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| Section | Objectives |
|---|
| 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
|
| Large Data Volume and Performance | - Scalability considerations
- 1. Indexing and query optimization
- 2. Bulk data processing strategies
|
| Master Data Management (MDM) | - MDM architecture
- 1. Data synchronization approaches
- 2. Golden record design
|
| Data Governance and Management | - Data quality management
- 1. Deduplication strategies
- 2. Data validation rules
- Security and compliance
- 1. Data access controls
- 2. Regulatory compliance considerations
|
| Data Modeling and Database Design | - Salesforce data model design
- 1. Standard and custom objects usage
- 2. Schema design for scalability
- Data modeling concepts
- 1. Normalization and denormalization strategies
- 2. Relational vs. non-relational data design
|
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Real Data-Architect Exams, Data-Architect Real Exam Questions
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Salesforce Certified Data Architect Sample Questions (Q195-Q200):
NEW QUESTION # 195
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. Use metadata API, to extract field attribute information and use the extract to classify and build reports
- B. Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.
- C. Build reports for field information, then export the information to classify and report for Audits.
- D. Create a custom object and field to capture necessary compliance information and build custom reports.
Answer: B
NEW QUESTION # 196
Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers
- A. Data Domain Stewards
- B. Salesforce Administrators
- C. Operational Data Users
- D. Analytics/BI Owners
Answer: A,D
Explanation:
Analytics/BI Owners and Data Domain Stewards are appropriate roles as members of a team that makes decisions on enterprise-wide data governance. Analytics/BI Owners are responsible for defining the business requirements and metrics for data analysis and reporting, and Data Domain Stewards are responsible for defining and enforcing the data quality standards and rules for specific data domains. Salesforce Administrators and Operational Data Users are not suitable roles for this team, as they are more focused on the operational aspects of data management, such as configuration, maintenance, and usage.
NEW QUESTION # 197
Which three characteristics of a Skinny table help improve report and query performance?
- A. Skinny tables are kept in sync with changes to data in the source tables.
- B. Skinny tables do not include records that are available in the recycle bin.
- C. Skinny tables can be used to create custom indexes on multi-select picklist fields.
- D. Skinny tables can contain frequently used fields and thereby help avoid joins.
- E. Skinny tables provide a view across multiple objects for easy access to combined data.
Answer: A,D,E
NEW QUESTION # 198
Universal Containers (UC) plans to implement consent management for its customers to be compliant with General Data Protection Regulation (GDPR). UC has the following requirements:
UC uses Person Accounts and Contacts in Salesforce for its customers.
Data Protection and Privacy is enabled in Salesforce.
Consent should be maintained in both these objects.
UC plans to verify the consent provided by customers before contacting them through email or phone.
Which option should the data architect recommend to implement these requirements?
- A. Build Custom object to store consent information in Person Account and Contact, validate against this object before contacting customers.
- B. Delete contact information from customers who have declined consent to be contacted.
- C. Configure custom fields in Person Account and Contact to store consent provided by customers, and validate consent against the fields.
- D. Use the Consent Management Feature to validate consent provide under the person Account and Contact that is provided by the customer.
Answer: D
NEW QUESTION # 199
The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatID field:
Select id, description, Subject from Task where WhatId!= NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?
- A. Change query to SOSL.
- B. Change the where clause to filter by a deterministic defined value.
- C. Remove description from the requested field set.
- D. Add limit 100 to the query.
Answer: B
Explanation:
According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.
To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3',
'001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.
Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance.
Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.
NEW QUESTION # 200
......
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