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Salesforce Certified Data Architect Questions 91–95 (page: 20)

Updated On: 9-Feb-2026

Which three characteristics of a Skinny table help improve report and query performance?

  1. Skinny tables can contain frequently used fields and thereby help avoid joins.
  2. Skinny tables can be used to create custom indexes on multi-select picklist fields.
  3. Skinny tables provide a view across multiple objects for easy access to combined data.
  4. Skinny tables are kept in sync with changes to data in the source tables.
  5. Skinny tables do not include records that are available in the recycle bin.

Answer(s): A,C,D



Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level.
What is the recommended solution to address these requirements?

  1. Use roll-up for the line-item-level summary and a trigger for the opportunity amount summary, as only one level roll-up is allowed.
  2. Update the master-detail relationships to lookup relationships in order to allow the discount amount to roll up.
  3. Remove the master-detail relationships and rely completely on workflow/triggers to summarize the discount amount.
  4. Roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level.

Answer(s): D



Which two best practices should be followed when using SOSL for searching?

  1. Use searches against single Objects for greater speed and accuracy.
  2. Keep searches specific and avoid wildcards where possible.
  3. Use SOSL option to ignore custom indexes as search fields are pre-indexed.
  4. Use Find in "ALL FIELDS" for faster searches.

Answer(s): B,D



Universal Containers (UC) maintains a collection of several million Account records that represent business in the United Sates. As a logistics company, this list is one of the most valuable and important components of UC's business, and the accuracy of shipping addresses is paramount. Recently it has been noticed that too many of the addresses of these businesses are inaccurate, or the businesses don't exist.
Which two scalable strategies should UC consider to improve the quality of their Account addresses?

  1. Contact each business on the list and ask them to review and update their address information.
  2. Build a team of employees that validate Accounts by searching the web and making phone calls.
  3. Integrate with a third-party database or services for address validation and enrichment.
  4. Leverage Data.com Clean to clean up Account address fields with the D&B database.

Answer(s): C,D



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?

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

Answer(s): D



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