Plat-Arch-201 Fragen&Antworten & Plat-Arch-201 Zertifizierungsprüfung

Die Salesforce Plat-Arch-201 Zertifizierungsprüfung ist heutztage in der konkurrenzfähigen IT-Branche immer beliebter geworden. Immer mehr Leute haben die Salesforce Plat-Arch-201 Prüfung abgelegt. Aber ihre Schwierigkeit nimmt doch nicht ab. Es ist schwer, die Salesforce Plat-Arch-201 Prüfung zu bestehen, weil sie sowieso eine autoritäre Prüfung ist, die Computerfachkenntnisse und die Fähigkeiten zur Informationstechnik prüft. Viele Leute haben viel Zeit und Energie auf die Salesforce Plat-Arch-201 Zertifizierungsprüfung aufgewendet.

Salesforce Plat-Arch-201 Exam Syllabus Topics:

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

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Salesforce Certified Platform Data Architect Plat-Arch-201 Prüfungsfragen mit Lösungen (Q151-Q156):

151. Frage
DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out. What should be considered to address this issue?

A. Tooling API
B. PK Chunking
C. Metadata API
D. Streaming API

Antwort: B

Begründung:
PK Chunking is a feature of the Bulk API that allows splitting a large query into smaller batches based on the primary key of the object. This can improve the performance and avoid query timeouts when querying large data sets

152. Frage
Universal Containers (UC) is implementing Salesforce and will be using Salesforce to track customer complaints, provide white papers on products, and provide subscription-based support.
Which license type will UC users need to fulfill UC's requirements?

A. Lightning Platform Starter License
B. Service Cloud License
C. Salesforce License
D. Sales Cloud License

Antwort: B

Begründung:
Service Cloud License (option C) is the license type that UC users need to fulfill UC's requirements, as it allows them to track customer complaints, provide white papers on products, and provide subscription-based support.

153. Frage
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF. UC is concerned about SF storage limits but would still like Sales cloud to have access to the data. Which design patterns should a data architect select to satisfy the requirement?

A. Use SF Connect to virtualize the data in SF and avoid storage limits.
B. Migrate and persist the data in SF to take advantage of native functionality.
C. Build a UI for the on-premise system and iframe it in Salesforce
D. Develop a bidirectional integration between the on-premise system and Salesforce.

Antwort: A

Begründung:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.

154. Frage
How can an architect find information about who is creating, changing, or deleting certain fields within the past two months?

A. Export the metadata and search it for the fields in question.
B. Remove "customize application" permissions from everyone else.
C. Export the setup audit trail and find the fields in question.
D. Create a field history report for the fields in question.

Antwort: C

Begründung:
The setup audit trail tracks changes made in your org's setup area for the past 180 days. You can export the setup audit trail and find the fields in question by filtering by action type, user, or date.

155. Frage
Cloud Kicks currently has a Public Read/Write sharing model for the company's Contacts. Cloud Kicks management team requests that only the owner of a contact record be allowed to delete that contact. What should an Architect do to meet these requirements?

A. Set the profile of the users to remove delete permission from the Contact object.
B. Check if the current user is NOT the owner by creating a validation rule on the Contact object.
C. Check if the current user is NOT the owner by creating a "before delete" trigger.
D. Set the Sharing settings as Public Read Only for the Contact object.

Antwort: C

Begründung:
Checking if the current user is NOT the owner by creating a "before delete" trigger can meet the requirement of allowing only the owner of a contact record to delete that contact. A trigger is a piece of Apex code that can execute before or after a record is inserted, updated, deleted, or undeleted. A "before delete" trigger can prevent the deletion of a record by using the addError() method.

156. Frage
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