有用的Plat-Arch-201考試備考經驗和資格考試中的主要供應商＆真實的Salesforce Salesforce Certified Platform Data Architect

數千家公司均依託 Salesforce 標準來提供一個可靠的員工業績評估。此外，數十家擁有自己認證專案的公司也非常信賴 Salesforce 認證，以確保員工具備扎實的技能功底。此舉可以為公司節省大量的時間和開銷。要想順利的一次通過 Plat-Arch-201 認證，選擇一部優秀的題庫非常必要，Fast2test 的專家一直致力於為客戶提供 Salesforce 認證的全真考題及認證學習資料,助您一次通過 Salesforce Plat-Arch-201 認證考試。

Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Migration	15%	- Data quality and validation 1. Cleaning, deduplication and post-migration verification - 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 Integration	20%	- Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency - 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 Modeling and Database Design	25%	- 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 - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Metadata management 1. Business dictionary, data lineage, taxonomy and classification
Master Data Management	5%	- MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management - Golden record and system of truth 1. Establishing single source of truth in single org
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
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

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Plat-Arch-201資料 - Plat-Arch-201指南

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最新的 Application Architect Plat-Arch-201 免費考試真題 (Q144-Q149):

問題 #144
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided to make certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?

A. Update the Opportunity page layout to mark these fields as required.
B. Update these Opportunity field definitions in Setup to be required.
C. Use a validation rule for each field that takes the Stage into consideration.
D. Write an Apex trigger that checks each field when records are saved.

答案：C

解題說明：
Using a validation rule for each field that takes the Stage into consideration is the simplest approach to handle this new requirement. A validation rule can enforce the field requirements based on the logic and criteria that you define, and display an error message when users try to save a record that does not meet the requirements. Updating the Opportunity page layout to mark these fields as required will not work because page layouts do not support conditional field requirements. Updating these Opportunity field definitions in Setup to be required will not work because it will apply to all stages and records. Writing an Apex trigger that checks each field when records are saved is not the simplest approach because it requires coding and testing

問題 #145
NTO has outgrown its current salesforce org and will be migrating to new org shortly. As part of this process NTO will be migrating all of its metadata and data. NTO's data model in the source org has a complex relationship hierarchy with several master detail and lookup relationships across objects, which should be maintained in target org. What 3 things should a data architect do to maintain the relationship hierarchy during migration? Choose 3 answer

A. Keep the relationship fields populated with the source record ID's in the import file.
B. Create a external id field for each object in the target org and map source record ID's to this field.
C. Use data loader to export the data from source org and then import or Upsert into the target org in sequential order.
D. Replace source record ID's with new record ID's from the target org in the import file.
E. Redefine the master detail relationship fields to lookup relationship fields in the target org.

答案：B,C,D

解題說明：
The correct answer is A, B, and D. To maintain the relationship hierarchy during migration, a data architect should use data loader to export the data from source org and then import or upsert into the target org in sequential order, create an external ID field for each object in the target org and map source record IDs to this field, and replace source record IDs with new record IDs from the target org in the import file. These steps will ensure that the records are linked correctly and the relationships are preserved.

問題 #146
Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?

A. Do client-side validation of phone number and email field formats.
B. Use cookies to track when visitors submit multiple forms.
C. Ensure the website visitor is browsing using an HTTPS connection.
D. Prefer picklist form fields over free text fields, where possible.

答案：A,D

解題說明：
Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API.
Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.

問題 #147
What is an advantage of using Custom metadata type over Custom setting?

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

答案：B

解題說明：
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.

問題 #148
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating 15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules. Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

A. First, load all account records, and then load all user records.
B. Create the users, upload all data, and then deploy the sharing rules.
C. Defer sharing calculations until the data has finished uploading.
D. Contact Salesforce to activate indexing before uploading the data.

答案：B,C

解題說明：
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce

問題 #149
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