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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Master Data Management (MDM)	- MDM architecture 1. Data synchronization approaches 2. Golden record design
Data Modeling and Database Design	- Data modeling concepts 1. Relational vs. non-relational data design 2. Normalization and denormalization strategies - Salesforce data model design 1. Standard and custom objects usage 2. Schema design for scalability
Large Data Volume and Performance	- Scalability considerations 1. Indexing and query optimization 2. Bulk data processing strategies
Data Integration	- Integration patterns 1. ETL vs real-time integration 2. API-based integration strategies - Salesforce integration tools 1. Platform events and change data capture 2. MuleSoft and REST/SOAP APIs
Data Governance and Management	- Data quality management 1. Data validation rules 2. Deduplication strategies - Security and compliance 1. Regulatory compliance considerations 2. Data access controls

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Salesforce Certified Data Architect Sample Questions (Q86-Q91):

NEW QUESTION # 86
Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency? (Choose two.)

A. Run a process that can fill in default values for blank fields.
B. Run a report that shows the percentage of blanks for the important fields.
C. Run one report per key field, grouped by that field, to understand its data variability.
D. Run a report which shows the last time the key fields were updated.

Answer: B,D

Explanation:
Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value

NEW QUESTION # 87
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 do not include records that are available in the recycle bin.
C. Skinny tables are kept in sync with changes to data in the source tables.
D. Skinny tables provide a view across multiple objects for easy access to combined data.
E. Skinny tables can be used to create custom indexes on multi-select picklist fields.

Answer: A,C,D

NEW QUESTION # 88
Get Cloudy Consulting uses an invoicing system that has specific requirements. One requirement is that attachments associated with the Invoice_c custom object be classified by Types (i.e., ""Purchase Order"", ""Receipt"", etc.) so that reporting can be performed on invoices showing the number of attachments grouped by Type.
What should an Architect do to categorize the attachments to fulfill these requirements?

A. Add a ContentType picklist field to the Attachment layout and create additional picklist options.
B. Create a custom object related to the Invoice object with a picklist field for the Type.
C. Create a custom picklist field for the Type on the standard Attachment object with the values.
D. Add additional options to the standard ContentType picklist field for the Attachment object.

Answer: B

NEW QUESTION # 89
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage.
Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?

A. Number of characters in report query.
B. Number of joins used in report query.
C. Number of queries running at a time.
D. Number of records returned by report query.

Answer: B,D

Explanation:
The number of joins used in report query and the number of records returned by report query are two key considerations to make sure the performance of the report is not degraded due to large data volume. The number of joins used in report query affects the complexity and execution time of the query, especially when joining multiple large objects4. The number of records returned by report query affects the amount of data that needs to be processed and displayed by the report engine.

NEW QUESTION # 90
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided to make certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?

A. Use a validation rule for each field that takes the Stage into consideration.
B. Update these Opportunity field definitions in Setup to be required.
C. Update the Opportunity page layout to mark these fields as required.
D. Write an Apex trigger that checks each field when records are saved.

Answer: A

Explanation:
Using a validation rule for each field that takes the Stage into consideration is the simplest approach to handle this new requirement. A validation rule can enforce the field requirements based on the logic and criteria that you define, and display an error message when users try to save a record that does not meet the requirements.
Updating the Opportunity page layout to mark these fields as required will not work because page layouts do not support conditional field requirements. Updating these Opportunity field definitions in Setup to be required will not work because it will apply to all stages and records. Writing an Apex trigger that checks each field when records are saved is not the simplest approach because it requires coding and testing

NEW QUESTION # 91
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