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| Section | Objectives |
|---|
| 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
|
| Master Data Management (MDM) | - MDM architecture
- 1. Golden record design
- 2. Data synchronization approaches
|
| Data Modeling and Database Design | - Salesforce data model design
- 1. Standard and custom objects usage
- 2. Schema design for scalability
- Data modeling concepts
- 1. Relational vs. non-relational data design
- 2. Normalization and denormalization strategies
|
| Data Governance and Management | - Data quality management
- 1. Data validation rules
- 2. Deduplication strategies
- Security and compliance
- 1. Data access controls
- 2. Regulatory compliance considerations
|
| Large Data Volume and Performance | - Scalability considerations
- 1. Indexing and query optimization
- 2. Bulk data processing strategies
|
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Salesforce Certified Data Architect Sample Questions (Q103-Q108):
NEW QUESTION # 103
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)
- A. Enforce critical business processes by using Workflow, Validation Rules, and Apex code.
- B. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
- C. Schedule reports that will automatically catch duplicates and merge or delete the records every week.
- D. Ensure all data is stored in an external system and set up an integration to Salesforce for view-only access.
Answer: A,B
Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.
NEW QUESTION # 104
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
Data owner
Security Level, such as confidential
Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?
- A. Build reports for field information, then export the information to classify and report for Audits.
- B. Use metadata API, to extract field attribute information and use the extract to classify and build reports
- C. Create a custom object and field to capture necessary compliance information and build custom reports.
- D. Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.
Answer: D
NEW QUESTION # 105
Cloud Kicks stores Invoice records in a custom object. Invoice records are being sent to the Accounting department with missing States and incorrectly formatted Postal Codes.
Which two actions should Cloud Kicks take to improve data quality? (Choose two.)
- A. Write an Apex Trigger to require all fields to be populated.
- B. Change each address field to require on the Page Layout.
- C. Utilize a Validation Rule with a CONTAINS operator on address fields.
- D. Utilize a Validation Rule with a REGEX operator on Postal Code.
Answer: C,D
Explanation:
Utilizing a Validation Rule with a REGEX operator on Postal Code and utilizing a Validation Rule with a CONTAINS operator on address fields are two actions that Cloud Kicks should take to improve data quality for their Invoice records. A Validation Rule with a REGEX operator can check if the Postal Code field matches a specific pattern or format, such as a five-digit number or a combination of letters and numbers. A Validation Rule with a CONTAINS operator can check if the address fields contain certain values, such as valid state abbreviations or country names. These Validation Rules can prevent users from saving invalid or incomplete data and display error messages to guide them to correct the data. The other options are not effective or recommended for improving data quality, as they would either require additional customization, not enforce data standards, or not address the specific issues of missing states and incorrectly formatted postal codes
NEW QUESTION # 106
Universal Container (UC) has around 200,000 Customers (stored in Account object). They get 1 or 2 Orders every month from each Customer. Orders are stored in a custom object called "Order c"; this has about 50 fields. UC is expecting a growth of 10% year -over -year. What are two considerations an architect should consider to improve the performance of SOQL queries that retrieve data from the Order _c object? Choose 2 answers
- A. Work with Salesforce Support to enable Skinny Tables.
- B. Use SOQL queries without WHERE conditions.
- C. Make the queries more selective using indexed fields.
- D. Reduce the number of triggers on Order _c object.
Answer: A,C
NEW QUESTION # 107
All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?
- A. Data flows should be reviewed with the business users to determine the system of record per object or field.
- B. Whatever system updates the attribute or object should be the system of record for that field or object.
- C. Account and opportunity data originates in Salesforce, and therefore Salesforce is the system of record.
- D. Whatever integration data flow runs last will, by default, determine which system is the system of record.
Answer: A
NEW QUESTION # 108
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