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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 2: Data Modeling and Database Design	25%	- 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 - Metadata management 1. Business dictionary, data lineage, taxonomy and classification
Topic 3: 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 4: 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 5: Data Governance, Quality and Security	15%	- Data security and compliance 1. Access control, encryption, compliance and audit - Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data governance framework 1. Policies, standards, ownership and stewardship
Topic 6: Data Integration	20%	- External data sources 1. External Objects, OData and virtual data access - Integration patterns and technologies 1. APIs, middleware and external systems integration 2. Synchronous vs asynchronous, batch vs real-time - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency

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Salesforce Certified Platform Data Architect Sample Questions (Q193-Q198):

NEW QUESTION # 193
Two million Opportunities need to be loaded in different batches into Salesforce using the Bulk API in parallel mode. What should an Architect consider when loading the Opportunity records?

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

Answer: D

Explanation:
Grouping batches by the AccountId field can improve the performance and avoid locking issues when loading Opportunity records using the Bulk API in parallel mode. This is because the AccountId field is indexed and can be used to distribute the records evenly across batches

NEW QUESTION # 194
Northern Trail Outfitters Is planning to build a consent form to record customer authorization for marketing purposes. What should a data architect recommend to fulfill this requirement?

A. Create a custom object to maintain the authorization.
B. Use AppExchange solution to address the requirement.
C. Utilize the Authorization Form Consent object to capture the consent.
D. Use custom fields to capture the authorization details.

Answer: C

Explanation:
The Authorization Form Consent object is a standard object that allows you to capture customer consent for marketing purposes. It has fields such as Consent Captured Date, Consent Captured Source, Consent Description, and Consent Status. You can use this object to create consent forms and track customer responses. This is the best option to fulfill the requirement, as it does not require any custom development or external solution.

NEW QUESTION # 195
Which integration pattern is synchronous?

A. Event-driven
B. Fire-and-forget
C. Batch processing
D. Request-reply

Answer: D

Explanation:
The client waits for a response.

NEW QUESTION # 196
What is an advantage of using Custom metadata type over Custom setting?

A. Custom metadata records are not copied from production to sandbox.
B. Custom metadata records are editable in Apex.
C. Custom metadata types are available for reporting.
D. Custom metadata records are deployable using packages.

Answer: D

Explanation:
Custom metadata records are deployable using packages, which makes them easier to migrate from one environment to another. Custom settings records are not deployable using packages, and they are copied from production to sandbox. Custom metadata types are not available for reporting, and custom metadata records are not editable in Apex.

NEW QUESTION # 197
What is a key cause of ownership data skew?

A. Too many validation rules
B. Too many records owned by one user
C. Too many roles
D. Too many fields

Answer: B

Explanation:
Ownership skew occurs when one user owns a large number of records, affecting performance.

NEW QUESTION # 198
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