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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance | 18% | - Describe the considerations for query performance. - Describe the performance implications of the different asynchronous Apex features. - Describe the common performance issues for user interfaces and the techniques to mitigate them. - Describe the performance implications of the different trigger types. |
| Topic 2: Process Automation, Logic, and Integration | 27% | - Describe the nuances of SOQL for loops. - Describe the use cases for the Callable interface. - Describe the use cases for and implications of the order of execution. - Describe the use cases for the publish-subscribe pattern. - Describe the use cases for the ConnectApi classes. - Describe the use cases for the Queueable interface. - Describe the use cases for the Schedulable interface. - Describe the use cases for the Batchable interface. - Given a scenario, identify the appropriate asynchronous Apex feature. - Describe the nuances of Apex triggers. - Describe the use cases for Platform Events. - Describe the use cases for and nuances of Apex managed sharing. |
| Topic 3: Advanced Developer Fundamentals | 15% | - Describe the capabilities of the Schema.describeSObjects() method. - Identify the best practices for writing Apex triggers. - Describe the capabilities of the Schema.describeTabs() method. - Given a scenario, identify the use of custom metadata and custom settings. - Describe the use cases for the System.Limits Apex methods. - Describe the relationship between Apex transactions, the save order of execution, and the potential for recursion and/or cascading. - Describe the nuances of Apex sharing rules and the difference between declarative and programmatic sharing. - Use the sObject describe result and field describe result to get information about sObjects and fields. |
| Topic 4: Testing, Debugging, and Deployment | 20% | - Given a scenario, identify the appropriate test setup logic. - Describe the nuances of testing Apex triggers. - Describe the nuances of testing Aura components. - Describe the process for debugging Aura and Lightning Web Components. - Describe the best practices for testing Apex. - Describe the nuances of testing Lightning Web Components. - Describe the process for deploying Salesforce applications. - Describe the nuances of testing Visualforce controllers. - Describe the process for debugging Apex. |
| Topic 5: User Interface | 20% | - Describe the process for creating Lightning Web Components. - Describe the use cases for component events and application events. - Describe the process for creating Aura components. - Describe the use cases for the different Aura component bundle files. - Describe the nuances of the component communication patterns. - Describe the nuances of event propagation in Aura and Lightning Web Components. - Describe the use cases for the Lightning Data Service. - Describe the use cases for the different Lightning Web Component lifecycle hooks. - Given a scenario, identify the correct communication mechanism. |
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NEW QUESTION # 17
m アカウントを保存すると、Salesforce ユーザーは常に「最大トリガー深度を超えました」というエラーを受け取ります。
開発者はこのエラーをどのように修正できますか?
Answer: D
NEW QUESTION # 18
会社には、Opportunity とのルックアップ関係を持つカスタム オブジェクト Sales_Help_Request__c があります。Sales_Help_Request__c には、Sales_Help_Request__c に費やされた時間を表す数値フィールド Number_of_Hours__c があります。
開発者は、Opportunity に、その Opportunity に関連する Sales_Help_Request__c レコードの Number_of_Hours__c 値のすべての合計であるフィールド Total_Hours__c を作成する任務を負っています。
開発者はこれを実装するために何を使用する必要がありますか?
Answer: B
NEW QUESTION # 19
開発者は、テスト実行に必要なすべてのテストデータの初期設定のため、クラス内のすべてのテストメソッドの実行に時間がかかることに気づきました。テスト実行を高速化するには、開発者は何をすべきでしょうか？
Answer: C
Explanation:
Comprehens7ive and Detailed 150 8to 250 words of Explanation:
In Salesforce Apex testing, the @testSetup annotation is a powerful tool designed to improve test performance and reduce code redundancy. When a method is marked with @testSetup, it executes once before any of the individual test methods in the class run. The data created in this method is then persisted for the entire class.
The primary performance benefit comes from how Salesforce handles this data: the platform creates a
"snapshot" of the database state after the setup method finishes. For every subsequent test method in the class, the system simply rolls back the database to this snapshot rather than re-executing the data creation logic. This significantly reduces the time spent on DML operations, which are often the most time-consuming part of a test suite.
Option D (Data Factories) is a best practice for code reuse, but if called inside every test method, it still results in redundant DML operations. Options A and B are incorrect; @createData is not a valid Salesforce annotation, and reducing the number of tests sacrifices code coverage and quality. By using @testSetup, a developer ensures that heavy data initialization happens only once, leading to faster execution cycles and more efficient resource usage during deployments.
NEW QUESTION # 20
環境には 2 つの Apex トリガーがあります。取引先の更新後トリガーと取引先担当者の更新後トリガーです。Account after-update トリガーは、Account の住所が更新されるたびに起動し、その住所に関連付けられているすべての Contact を更新します。Contact after-update トリガーは編集ごとに起動し、連絡先に関連するすべての Campaign Member レコードを連絡先の状態で更新します。
次のことを考慮してください: 200 個の取引先レコードのアドレスの一括更新。各取引先には 50 の連絡先があります。各連絡先には 1 人のキャンペーン メンバーがいます。これは、アカウント全体で 10,000 の連絡先レコードがあり、連絡先全体で 10,000 のキャンペーン メンバー レコードがあることを意味します。
大量更新が発生するとどうなりますか?
Answer: D
NEW QUESTION # 21
CalloutUtil.makeRestCallout が「コミットされていない作業が保留中です。呼び出し前にコミットまたはロールバックしてください」というエラーで失敗します。この問題を解決するにはどうすればよいですか？
Java
public void updateAndMakeCallout(Map<Id, Request__c> regs, Map<Id, Request_Line__c> regLines) { Savepoint sp = Database.setSavepoint(); try { insert regs.values(); insert regLines.values(); HttpResponse response = CalloutUtil.makeRestCallout(regs.keySet(), regLines.keySet());
} catch (Exception e) {
Database.rollback(sp);
}
}
Answer: A
Explanation:
Salesforce has a strict rule: You cannot perform a synchronous web service callout after performing a DML operation in the same transaction. In the provided code, the insert operations (DML) occur first, creating "uncommitted work" in the database. When the code then tries to execute makeRestCallout, the platform throws the error to prevent a long-running callout from holding database locks open.
To resolve this, the callout must be moved to its own separate transaction. The most straightforward way to do this is to change the callout method to an @future(callout=true) method (Option B). When an @future method is called, the request is queued and executed in a new, independent transaction with its own governor limits. This decouples the database "work" from the external "callout." Option A is incorrect because simply moving the line doesn't change the transaction context. Option C (removing savepoints) doesn't help because the DML itself is the blocker. Option D (@InvocableMethod) is used for Flow/Process Builder and doesn't inherently solve the transaction boundary issue. Using an @future method (or a Queueable class) is the standard platform-aligned solution for this error.
NEW QUESTION # 22
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