Plat-Arch-201 Prüfungsressourcen: Salesforce Certified Platform Data Architect & Plat-Arch-201 Reale Fragen

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Migration	- Data cleansing and transformation - Data migration strategies and planning
Topic 2: Salesforce Data Model and Platform Capabilities	- Relationships and schema design - Standard and custom objects - Reporting and analytics considerations
Topic 3: Data Integration	- API-based integration approaches - Integration patterns in Salesforce - ETL vs ELT strategies
Topic 4: Data Architecture and Design	- Handling large data volume and scalability considerations - Data modeling best practices in Salesforce - Conceptual and logical data modeling
Topic 5: Data Management	- Data quality management - Data governance principles - Master data management (MDM) concepts

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Salesforce Certified Platform Data Architect Plat-Arch-201 Prüfungsfragen mit Lösungen (Q251-Q256):

251. Frage
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data. Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)

A. Ensure all data is stored in an external system and set up an integration to Salesforce for view- only access.
B. Enforce critical business processes by using Workflow, Validation Rules, and Apex code.
C. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
D. Schedule reports that will automatically catch duplicates and merge or delete the records every week.

Antwort: B,C

Begründung:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update.
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability.

252. Frage
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce. Which solution should a data architect recommend as an archiving solution?

A. Build a batch join move all records off platform, and delete all records from Salesforce.
B. Use a third-party backup solution to backup all data off platform.
C. Build a batch job to move all restore off platform, and delete old records from Salesforce.
D. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.

Antwort: D

Begründung:
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from Salesforce as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in Salesforce. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from Salesforce, the data architect can reduce the storage consumption and improve the performance of Salesforce org.

253. Frage
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?

A. Use Data.com Clean
B. Use Duplicate Management.
C. Use a data warehouse.
D. Use an Enterprise Service Bus.

Antwort: A,B

Begründung:
Using Duplicate Management and Data.com Clean are two recommended approaches for UC to avoid duplicate data and increase the level of data quality. Duplicate Management can prevent or alert users when they try to create or edit records that are duplicates of existing records.
Data.com Clean can compare Salesforce records with Data.com records and provide suggestions for updates or removals of duplicate records.

254. Frage
Universal Containers (UC) manages Vehicle and Service History in Salesforce. Vehicle (Vehicle__ c) and Service History (Service-History__ c) are both custom objects related through a lookup relationship.
Every week a batch synchronization process updates the Vehicle and Service History records in Salesforce. UC has two hours of migration window every week and is facing locking issues as part of the data migration process.
What should a data architect recommend to avoid locking issues without affecting performance of data migration?

A. Use Bulk API serial mode for data migration
B. Insert the order in another custom object and use Batch Apex to move the records to Service_ Order__ c object.
C. Change the lookup configuration to "Clear the value of this field" when lookup record is deleted.
D. Use Bulk API parallel mode for data migration

Antwort: A

Begründung:
According to the official Salesforce guide, using Bulk API serial mode for data migration can help avoid locking issues by processing batches in a single thread. This mode ensures that batches are processed in the order they are received and that only one batch is processed at a time. This reduces the risk of lock contention and deadlocks, especially when updating parent and child records in a lookup relationship. Option B is the correct answer because it suggests using Bulk API serial mode for data migration.

255. Frage
Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A. Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.
B. Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.
C. Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.
D. Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.

Antwort: C

Begründung:
Using a declarative approach by installing and configuring Data.com Clean to monitor Account data quality can help UC meet their requirement. Data.com Clean can enrich and cleanse data on an ongoing basis by comparing Salesforce records with Data.com records and providing suggestions for updates. Data.com Clean can also provide dashboards and reports to monitor key data quality metrics such as match rate, field fill rate, and record completeness

256. Frage
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