. The expected lead record volume is 500K records per week, and the expected campaign records volume is 10K campaigns per week. After the upload, Lead records are shared with various sales agents via sharing rules and added as Campaign members via Apex triggers on Lead creation. UC agents work on leads for 6 months, but want to keep the records in the system for at least 1 year for reference. Compliance requires them to be stored for a minimum of 3 years. After that, data can be deleted. What statement is true with respect to a data archiving strategy for UC?

• A.UC can leverage a "tier"-based approach to classify the record storage need.
• B.UC can leverage the Salesforce Data Backup and Recovery feature for data archival needs.
• C.UC can store long-term lead records in custom storage objects to avoid counting against storage limits.
• D.UC can leverage recycle bin capability, which guarantees record storage for 15 days after deletion.

What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:

• A.Data sensitivity policy.
• B.Reference data policy.
• C.Compliance categorization policy.
• D.Data governance policy.

Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

• A.Create one Account and load individual consumers as Contacts linked to that one Account.
• B.Load all individual consumers as Account records and avoid using the Contact object.
• C.Create a Custom Object Individual Consumer c to load all individual consumers.
• D.Load one Account record and one Contact record for each individual consumer.

Universal Container is Implementing salesforce and needs to migrate data from two legacy systems. UC would like to clean and duplicate data before migrate to Salesforce.
Which solution should a data architect recommend a clean migration?

• A.Define external IDs for an object, migrate second database to first database, and load into Salesforce.
• B.Define duplicate rules in Salesforce, and load data into Salesforce from both databases.
• C.Set up staging data base, and define external IDs to merge, clean duplicate data, and load into Salesforce.
• D.Define external IDs for an object, Insert data from one database, and use upsert for a second database

US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
Which solution should a data architect use to comply with the DR policy?

• A.Leverage salesforce weekly exports, and store data in Flat files on a protected system.
• B.Utilize an ETL tool to migrate data to an on-premise archive solution.
• C.Leverage a 3rd party tool that extract salesforce data/metadata and stores the information in an external protected system.
• D.Write a custom batch job to extract data changes nightly, and store in an external protected system.