Salesforce Development-Lifecycle-and-Deployment-Architect - Salesforce Certified Development Lifecycle and Deployment Architect Fantastic New Exam Preparation

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

Section	Weight	Objectives
Operating	10%	- Production operations 1. Direct production changes implications 2. Integrating production changes into ALM 3. Managing release artifacts across multiple orgs
Application Lifecycle Management	8%	- Development methodologies 1. Evaluate risks and benefits of lifecycle models 2. Assess governance strategies based on customer maturity
Releasing	13%	- Release management 1. Sandbox mapping for release plans 2. Managed, unmanaged, and unlocked packages 3. Release management strategies
Building	14%	- Development practices 1. Test data and unit testing approaches 2. Code quality management 3. Source control and branching strategies 4. Org-based and package-based development
Deploying	14%	- Deployment technologies 1. Pre-deployment and post-deployment activities 2. Technical reference data deployment 3. Metadata API and Tooling API
Testing	13%	- Testing methodologies 1. Coverage requirements 2. Test execution strategies 3. Unified secure test data strategy
System Design	15%	- Environment and deployment architecture 1. Org strategy considerations 2. Deployment strategy evaluation 3. Sandbox strategy design 4. Agile tool usage
Planning	13%	- Governance and risk management 1. Mitigate Salesforce seasonal release risks 2. Assess ALM maturity 3. Identify people, process, and technology requirements 4. Recommend governance frameworks

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Salesforce Certified Development Lifecycle and Deployment Architect Sample Questions (Q22-Q27):

NEW QUESTION # 22
Universal Containers CUC) has multiple teams working on different projects. Multiple projects will be deployed to many production orgs. During code reviews, the architect finds inconsistently named variables and lack of best practices.
What should an architect recommend to improve consistency?

A. Require pull requests to be reviewed by two developers before merging.
B. Execute regression testing before code can be committed.
C. Use static code analysis to enforce coding standards.
D. Create a Center of Excellence for release management.

Answer: C

Explanation:
Using static code analysis to enforce coding standards is the best way to improve consistency among the development teams working on different projects. Static code analysis is a tool that can automatically scan the code and detect any violations of the predefined coding rules and best practices. It can also provide feedback and suggestions to the developers on how to improve their code quality and readability. Creating a Center of Excellence for release management, requiring pull requests to be reviewed by two developers before merging, or executing regression testing before code can be committed are also good practices, but they are not as effective or efficient as static code analysis for ensuring coding consistency.

NEW QUESTION # 23
An architect is working on a Universal Containers (UC) project, and due to security concerns, the UC security team cannot provide the Architect with production access. Instead, a central release management team will be responsible for performing production deployments for all development teams.
How should an architect leverage the Metadata API to ensure any metadata components necessary to deploy the project's functionality Are properly communicated to the release management team?

A. Create a change set in each sandbox and download the package.xml file for the release management team.
B. Provide the release management team a copy of the audit trail from the sandbox you wish to deploy from.
C. Communicate the unlocked package version to the release management team.
D. Provide a spreadsheet of all components and utilize the metadata API's read Metadata()call.

Answer: C

Explanation:
Explanation
The best way to leverage the Metadata API to communicate the metadata components to the release management team is to use unlocked packages. Unlocked packages are a collection of metadata components that can be easily deployed and updated using the Metadata API. They also provide versioning and dependency tracking features that can help ensure the integrity and compatibility of the components. Providing a spreadsheet, a change set, or an audit trail are not effective ways to use the Metadata API, as they do not capture the full metadata information and require manual intervention.

NEW QUESTION # 24
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?

A. Contact support to roll back the release when Salesforce upgrades the sandboxes,
B. Refresh all non-preview sandboxes when the release management team has time.
C. Refresh all non-preview sandboxes during the release preview window.
D. No advice needed, mixing instance types is important for regression testing.

Answer: C

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.

NEW QUESTION # 25
Metadata API supports deploy () and retrieve () calls for file-based deployment.
Which two scenarios are the primary use cases for writing code to call retrieve () and deploy () methods directly?
Choose 2 answers

A. Development of a custom application in a sandbox organization. After completing development and testing, the application is then deployed Into a production organization using Metadata API.
B. Development of a customization in a sandbox organization. The deployment team then utilize the Ant Migration Tool to deploy the customization to an upper sandbox for testing.
C. Team development of an application in a Developer Edition organization. After completing development and testing, the application is Distributed via Lightning Platform AppExchange.
D. Development of a custom application in a scratch org. After completing development and testing, the application is then deployed into an upper sandbox using Salesforce CLI (SFDX)

Answer: B,D

NEW QUESTION # 26
Universal Containers are concerned that after each release, reports and dashboards seem to roll back to previous versions. Executives spend many hours crafting these dashboards to perfectly meet their needs, and are now questioning the Salesforce platform's ability to save things, even data records.
What can the Salesforce architect advise to stop the rollbacks from happening?

A. Back up all the reports just before the release, then reimport them after the release,
B. Ensure report metadata is exported daily and that it is merged into the developer branches before the next release.
C. Use a third-party data warehouse.
D. Remove the executive's ability to change reports, and only allow developers to do that.

Answer: B

Explanation:
Explanation
The best way to stop the rollbacks from happening is to ensure report metadata is exported daily and that it is merged into the developer branches before the next release. This way, the reports and dashboards will be up to date and consistent across all environments. Using a third-party data warehouse is not a solution, as it does not address the root cause of the rollbacks. Removing the executive's ability to change reports is not a good practice, as it limits their flexibility and autonomy. Backing up and reimporting the reports before and after the release is not a reliable or scalable solution, as it can introduce errors and inconsistencies.

NEW QUESTION # 27
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