The Best Salesforce Data-Architect exam practice questions and answers

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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Master Data Management20%- Data duplication and matching rules
- Identity resolution
- Data cleansing techniques
Topic 2: Data Governance20%- Data retention and archiving policies
- Data stewardship roles and responsibilities
- Data quality standards and metrics
- Compliance and regulatory considerations
Topic 3: Data Modeling25%- Skinny tables for performance optimization
- Large Data Volumes (LDV) design considerations
- Normalization and denormalization strategies
- Indexing strategies
- Big Objects and external objects
Topic 4: Data Integration15%- Real-time vs batch integration patterns
- Handling locks and parallelism during migration
- Sharing rules impact on data integration
- API-based integration (REST, SOAP, Bulk API)
- ETL tools and data migration strategies
Topic 5: Data Architecture20%- Archiving and data lifecycle management
- Performance tuning and optimization
- Architecture patterns and design principles
- Governor limits and bulk processing

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Salesforce Certified Data Architect Sample Questions (Q186-Q191):

NEW QUESTION # 186
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are timing out? (Choose two.)

Answer: A,B

Explanation:
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues. Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.


NEW QUESTION # 187
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

Answer: B


NEW QUESTION # 188
What makes Skinny tables fast? Choose three answers.

Answer: A,D,E

Explanation:
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries. Skinny tables have the following characteristics1:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.


NEW QUESTION # 189
Universal Containers has implemented Salesforce for its operations. In order for customers to be created in their MDM solution, the customer record needs to have the following attributes:
1. First Name
2. Last Name
3. Email
Which option should the data architect recommend to mandate this when customers are created in Salesforce?

Answer: C


NEW QUESTION # 190
A large retail company has recently chosen SF as its CRM solution. They have the following record counts:
2500000 accounts
25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow response for reports and list views.
What should a data architect do to solve the performance issue?

Answer: D

Explanation:
The correct answer is B, add custom indexes on frequently searched account and contact object fields. Custom indexes are a way to improve the performance of your queries and reports by creating indexes on specific fields that are often used in filters or joins. By adding custom indexes on frequently searched account and contact object fields, you can speed up the response time for reports and list views. Loading only the data that users are permitted to access, limiting data loading to the 2000 most recent records, or creating a skinny table are also possible solutions, but they are either not feasible, not scalable, or not supported by Salesforce.


NEW QUESTION # 191
......

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