Development-Lifecycle-and-Deployment-Architect模擬対策 & Development-Lifecycle-and-Deployment-Architect関連日本語内容

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Salesforce Development-Lifecycle-and-Deployment-Architect Exam Syllabus Topics:

SectionWeightObjectives
System Design15%- Architecture alignment with business requirements
- Scalability and maintainability considerations
- Integration and data architecture design
- Compliance and security requirements implementation
Building13%- Salesforce DX and scratch orgs usage
- Code review and static analysis implementation
- Source control strategy and branching models
- Coding standards and quality assurance processes
Testing13%- Automated testing and regression strategy
- Testing methodology selection and design
- Test coverage requirements and execution strategies
- Test data management and security
Planning13%- Technical reference data management and deployment
- Pre-deployment and post-deployment planning
- Dependency identification and management
- Management of unsupported metadata and configuration
Operating8%- Incident and problem management integration
- Production change control and governance
- Post-release monitoring and feedback loops
- Lifecycle process improvement
Application Lifecycle Management8%- Single-org vs multi-org architecture decisions
- Development methodologies assessment and selection
- Governance strategy design based on organizational maturity
- Environment strategy and sandbox design
Deploying14%- Deployment troubleshooting and rollback strategies
- Deployment tools comparison: Change Sets, Metadata API, CLI, Packages
- Unlocked and managed packages implementation
- Continuous integration and delivery setup
Releasing14%- Production readiness and validation
- Change management process integration
- Release management and versioning strategy
- Release communication and stakeholder management

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Salesforce Certified Development Lifecycle and Deployment Architect 認定 Development-Lifecycle-and-Deployment-Architect 試験問題 (Q133-Q138):

質問 # 133
Universal Containers has written several validation rules and workflow rules for the lead object. Which two test types should an Architect suggest to ensure that a large inbound call center does not experience platform slowdowns under high call volume for the Lead object? Choose 2 answers

正解:C、D

解説:
C and D are the correct answers, as Load Test and Performance Test are the test types that should be suggested to ensure that a large inbound call center does not experience platform slowdowns under high call volume for the Lead object. A load test is a test that measures the performance and behavior of the system under a specific load, such as a large number of concurrent users or requests. A performance test is a test that measures the speed, responsiveness, and stability of the system under various conditions, such as different configurations or environments. These tests can help to identify and prevent any potential issues or bottlenecks that could affect the user experience or the system functionality. A is incorrect, as Unit Test is not a test type that should be suggested for this scenario, as it is a test that verifies the functionality and logic of a single unit of code, such as a method or a class, but not the performance or behavior of the system as a whole.
B is incorrect, as Stress Test is not a test type that should be suggested for this scenario, as it is a test that measures the performance and behavior of the system under extreme or abnormal conditions, such as exceeding the capacity or resources of the system, but not the performance or behavior of the system under normal or expected conditions. You can learn more about these tests in the Testing Strategies module on Trailhead.


質問 # 134
When replacing an old legacy system with Salesforce, which two strategies should the plan consider to mitigate the risks associated with migrating data from the legacy system to Salesforec? Choose 2 answers?

正解:B、D


質問 # 135
Universal Containers is about to begin the release of a major project. To facilitate this, they have several sandboxes to make their deployment train. These sandboxes are a mix of preview and non-preview instances.
What should the architect recommend?

正解:C

解説:
Explanation
Refreshing all non-preview sandboxes during the release preview window is the best way to handle the situation of having a mix of preview and non-preview instances for the release of a major project. A release preview window is a period of time before a Salesforce seasonal release, where the customers can test their applications and integrations in a sandbox that has the same version as the upcoming release. By refreshing all non-preview sandboxes during this window, the architect can ensure that all the sandboxes are aligned with the same version and avoid any conflicts or errors during the deployment. Refreshing the sandboxes when the release management team has time, mixing instance types, or contacting support to rollback the release are not good practices, as they can cause inconsistency, confusion, or disruption in the release process.


質問 # 136
Universal Containers wants to introduce data volume testing to resolve ongoing performance defects earlier in the lifecycle. Regulations prohibit the use of production data in non-production environments.
Which two options can the architect recommend?
Choose 2 answers

正解:A、B

解説:
Explanation
The architect should recommend generating mock data that mimics production data shape and volume, and performing data masking on full sandbox after a refresh. These options allow the team to create realistic data sets for testing without violating the regulations that prohibit the use of production data in non-production environments. Requesting a partial sandbox copy after the next Salesforce release is not a valid option, as partial sandboxes are refreshed on demand and not tied to Salesforce releases. Using Query Analyzer in production is not a way to perform data volume testing, as it only analyzes the performance of SOQL queries.


質問 # 137
A team of developers at Universal Containers has developed Apex Triggers and Apex Classes in a sandbox. The team has also written test classes to unit test these triggers and classes. When executed in the sandbox, all the test methods pass and all the classes meet the minimum code coverage requirement. But when they tried deploying these components to production, a few of these test methods failed What should an architect recommend?

正解:D

解説:
Explanation
The best practice for writing test classes is to not use SeeAllData and generate data in the test methods. This ensures that the test classes are independent of the data in the org and can run successfully in any environment.
Creating test data in production or setting SeeAllData to True can cause unexpected failures or data conflicts.


質問 # 138
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