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| Section | Objectives |
|---|
| Data Governance and Management | - Security and compliance
- 1. Data access controls
- 2. Regulatory compliance considerations
- Data quality management
- 1. Deduplication strategies
- 2. Data validation rules
|
| Large Data Volume and Performance | - Scalability considerations
- 1. Indexing and query optimization
- 2. Bulk data processing strategies
|
| Data Modeling and Database Design | - Salesforce data model design
- 1. Schema design for scalability
- 2. Standard and custom objects usage
- Data modeling concepts
- 1. Relational vs. non-relational data design
- 2. Normalization and denormalization strategies
|
| Data Integration | - Salesforce integration tools
- 1. Platform events and change data capture
- 2. MuleSoft and REST/SOAP APIs
- Integration patterns
- 1. ETL vs real-time integration
- 2. API-based integration strategies
|
| Master Data Management (MDM) | - MDM architecture
- 1. Golden record design
- 2. Data synchronization approaches
|
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2026 Data-Architect Dumps Guide | Efficient Data-Architect Testdump: Salesforce Certified Data Architect
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Salesforce Certified Data Architect Sample Questions (Q89-Q94):
NEW QUESTION # 89
(NTO) has multiple salesforce orgs based on geographical reports (AMER, EMEA, APAC). NTO products are in the AMER org and need to be created in the EMEA and APAC after the products are approved.
Which two features should a data architect recommend to share records between salesforce orgs? Choose 2.
- A. Salesforce connect.
- B. Salesforce 2 Salesforce
- C. Federation search
- D. Change data capture (CDC)
Answer: B,D
Explanation:
The two features that a data architect should recommend to share records between Salesforce orgs are:
Change Data Capture (CDC): This is a feature that publishes change events for changes in Salesforce records, such as create, update, delete, and undelete operations. Change events can be subscribed by external systems or other Salesforce orgs using various tools, such as Platform Events, Streaming API, or CometD. CDC can help keep data in sync between Salesforce orgs in near real time89.
Salesforce to Salesforce (S2S): This is a feature that allows sharing records and related data with other Salesforce orgs that you partner with. You can choose which records and fields to share, and which orgs to share with. You can also accept updates from the other orgs to keep the data consistent10.
Salesforce Connect is not a good feature to share records between Salesforce orgs because it is intended for integrating external data sources with Salesforce using external objects. Federation Search is not a good feature to share records between Salesforce orgs because it is intended for searching across multiple Salesforce orgs without sharing data.
NEW QUESTION # 90
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
- A. Improve reporting performance by creating a custom Visualforce report that is using a cache of the records in the report.
- B. Improve reporting performance by creating a dashboard that is scheduled to run the reports only once per day.
- C. Improve reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.
- D. Improve reporting performance by creating an Apex trigger for the Report object that will pre-fetch data before the report is run.
Answer: C
NEW QUESTION # 91
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. Provide a button so that the agent can quickly open the point of sales system displaying the customer history.
- D. 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.
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 # 92
UC is planning a massive SF implementation with large volumes of dat
a. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.
What should a data architect do to minimize data load times due to system calculations?
- A. Leverage the Bulk API and concurrent processing with multiple batches
- B. Enable granular locking to avoid "UNABLE _TO_LOCK_ROW" error.
- C. Enable defer sharing calculations, and suspend sharing rule calculations
- D. Load the data through data loader, and turn on parallel processing.
Answer: C
NEW QUESTION # 93
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
What should a data architect recommend to solve these performance issues?
- A. Create multiple dummy user and assign leads to them
- B. Assign dummy user last role in role hierarchy
- C. Assign dummy user to highest role in role hierarchy
- D. Periodically delete leads to reduce number of leads
Answer: A
Explanation:
According to the official Salesforce guide1, assigning leads to a single dummy user can cause performance issues and data skew, especially if the dummy user owns more than 10,000 records. Data skew occurs when a single user or a small number of users own a disproportionately large number of records, which can affect query performance and sharing calculations. Option B is the correct answer because it suggests creating multiple dummy users and assigning leads to them, which can distribute the load and reduce data skew. Option A is incorrect because assigning the dummy user to the last role in the role hierarchy does not affect the performance or data skew issues. Option C is incorrect because assigning the dummy user to the highest role in the role hierarchy can worsen the performance and data skew issues, as it will grant access to more users and records. Option D is incorrect because periodically deleting leads can cause data loss and does not address the root cause of the problem.
NEW QUESTION # 94
......
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