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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Master Data Management	5%	- MDM implementation approaches 1. Canonical modeling and hierarchy management 2. Harmonization, consolidation, survivorship rules and thresholds - Golden record and system of truth 1. Establishing single source of truth in single org
Topic 2: Large Data Volumes and Performance	20%	- Storage and scalability planning 1. Data volume growth planning and storage limits - LDV architecture design 1. Data distribution, archiving and partitioning strategies - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks
Topic 3: Data Integration	20%	- External data sources 1. External Objects, OData and virtual data access - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency - Integration patterns and technologies 1. Synchronous vs asynchronous, batch vs real-time 2. APIs, middleware and external systems integration
Topic 4: Data Modeling and Database Design	25%	- Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Data model design for Customer 360 1. Scalable design aligned with security and sharing model 2. Objects, fields, relationships and object features - Metadata management 1. Business dictionary, data lineage, taxonomy and classification
Topic 5: Data Migration	15%	- Migration strategy and planning 1. Assessment, mapping, validation and rollback planning - Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Data quality and validation 1. Cleaning, deduplication and post-migration verification
Topic 6: Data Governance, Quality and Security	15%	- Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data governance framework 1. Policies, standards, ownership and stewardship - Data security and compliance 1. Access control, encryption, compliance and audit

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Salesforce certification Plat-Arch-201 the latest exam questions and answers

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Salesforce Certified Platform Data Architect Sample Questions (Q274-Q279):

NEW QUESTION # 274
Universal Containers (UC) manages Vehicle and Service History in Salesforce. Vehicle (Vehicle__ c) and Service History (Service-History__ c) are both custom objects related through a lookup relationship.
Every week a batch synchronization process updates the Vehicle and Service History records in Salesforce. UC has two hours of migration window every week and is facing locking issues as part of the data migration process.
What should a data architect recommend to avoid locking issues without affecting performance of data migration?

A. Use Bulk API parallel mode for data migration
B. Insert the order in another custom object and use Batch Apex to move the records to Service_ Order__ c object.
C. Change the lookup configuration to "Clear the value of this field" when lookup record is deleted.
D. Use Bulk API serial mode for data migration

Answer: D

Explanation:
According to the official Salesforce guide, using Bulk API serial mode for data migration can help avoid locking issues by processing batches in a single thread. This mode ensures that batches are processed in the order they are received and that only one batch is processed at a time. This reduces the risk of lock contention and deadlocks, especially when updating parent and child records in a lookup relationship. Option B is the correct answer because it suggests using Bulk API serial mode for data migration.

NEW QUESTION # 275
UC is planning a massive SF implementation with large volumes of data. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner. What should a data architect do to minimize data load times due to system calculations?

A. Enable granular locking to avoid "UNABLE _TO_LOCK_ROW" error.
B. Load the data through data loader, and turn on parallel processing.
C. Leverage the Bulk API and concurrent processing with multiple batches
D. Enable defer sharing calculations, and suspend sharing rule calculations

Answer: D

Explanation:
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.

NEW QUESTION # 276
Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level. What is the recommended solution to address these requirements?

A. Use roll-up for the line-item-level summary and a trigger for the opportunity amount summary, as only one level roll-up is allowed.
B. Remove the master-detail relationships and rely completely on workflow/triggers to summarize the discount amount.
C. Roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level.
D. Update the master-detail relationships to lookup relationships in order to allow the discount amount to roll up.

Answer: C

Explanation:
The recommended solution to address the requirements of Universal Containers (UC) is to roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level. This solution would allow UC to show all sums of discounts across line items at an opportunity level using standard roll-up summary fields. Since UC has a multi-level master- detail relationship for opportunities, a custom opportunity line item object, and a custom discount request object, they can use two levels of roll-up summary fields to aggregate the discount amounts from the child objects to the parent objects. For example, they can create a roll-up summary field on the custom line item object to sum up the discount request amounts from the custom discount request object. Then, they can create another roll-up summary field on the opportunity object to sum up the line-item-level summary discounts from the custom line item object.

NEW QUESTION # 277
Salesforce is being deployed in Ursa Major Solar's disparate, multi-system ERP environment.
Ursa major Solar wants to maintain data synchronization between systems. Which two techniques should be used to achieve this goal? (Choose two.)

A. Utilize workbench to update files within systems.
B. Integrate Salesforce with the ERP environment.
C. Utilize an MDM strategy to outline a single source of truth.
D. Build synchronization reports and dashboards.

Answer: B,C

Explanation:
Option A is correct because integrating Salesforce with the ERP environment is a technique to maintain data synchronization between systems. Option C is correct because utilizing an MDM strategy to outline a single source of truth is another technique to ensure data quality and consistency across systems.

NEW QUESTION # 278
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. Change Opportunity Amount field access to Read Only for sales users field-level security.
C. Create a custom field for Opportunity amount that sales users update separating the field that PPS updates.
D. Create a custom field for Opportunity amount that PSS updates separating the field sales user updates.

Answer: B

Explanation:
Changing Opportunity Amount field access to Read Only for sales users field-level security (option C) is the best way to address the overwriting issue, as it prevents sales users from updating the field that is controlled by PPS, and ensures data consistency and accuracy.

NEW QUESTION # 279
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