Plat-Arch-201資格講座 & Plat-Arch-201資格準備

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Migration	15%	- Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Data quality and validation 1. Cleaning, deduplication and post-migration verification - Migration strategy and planning 1. Assessment, mapping, validation and rollback planning
Data Governance, Quality and Security	15%	- Data security and compliance 1. Access control, encryption, compliance and audit - Data governance framework 1. Policies, standards, ownership and stewardship - Data quality management 1. Profiling, monitoring, cleansing and enrichment
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 skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Data model design for Customer 360 1. Scalable design aligned with security and sharing model 2. Objects, fields, relationships and object features
Large Data Volumes and Performance	20%	- Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks - LDV architecture design 1. Data distribution, archiving and partitioning strategies - Storage and scalability planning 1. Data volume growth planning and storage limits
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
Data Integration	20%	- 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 - External data sources 1. External Objects, OData and virtual data access

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Plat-Arch-201資格準備 & Plat-Arch-201 PDF

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Salesforce Certified Platform Data Architect 認定 Plat-Arch-201 試験問題 (Q189-Q194):

質問 # 189
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org. Which three recommendations should a data architect make is order to reduce the number of records from the org? Choose 3 answer

A. Identify records in objects that have not been modified or used In last 3 years.
B. Archive the records in enterprise data warehouse (EDW) before deleting from Salesforce.
C. Use hard delete in batch Apex to permanently delete records from Salesforce.
D. Use Rest API to permanently delete records from the Salesforce org.
E. Use hard delete in Bulk API to permanently delete records from Salesforce.

正解：A、B、E

解説：
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API

質問 # 190
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API.
The Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before importing related order line items. What is the recommended solution?

A. Leverage Batch Apex to update order ID on related order lines after import.
B. Query only indexed ID field values on the imported order to import related order lines.
C. Leverage an External ID from source system orders to import related order lines.
D. Leverage a sequence of numbers on the imported orders to import related order lines.

正解：C

解説：
Leverage an External ID from source system orders to import related order lines. This is the recommended solution because it allows you to use the upsert operation to match records based on the External ID field, which is indexed and unique. This avoids the need to query the parent order IDs in Salesforce before importing the order line items, which can cause time-out errors or long delays.

質問 # 191
Which two best practices should be followed when using SOSL for searching?

A. Use SOSL option to ignore custom indexes as search fields are pre-indexed.
B. Keep searches specific and avoid wildcards where possible.
C. Use searches against single Objects for greater speed and accuracy.
D. Use Find in "ALL FIELDS" for faster searches.

正解：B、D

解説：
The two best practices that should be followed when using SOSL for searching are: Keep searches specific and avoid wildcards where possible. Use Find in "ALL FIELDS" for faster searches. These best practices are helpful because they optimize the search performance and relevance. For example, keeping searches specific and avoiding wildcards where possible can reduce the number of results returned and improve the search accuracy. Using Find in "ALL FIELDS" for faster searches can leverage Salesforce's pre-defined indexes on common fields and return results more quickly than specifying individual fields.

質問 # 192
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. Leverage the Bulk API and concurrent processing with multiple batches
C. Load the data through data loader, and turn on parallel processing.
D. Enable defer sharing calculations, and suspend sharing rule calculations

正解：D

解説：
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.

質問 # 193
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record. What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 3 answer

A. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
B. Consider whether the data is required for sales reports, dashboards and KPI's.
C. A selection of the tool required to replicate the data.
D. Determine if the data is driver of key process implemented within salesforce.
E. Heroku Connect is required but this is confusing
F. Ensure the data is CRM center and able to populate standard of custom objects.

正解：A、C、D

解説：
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce

質問 # 194
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