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Salesforce Plat-Arch-201 Exam Syllabus Topics:

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

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Salesforce Certified Platform Data Architect Sample Questions (Q254-Q259):

NEW QUESTION # 254
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of
10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

A. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
B. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.
C. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
D. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.

Answer: D

Explanation:
Option B is the most appropriate approach for data archiving in this scenario. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year.

NEW QUESTION # 255
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?

A. Sort batches by Name field values.
B. Create indexes on Opportunity object text fields.
C. Order batches by Auto -number field.
D. Group batches by the AccountId field.

Answer: C

Explanation:
Ordering batches by Auto-number field will ensure that the records are processed in a sequential order and avoid any locking issues that might occur when loading related records in parallel mode. Creating indexes, grouping batches by AccountId, or sorting batches by Name field values are not necessary or beneficial for loading Opportunity records using the Bulk API.

NEW QUESTION # 256
A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1. Distributor create sales order in salesforce
2. Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?

A. Add custom fields in Opportunity and use triggers to update prices.
B. Manually update Opportunities with Prices application to distributors.
C. Create lookup to Custom Price object and share with distributors.
D. Configure price Books for each region and share with distributors.

Answer: D

Explanation:
According to the Salesforce documentation, an opportunity is a standard object that represents a potential sale or deal with an account or contact. An opportunity can have products and prices associated with it using price books. A price book is a standard object that contains a list of products and their prices for different regions, currencies, segments, etc. A price book can be shared with different users or groups based on their visibility and access settings.
To model the requirement of implementing a distributor management application in Salesforce, where distributors create sales orders based on product prices applicable to their region, and sales orders are closed once they are fulfilled, a data architect should:
Configure price books for each region and share with distributors (option B). This means creating different price books for different regions with the appropriate products and prices, and sharing them with the distributors who belong to those regions. This way, distributors can create sales orders (opportunities) using the price books that are relevant to their region.

NEW QUESTION # 257
What happens when a lookup relationship parent is deleted?

A. Data is archived
B. System error
C. Child records remain
D. Child records are deleted

Answer: C

Explanation:
Lookup relationships do NOT enforce cascade delete.

NEW QUESTION # 258
UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time. Which 3 options should a data architect recommend to share data between Org A and Org B? Choose 3 answer

A. Leverage middleware tools to bidirectionally send Opportunity data across orgs.
B. Use Salesforce Connect and the cross-org adapter to visualize Opportunities into external objects
C. Develop an Apex class that pushes opportunity data between orgs daily via the Apex schedule.
D. Leverage Heroku Connect and Heroku Postgres to bidirectionally sync Opportunities.
E. Install a 3rd party AppExchange tool to handle the data sharing

Answer: A,B,D

Explanation:
Leveraging Heroku Connect and Heroku Postgres, middleware tools, or Salesforce Connect and the cross-org adapter are all viable options to share data between Org A and Org B in near-real time. Installing a 3rd party AppExchange tool may not provide bidirectional sync or may have additional costs. Developing an Apex class that pushes opportunity data between orgs daily via the Apex schedule may not meet the near-real time requirement.

NEW QUESTION # 259
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