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

Section	Weight	Objectives
Deploying	14%	- Continuous integration and delivery setup - Unlocked and managed packages implementation - Deployment troubleshooting and rollback strategies - Deployment tools comparison: Change Sets, Metadata API, CLI, Packages
Application Lifecycle Management	8%	- Governance strategy design based on organizational maturity - Development methodologies assessment and selection - Environment strategy and sandbox design - Single-org vs multi-org architecture decisions
Building	13%	- Code review and static analysis implementation - Source control strategy and branching models - Salesforce DX and scratch orgs usage - Coding standards and quality assurance processes
Planning	13%	- Pre-deployment and post-deployment planning - Dependency identification and management - Technical reference data management and deployment - Management of unsupported metadata and configuration
Releasing	14%	- Release management and versioning strategy - Change management process integration - Production readiness and validation - Release communication and stakeholder management
Testing	13%	- Automated testing and regression strategy - Testing methodology selection and design - Test coverage requirements and execution strategies - Test data management and security
System Design	15%	- Compliance and security requirements implementation - Scalability and maintainability considerations - Integration and data architecture design - Architecture alignment with business requirements
Operating	8%	- Lifecycle process improvement - Incident and problem management integration - Production change control and governance - Post-release monitoring and feedback loops

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Salesforce Certified Development Lifecycle and Deployment Architect Sample Questions (Q216-Q221):

NEW QUESTION # 216
Universal Containers has a full sandbox that will be used to analyze and fix bugs found in production.
Which two items should the architect recommend to ensure that bugs found in production are more easily analyzed in this full sandbox?
Choose 2 answers

A. Before any deployment in production, the same process must be performed in this sandbox.
B. Perform a Refresh Data in the full sandbox.
C. Create a daily process of copying new and changed data in production to the full sandbox.
D. Refresh the full sandbox after every deployment in production.

Answer: A,D

Explanation:
Explanation
To ensure that bugs found in production are more easily analyzed in the full sandbox, the architect should recommend to refresh the full sandbox after every deployment in production, and to perform the same process in the sandbox before any deployment in production. This way, the full sandbox will be in sync with the production org and will have the same metadata and code. Creating a daily process of copying new and changed data in production to the full sandbox is not necessary, as the full sandbox already has a copy of the production data. Performing a Refresh Data in the full sandbox is not possible, as this option is only available for partial copy and developer pro sandboxes.

NEW QUESTION # 217
Universal Containers has a stable continuous integration process and all stakeholders are happy. However, user testing takes longtime, as data has to be setup. What should an Architect do to address this problem?

A. Train business users to create test data more efficiently.
B. Test data creation is outside the scope of continuous integration.
C. Include automated sample data during deployment.
D. Advise the project manager to assign more users to create test data.

Answer: C

Explanation:
The best solution to address the problem of user testing taking a long time due to data setup is to include automated sample data during deployment. This way, the users can have realistic and consistent data to test the functionality and performance of the system. Assigning more users to create test data, testing data creation being outside the scope of continuous integration, or training business users to create test data more efficiently are not effective solutions, as they still require manual effort and may result in inconsistent or inaccurate data.

NEW QUESTION # 218
A team has completed a sprint and intends to deploy these changes after business approval, but they will immediately begin the next sprint.
What strategy should an architect recommend?

A. Using Git, create a release branch from the develop branch. All fixes must be made in the release branch. After deployment, merge release with develop.
B. Commit upcoming changes to the features branch without merging into the develop branch. Deploy from the develop branch and then merge new sprint features into the develop branch.
C. Migrate the current code to the UAT sandbox. Begin new sprint development in the Dev sandbox.Make fixes in the UAT environment and deploy UAT for production after business approval.
D. The first task of the new sprint must be the deployment approval. After that, the other tasks of the sprint can be performed in the environments and Git.

Answer: A

Explanation:
The architect should recommend using Git to create a release branch from the develop branch. All fixes must be made in the release branch. After deployment, merge release with develop. This strategy allows the team to isolate the changes that are ready for deployment from the changes that are still in progress. It also ensures that the fixes are applied to both the release and the develop branches. The other options do not follow the best practices of Git branching and merging.

NEW QUESTION # 219
Universal Containers has an active production org; and they are planning to release some new features to it next month. The team is working to prepare .1 deployment plan and reached out to the technical architect for inputs on rollback strategy.
What should a technical architect recommend?

A. Create a sandbox from production to take the backup of existing metadata. To roll back deployment, use destructivechanges.xml to delete new components and then deploy again to production using metadata from this sandbox.
B. Backup the existing metadata using ANT Migration Tool. To roll back deployment, manually delete new components and deploy again to production using backed up metadata.
C. Create a sandbox from production to take the backup of existing metadata. To roll back deployment, manually delete new components and then deploy again to production using metadata from this sandbox.
D. Backup the existing metadata using the ANT Migration Tool. To roll back deployment, deploy again to production using backed up metadata.

Answer: D

Explanation:
Explanation
The architect should recommend backing up the existing metadata using the ANT Migration Tool. To roll back deployment, deploy again to production using backed up metadata. This strategy allows the team to restore the previous state of the production org in case of any issues with the deployment. Creating a sandbox from production to take the backup of existing metadata is not necessary and may take longer time. Using destructivechanges.xml to delete new components is not a reliable way to roll back deployment, as it may not remove all the dependencies and references. Manually deleting new components is also not a feasible option, as it may be error-prone and time-consuming.

NEW QUESTION # 220
Due to several issues, Universal Containers wants to have better control over the changes made in the production org and to be able to track them. Which two options will streamline the process? Choose 2 answers

A. Allow no code/configuration changes directly in the production.org
B. Make all code/configuration changes directly in the production org.
C. Use Metadata API to automate deployment to the production.org
D. Use the Force.com IDE to automate deployment to the production.org

Answer: A,C

NEW QUESTION # 221
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