2025 RELIABLE DATA-ARCHITECT TEST BOOK - SALESFORCE SALESFORCE CERTIFIED DATA ARCHITECT - VALID RELIABLE DATA-ARCHITECT EXAM LABS

2025 Reliable Data-Architect Test Book - Salesforce Salesforce Certified Data Architect - Valid Reliable Data-Architect Exam Labs

2025 Reliable Data-Architect Test Book - Salesforce Salesforce Certified Data Architect - Valid Reliable Data-Architect Exam Labs

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Salesforce Data-Architect Certification is a valuable credential for anyone interested in pursuing a career in data architecture and management. Salesforce Certified Data Architect certification exam tests candidates on their ability to design and implement data solutions on the Salesforce platform, and passing the exam demonstrates expertise in this area. Certified Data Architects are highly sought-after by employers and can work in a variety of roles, making this certification an excellent investment in your career.

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Salesforce Certified Data Architect Sample Questions (Q104-Q109):

NEW QUESTION # 104
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 recycle bin capability, which guarantees record storage for 15 days after deletion.
  • C. UC can store long-term lead records in custom storage objects to avoid counting against storage limits.
  • D. UC can leverage the Salesforce Data Backup and Recovery feature for data archival needs.

Answer: A

Explanation:
Leveraging a "tier"-based approach to classify the record storage need is a true statement with respect to a data archiving strategy for UC. This approach involves defining different tiers of data based on their usage, value, and retention policies, and then applying appropriate storage and archiving solutions for each tier.


NEW QUESTION # 105
Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?

  • A. Use Formula fields to surface information I related entities on the report.
  • B. Use an indexed data field with bounded data filters.
  • C. Use unbounded date ranges to filter the report.
  • D. Use triggers to populate denormalized related fields on the Account.

Answer: A,B

Explanation:
Using an indexed data field with bounded data filters can improve the report performance by making the query more selective and reducing the number of records to scan. Using formula fields to surface information from related entities on the report can also enhance the report performance by avoiding joins and complex calculations


NEW QUESTION # 106
Which three characteristics of a skinny table help improve report and query performance?

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

Answer: A,D,E

Explanation:
The three characteristics of a Skinny table that help improve report and query performance are: Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries4. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data5. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.


NEW QUESTION # 107
A company wants to document the data architecture of a Salesforce organization.
What are two valid metadata types that should be included? (Choose two.)

  • A. Document
  • B. RecordType
  • C. CustomField
  • D. SecuritySettings

Answer: B,C

Explanation:
Option A is correct because RecordType is a valid metadata type that should be included in documenting the data architecture of a Salesforce organization1. RecordType defines different business processes, picklist values, and page layouts for different users2. Option C is correct because CustomField is another valid metadata type that should be included in documenting the data architecture of a Salesforce organization1. CustomField defines custom attributes for standard or custom objects3. Option B is not correct because Document is not a valid metadata type, but a standard object that stores documents in folders4. Option D is not correct because SecuritySettings is not a valid metadata type, but a setup menu that allows administrators to configure various security features such as password policies, network access, session settings, etc.


NEW QUESTION # 108
NTO has a loyalty program to reward repeat customers. The following conditions exists:
1.Reward levels are earned based on the amount spent during the previous 12 months.
2.The program will track every item a customer has bought and grant them points for discount.
3.The program generates 100 million records each month.
NTO customer support would like to see a summary of a customer's recent transaction and reward level(s) they have attained.
Which solution should the data architect use to provide the information within the salesforce for the customer support agents?

  • A. Capture the reward program data in an external data store and present the 12 months trailing summary in salesforce using salesforce connect and then external object.
  • B. Create a custom big object to capture the reward program data and display it on the contact record and update nightly from the point-of-scale system.
  • C. Create a custom object in salesforce to capture and store all reward program. Populate nightly from the point-of-scale system, and present on the customer record.
  • D. Provide a button so that the agent can quickly open the point of sales system displaying the customer history.

Answer: B

Explanation:
According to the Get Started with Big Objects unit on Trailhead, one of the use cases for custom big objects is to store and manage loyalty program data for customers. The unit states that "From loyalty programs to transactions, order, and billing information, use a custom big object to keep track of every detail." Therefore, a custom big object can be used to capture the reward program data and display it on the contact record.
Additionally, according to the Big Objects Implementation Guide, big objects can handle massive amounts of data (up to billions of records) and can be updated nightly from external systems using Bulk API or batch Apex. Therefore, a custom big object can meet the requirements of NTO's loyalty program scenario.


NEW QUESTION # 109
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