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Salesforce Data-Architect Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe techniques to represent a single view of the customer on the Salesforce platform
  • Recommend appropriate techniques and methods for ensuring high data quality at load time
Topic 2
  • Recommend appropriate approaches and techniques to capture and maintain customer reference & metadata
  • Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce
Topic 3
  • Recommend techniques to ensure data is persisted in a consistent manner
  • Design a data model that scales considering large data volume and solution performance
Topic 4
  • Decide when to use virtualised data and describe virtualised data options
  • Compare and contrast various techniques and considerations for exporting data from Salesforce
Topic 5
  • Recommend approaches and techniques for consolidating data attributes from multiple sources
  • Given a scenario with multiple systems of interaction
Topic 6
  • Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program
  • Discuss criteria and methodology for picking the winning attributes
Topic 7
  • Recommend a design to effectively consolidate and
  • or leverage data from multiple Salesforce instances
  • Compare and contrast various techniques, approaches and considerations

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Salesforce Certified Data Architect Sample Questions (Q98-Q103):

NEW QUESTION # 98
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
Data owner
Security Level, such as confidential
Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?

  • A. Build reports for field information, then export the information to classify and report for Audits.
  • B. Use metadata API, to extract field attribute information and use the extract to classify and build reports
  • C. Create a custom object and field to capture necessary compliance information and build custom reports.
  • D. Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.

Answer: D


NEW QUESTION # 99
Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

  • A. Set the Sharing settings as Public Read Only for the Contact object.
  • B. Set the profile of the users to remove delete permission from the Contact object.
  • C. Create a "before delete" trigger to check if the current user is not the owner.
  • D. Create a validation rule on the Contact object to check if the current user is not the owner.

Answer: C


NEW QUESTION # 100
UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application.
Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answers.

  • A. Limit associating 10000 opportunities to one account.
  • B. Limit assigning one user 10000 records ownership.
  • C. Limit associating 10000 records looking up to same records.
  • D. Assign 10000 opportunities to one account.
  • E. Use picklist fields rather than lookup to custom object.

Answer: A,B


NEW QUESTION # 101
Universal Containers (UC) uses the following Salesforce products:
Sales Cloud for customer management.
Marketing Cloud for marketing.
Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?

  • A. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
  • B. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
  • C. Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.
  • D. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications ;

Answer: D


NEW QUESTION # 102
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?

  • A. Use App Exchange products to classify fields based on policy.
  • B. Build reports for customer information and validate.
  • C. Use data classification metadata fields available in field definition.
  • D. Create a custom picklist field to capture classification of information on customer.

Answer: C


NEW QUESTION # 103
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