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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Large Data Volumes and Performance20%- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits
Topic 2: Data Integration20%- External data sources
  • 1. External Objects, OData and virtual data access
- 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
Topic 3: Master Data Management5%- 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 4: Data Governance, Quality and Security15%- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data governance framework
  • 1. Policies, standards, ownership and stewardship
Topic 5: Data Modeling and Database Design25%- Data model design for Customer 360
  • 1. Objects, fields, relationships and object features
  • 2. Scalable design aligned with security and sharing model
- 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 skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
Topic 6: Data Migration15%- 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 (Q137-Q142):

NEW QUESTION # 137
Company S was recently acquired by Company T. As part of the acquisition, all of the data for the Company S's Salesforce instance (source) must be migrated into the Company T's Salesforce instance (target). Company S has 6 million Case records. An Architect has been tasked with optimizing the data load time. What should the Architect consider to achieve this goal?

Answer: A

Explanation:
Pre-processing the data means transforming and cleansing the data before loading it into Salesforce. This can reduce the errors and conflicts that might occur during the data load. Using Data Loader with SOAP API to upsert with zip compression enabled can also improve the performance and efficiency of the data load by reducing the network bandwidth and avoiding duplication


NEW QUESTION # 138
NTO has decided that it is going to build a channel sales portal with the following requirements:
1. External resellers are able to authenticate to the portal with a login.
2. Lead data, opportunity data and order data are available to authenticated users.
3. Authenticated users many need to run reports and dashboards.
4. There is no need for more than 10 custom objects or additional file storage.
Which community cloud license type should a data architect recommend to meet the portal requirements?

Answer: B

Explanation:
Partner community license type is the best option for building a channel sales portal, as it allows external resellers to access lead, opportunity, and order data, as well as run reports and dashboards. Customer community and customer community plus license types are more suitable for customer service portals, while lightning external apps starter license type does not support reports and dashboards


NEW QUESTION # 139
Universal Containers has more than 10 million records in the Order_c object. The query has timed out when running a bulk query. What should be considered to resolve query timeout?

Answer: B

Explanation:
PK Chunking can resolve query timeout when running a bulk query on an object with more than
10 million records. PK Chunking is a feature of the Bulk API that splits a query into multiple batches based on the record IDs (primary keys) of the queried object. This can improve the query performance and avoid timeouts by reducing the number of records processed in each batch.


NEW QUESTION # 140
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage. Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?

Answer: C,D

Explanation:
The number of joins used in report query and the number of records returned by report query are two key considerations to make sure the performance of the report is not degraded due to large data volume. The number of joins used in report query affects the complexity and execution time of the query, especially when joining multiple large objects. The number of records returned by report query affects the amount of data that needs to be processed and displayed by the report engine.


NEW QUESTION # 141
Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

Answer: B

Explanation:
Enabling Account de-duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts, is what UC should do to ensure proper data quality for their Account records.
Matching rules allow UC to define how Salesforce identifies duplicate Accounts based on various criteria, such as name, address, phone number, etc. Mass merge allows UC to merge up to 200 duplicate Accounts at a time, based on the matching rules. This simplifies and automates the process of de-duplicating Accounts and improves data quality. The other options are either more time-consuming, costly, or error-prone for ensuring proper data quality.


NEW QUESTION # 142
......

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