サンプル問題 1： A company's engineering department is conducting a month-long test on the scalability of an in-house-developed software that requires a cluster of 100 or more servers. Which of the following models is the best to use?
A: PaaS
B: SaaS
C: BaaS
D: laaS
正解：D
Explanation: Infrastructure as a Service (IaaS) is the best model for the scenario described because it provides on-demand access to compute, storage, and networking resources that are ideal for a scalable server cluster. IaaS allows the engineering team to rent infrastructure resources without having to invest in physical hardware, making it perfect for temporary or fluctuating workloads, such as scalability testing. Key Characteristics of IaaS: Full control over the operating systems and applications running on the servers. Flexible resource allocation to support high scalability. Ideal for custom software testing where specific server configurations may be needed. Why not the other options? PaaS (Platform as a Service): While PaaS is excellent for application development and deployment, it abstracts the infrastructure layer, which would limit the engineering team's control over the cluster's configuration. SaaS (Software as a Service): SaaS delivers fully managed applications, not infrastructure or testing environments. It’s irrelevant for this use case. BaaS (Backend as a Service): BaaS is tailored to mobile or web application backend development, providing APIs and pre-built services, not infrastructure for a server cluster. Platform Developer Reference: While this question is broader than Salesforce-specific concepts, understandingIaaS vs. PaaSis relevant when working with Salesforce development. For example: Salesforce operates as aPaaS (e.g., Force.com platform), allowing developers to build and deploy applications without managing underlying servers. Testing scalability and performance at an infrastructure level (as in the question) would fall underIaaSconcepts, which Salesforce developers might encounter when integrating external services or infrastructure like AWS, Azure, or Google Cloud. This foundational knowledge complements your understanding of cloud services in the Salesforce ecosystem
サンプル問題 2： What are three characteristics of change set deployments? Choose 3 answers Sending a change set between two orgs requires a deployment connection.
A: Change sets can deploy custom settings data.
B: Change sets can only be used between related organizations.
C: Deployment is done in a one-way, single transaction.
D: Sending a change set between two orgs requires a deployment connection.
E: Change sets can be used to transfer records.
正解：B, C, D
Explanation: Change sets can only be used between related organizations: Change sets require a relationship between the source and target Salesforce orgs, such as a production org and its sandboxes. You cannot use change sets between unrelated Salesforce orgs. Reference: Salesforce Change Set Overview Deployment is done in a one-way, single transaction: When a change set is deployed, it is applied to the target org as a single transaction. If there are any errors in the deployment, the entire transaction is rolled back. Reference: Apex Development Guide Sending a change set between two orgs requires a deployment connection: Before sending or deploying a change set, a deployment connection must be established between the source and target orgs. This connection is configured in the setup menu under "Deployment Connections." Reference: Trailhead: Deployment Connections Incorrect Options: A. Change sets can deploy custom settings data: Change sets cannot deploy data, including custom settings data. They only move metadata. E. Change sets can be used to transfer records: Records (data) are not supported by change sets; they only facilitate metadata migration.
サンプル問題 3： Universal Containers wants to ensure that all new leads created in the system have a valid email address. They have already created a validation rule to enforce this requirement, but want to add an additional layer of validation using automation. What would be the best solution for this requirement?
A: Submit a REST API Callout with a JSON payload and validate the fields on a third party system
B: Use a before-save Apex trigger on the Lead object to validate the email address and display an error message if it is invalid
C: Use a custom Lightning Web component to make a callout to validate the fields on a third party system.
D: Use an Approval Process to enforce the completion of a valid email address using an outbound message action.
正解：B
Explanation: Before-save Apex Trigger: This is the best solution because abefore-save triggerruns before the record is saved to the database, providing an opportunity to validate or modify the data. In this case, the Apex trigger can validate the email address using a regular expression or a third-party API call to ensure the email address is valid. If the email is invalid, an error message can be displayed using addError (). Why not the other options? A. Submit a REST API Callout with a JSON payload: REST callouts are more complex and generally not recommended for simple validation tasks like email format validation. Additionally, callouts cannot be performed directly in a before-save trigger. C. Use a custom Lightning Web Component (LWC): LWCs are primarily for UI interactions and should not be used to enforce data validations that are server-side requirements. D. Use an Approval Process: Approval Processes are for managing the approval flow of records, not for real-time validations. They cannot enforce email validation directly. Reference: Apex Triggers Documentation Trigger Context Variables
