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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Large Data Volume Considerations20%- Performance and scalability
  • 1. Governor limits and bulk processing
  • 2. Handling millions of records
  • 3. Avoiding and resolving data skew
- Storage and optimization
  • 1. Archiving and off-platform storage
  • 2. Storage limits and management
  • 3. Performance tuning techniques
Data Modeling and Database Design25%- Design scalable data models
  • 1. Custom and standard object design
  • 2. Data model optimization for performance
  • 3. Object relationships and cardinality
- Indexing and data structure
  • 1. Query optimization strategies
  • 2. Skinny tables and big objects
  • 3. Standard and custom indexes
Salesforce Data Management25%- Data import and export strategies
  • 1. Tools: Data Loader, Import Wizard, Bulk API
  • 2. Data validation and cleansing
  • 3. Migration planning and execution
- Sharing and visibility design
  • 1. Sharing rules, manual sharing, Apex sharing
  • 2. Data access and security model
  • 3. Organization-wide defaults, role hierarchy
Data Governance and Compliance20%- Data lifecycle management
  • 1. Data privacy and security
  • 2. Data classification and handling
  • 3. Data retention and archiving policies
- Data governance framework
  • 1. Compliance and regulatory requirements
  • 2. Data quality standards
  • 3. Data stewardship and ownership
Data Integration and Master Data Management10%- Integration patterns and tools
  • 1. External data sources and objects
  • 2. REST, SOAP, and Bulk API usage
  • 3. Real-time vs batch integration
- Master data management
  • 1. MDM strategy and implementation
  • 2. Data synchronization and consistency
  • 3. Single source of truth design

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Data-Architect Practice Materials & Data-Architect Actual Exam & Data-Architect Test Prep

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Salesforce Certified Data Architect Sample Questions (Q118-Q123):

NEW QUESTION # 118
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?

Answer: A


NEW QUESTION # 119
Northern trail Outfitters (NTO) uses Sales Cloud and service Cloud to manage sales and support processes. Some of NTOs team are complaining they see new fields on their page unsure of which values need be input. NTO is concerned about lack of governance in making changes to Salesforce.
Which governance measure should a data architect recommend to solve this issue?

Answer: B

Explanation:
To solve the issue of lack of governance in making changes to Salesforce, a data architect should recommend creating and managing a data dictionary and setting up a governance process for changes made to common objects. A data dictionary is a document that defines the metadata, structure, and relationship of each object and field in Salesforce. A governance process is a set of rules and procedures that govern how changes are proposed, reviewed, approved, and deployed in Salesforce. These measures will help NTO to maintain consistency, quality, and clarity of their data model and avoid confusion and errors among users. Option A is incorrect because adding description fields to explain why the field is used, and marking the field as required will not prevent unauthorized or unnecessary changes to Salesforce. Option C is incorrect because creating reports to identify which users are leaving blank, and using external data sources to augment the missing data will not address the root cause of the issue, which is the lack of governance in making changes to Salesforce. Option D is incorrect because creating validation rules with error messages to explain why the fields are used will not stop users from seeing new fields on their page that they are unsure of.


NEW QUESTION # 120
In their legacy system. Universal Containers has a monthly accounts receivable report that compiles data from Accounts, Contacts, Opportunities, Orders. and Order Line Items. What difficulty will an architect run into when implementing this in Salesforce?

Answer: D


NEW QUESTION # 121
Which two best practices should be followed when using SOSL for searching?

Answer: B,C

Explanation:
The two best practices that should be followed when using SOSL for searching are: Keep searches specific and avoid wildcards where possible. Use Find in "ALL FIELDS" for faster searches. These best practices are helpful because they optimize the search performance and relevance. For example, keeping searches specific and avoiding wildcards where possible can reduce the number of results returned and improve the search accuracy. Using Find in "ALL FIELDS" for faster searches can leverage Salesforce's pre-defined indexes on common fields and return results more quickly than specifying individual fields.


NEW QUESTION # 122
US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
Which solution should a data architect use to comply with the DR policy?

Answer: B

Explanation:
The best solution to comply with the DR policy is to leverage a 3rd party tool that extract Salesforce data/metadata and stores the information in an external protected system. This solution can help create a backup of Salesforce data and metadata in case of a disaster or data loss event. It can also help restore data from the backup system to Salesforce if needed. There are various 3rd party tools available in the AppExchange or online that offer data backup and recovery services for Salesforce67. Leverage Salesforce weekly exports and store data in flat files on a protected system is not a good solution because it does not include metadata backup and it does not allow granular or automated data recovery. Utilize an ETL tool to migrate data to an on-premise archive solution is not a good solution because it does not include metadata backup and it may require complex data transformations and synchronizations. Write a custom batch job to extract data changes nightly and store in an external protected system is not a good solution because it does not include metadata backup and it may have performance or reliability issues.


NEW QUESTION # 123
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