一番優秀なSalesforce ADX-350英語版 &合格スムーズADX-350勉強ガイド |最高のADX-350試験

当社のADX-350学習ガイド資料は、高品質のおかげで多くのお客様に支持されています。ユーザーが認定試験に合格する必要があるときに開始し、ADX-350の実際の質問を選択します。2回目または3回目のバックアップオプションはありません。 ADX-350実践ガイドは、ユーザーがテストに迅速に合格できるようにするために使用される方法を調査することに専念しています。したがって、絶え間ない努力により、ADX-350の実際の質問の合格率は98%〜100%です。

Salesforce ADX-350 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Hyperautomation Solutions25%- Solution Design
  • 1. Apply integration patterns
  • 2. Select appropriate MuleSoft and Salesforce tools
  • 3. Design end-to-end automation solutions
Topic 2: Discover and Analyze Business Processes17%- Process Discovery
  • 1. Evaluate process bottlenecks
  • 2. Analyze business processes
  • 3. Identify automation opportunities
Topic 3: Build Salesforce Automation Solutions20%- Salesforce Automation
  • 1. Build flows with Flow Builder
  • 2. Automate approvals and notifications
  • 3. Integrate Salesforce with external systems
Topic 4: Implement MuleSoft Composer Solutions20%- Composer Configuration
  • 1. Configure connectors
  • 2. Transform and map data
  • 3. Build Composer flows
Topic 5: Implement MuleSoft RPA Solutions18%- RPA Development
  • 1. Debug and monitor automations
  • 2. Design RPA processes
  • 3. Configure bots and workflows

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検証するADX-350英語版 & 合格スムーズADX-350勉強ガイド | 効果的なADX-350試験

Salesforceガイドトレントは、98〜100%の合格率と高いヒット率を高めます。弊社のADX-350テストトレントは認定エキスパートを使用し、質問と回答は実際の試験に基づいて入念に選択されます。私たちのADX-350研究急流の言語は理解しやすく、内容は重要な情報を簡素化しました。当社の製品は、機能を強化してADX-350試験、タイミング機能、自己学習および自己評価機能をシミュレートし、学習者がADX-350ガイドトレントを簡単かつ便利な方法でSalesforce Certified Hyperautomation Specialist Exam習得できるようにします。

Salesforce Certified Hyperautomation Specialist Exam 認定 ADX-350 試験問題 (Q30-Q35):

質問 # 30
A Salesforce administrator asks for advice on how to build their Salesforce flow. They need to complete several DML actions as part of their Salesforce flow and are running into DML governor limits during testing.
Which two pieces of advice should be given to the Salesforce administrator to improve their flow? (Choose two.)

正解:B、C

解説:
* Avoid DML in For Loops: Placing DML (Data Manipulation Language) operations inside a loop can quickly exceed Salesforce governor limits, as each iteration performs a separate DML operation. It's best to collect records in a list and perform DML operations outside the loop.
* Use Collection Variables: By looping through a collection variable and adding records to it, you can perform bulk DML operations, which are more efficient and less likely to hit governor limits.
* Use Upsert Action: Using the upsert action can reduce the number of DML statements by combining insert and update operations. However, this strategy depends on the specific flow requirements and data structure.
* DML Statements at the End: Consolidating DML operations to the end of the flow is advisable, but care should be taken to handle errors and exceptions appropriately.


質問 # 31
Northern Trail Outfitters is developing an API that connects to a vendor's database.
Which two strategies should their Ops team use to monitor the overall health of the API and database using API Functional Monitoring? (Choose two.)

正解:A、B

解説:
* Health-Check Endpoint: Creating and regularly calling a health-check endpoint is a common strategy to ensure that the API and its underlying systems are operational. This endpoint typically performs basic checks such as database connectivity and service availability.
* GET Call to Existing Endpoint: Making a GET call to an existing API endpoint and verifying that the results match expected data helps ensure that the API is not only running but also functioning correctly. This approach validates that the API can retrieve data from the database as intended.
* Monitoring CloudHub Worker Logs: While monitoring logs can be useful, it is more of a reactive approach. Proactive strategies like health-check endpoints and GET calls provide immediate validation of the API's operational status.
* Verifying Mule Worker Logs for Errors: This approach can complement health-check endpoints and GET calls but should not be the primary strategy. Logs are helpful for diagnosing issues after they occur rather than ensuring ongoing health.


質問 # 32
Which API policy can be applied to limit the number of requests an individual client can make to an API?

正解:A

解説:
The Rate Limiting - SLA-Based policy in Anypoint Platform is designed to control the number of requests an individual client can make to an API. This policy is highly configurable and allows you to set specific limits based on service level agreements (SLAs).
Rate Limiting - SLA-Based:
This policy helps protect APIs from being overwhelmed by too many requests by enforcing a limit on the number of requests a client can make within a specified time frame.
You can define different rate limits for different tiers of clients, ensuring fair usage and protecting backend services.
Anypoint Platform Rate Limiting Documentation


質問 # 33
An RPA process is invoked by a MuleSoft Composer flow. The RPA process has a User Task that can take up to 24 hours to complete.

正解:A

解説:
When an RPA process involves a User Task that can take a significant amount of time (up to 24 hours) to complete, it is best to use a follow-up mechanism to handle the results once the process is finished:
Second MuleSoft Composer Flow:
Create a second MuleSoft Composer flow that is triggered when the RPA process completes. This ensures that the first flow is not held up while waiting for the long-running RPA process to finish.
The second flow can start based on an event, such as the completion status of the RPA process, ensuring timely and efficient processing of the results.
Trigger Mechanism:
Configure the RPA process to notify MuleSoft Composer when it is complete, possibly using a REST API or another integration method.
Best Practices:
This approach adheres to best practices by keeping flows modular and focused on specific tasks, making them easier to manage and troubleshoot.
MuleSoft Composer Documentation
MuleSoft RPA Documentation


質問 # 34
AnyAirlines has MuleSoft Composer installed on their production Salesforce environment.
To test flows with data in multiple non-production environments, what does the hyperautomation specialist need to do?

正解:C

解説:
* Create Connections: To test flows with data in multiple non-production environments, creating connections to each environment within the MuleSoft Composer UI is necessary. This allows the Composer to access and manipulate data across different environments, ensuring comprehensive testing.
* Installing Composer in Non-Production Environments: While installing Composer in each environment is technically possible, creating individual connections is more efficient and aligns with best practices.
* Using Mocked Data: Mocked data can be useful for initial testing, but connecting to actual non-production environments provides more realistic test scenarios.
* Proxy Setup: Creating a proxy to other environments is complex and unnecessary when Composer supports direct connections.


質問 # 35
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