Salesforce Data-Architect Latest Exam Notes | Actual Data-Architect Test

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Salesforce Data-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Salesforce Data Management	25%	- 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. Organization-wide defaults, role hierarchy 3. Data access and security model
Data Integration and Master Data Management	10%	- Integration patterns and tools 1. REST, SOAP, and Bulk API usage 2. External data sources and objects 3. Real-time vs batch integration - Master data management 1. Data synchronization and consistency 2. Single source of truth design 3. MDM strategy and implementation
Large Data Volume Considerations	20%	- Storage and optimization 1. Performance tuning techniques 2. Archiving and off-platform storage 3. Storage limits and management - Performance and scalability 1. Avoiding and resolving data skew 2. Handling millions of records 3. Governor limits and bulk processing
Data Governance and Compliance	20%	- Data governance framework 1. Data quality standards 2. Compliance and regulatory requirements 3. Data stewardship and ownership - Data lifecycle management 1. Data privacy and security 2. Data retention and archiving policies 3. Data classification and handling
Data Modeling and Database Design	25%	- Indexing and data structure 1. Standard and custom indexes 2. Query optimization strategies 3. Skinny tables and big objects - Design scalable data models 1. Data model optimization for performance 2. Object relationships and cardinality 3. Custom and standard object design

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Salesforce Certified Data Architect Sample Questions (Q209-Q214):

NEW QUESTION # 209
UC is migrating individual customers (B2C) data from legacy systems to SF. There are millions of customers stored as accounts and contacts in legacy database.
Which object model should a data architect configure within SF ?

A. Leverage custom account and contact object in SF
B. Leverage person account object in Salesforce
C. Leverage custom person account object in SF
D. Leverage standard account and contact object in SF

Answer: B

NEW QUESTION # 210
Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error.
Which solution should a data architect recommend to resolve the error?

A. Perform a batch job in serial mode and reduce the batch size.
B. Perform a batch job in parallel mode and reduce the batch size.
C. Defer rollup summary field calculation during data migration.
D. Leverage Data Loader's platform API to load data.

Answer: A

Explanation:
According to the Salesforce documentation1, the "UNABLE _TO_LOCK_ROW" error occurs when a record is being updated or created, and another operation tries to access or update the same record at the same time. This can cause lock contention and timeout issues. To resolve the error, some of the recommended solutions are:
Perform a batch job in serial mode and reduce the batch size (option B). This means running the batch job one at a time and processing fewer records per batch. This can reduce the chances of concurrent updates and lock contention on the same records.
Use the FOR UPDATE keyword to lock records in Apex code or API calls. This means explicitly locking the records that are being accessed or updated by a transaction, and preventing other transactions from modifying them until the lock is released. This can avoid conflicts and errors between concurrent operations on the same records2.
Defer rollup summary field calculation during data migration (option A). This means disabling the automatic calculation of rollup summary fields on the parent object when child records are inserted or updated. This can improve performance and avoid locking issues on the parent records. However, this option is only available for custom objects, not standard objects3.
Performing a batch job in parallel mode and reducing the batch size (option C) is not a good solution, as it can still cause lock contention and errors if multiple batches try to access or update the same records at the same time. Leveraging Data Loader's platform API to load data (option D) is also not a good solution, as it can still encounter locking issues if other operations are modifying the same records at the same time.

NEW QUESTION # 211
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.)

A. Make sure the query doesn ' t contain NULL in any filter criteria.
B. Create custom indexes on the fields used in the filter criteria.
C. Create a formula field instead of having multiple filter criteria.
D. Modify the integration users ' profile to have View All Data.

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 # 212
Northern Trail Outfitters (NTO) has implemented Salesforce for its sales users. The opportunity management in Saiesforce Is implemented as follows:
1. Sales users enter their opportunities in Salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update the Opportunity Amount field on opportunities on a daily basis.
3. PPS is the trusted source within NTO for Opportunity Amount.
4. NTO uses Opportunity Forecast for its sales planning and management.
Sales users have noticed that their updates to the Opportunity Amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overwriting issue?

A. Change PSS integration to update only Opportunity Amount field when the value is null.
B. Create a custom field for Opportunity amount that sales users update separating the field that PPS updates.
C. Change Opportunity Amount field access to Read Only for sales users field-level security.
D. Create a custom field for Opportunity amount that PSS updates separating the field sales user updates.

Answer: C

NEW QUESTION # 213
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

Explanation:
The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF. Option A is incorrect because using metadata API to extract field attribute information and use the extract to classify and build reports will require additional development effort and may not be up-to-date with the latest changes in SF. Option C is incorrect because creating a custom object and field to capture necessary compliance information and build custom reports will require additional configuration effort and may not be consistent with the actual data elements in SF. Option D is incorrect because building reports for field information, then exporting the information to classify and report for audits will require additional manual effort and may not be accurate or timely.

NEW QUESTION # 214
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