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Salesforce Certified Development Lifecycle and Deployment Architect certification exam is a valuable credential for professionals who want to demonstrate their expertise in designing, developing, and deploying Salesforce applications. It is a rigorous exam that requires a deep understanding of the Salesforce platform and the ability to apply best practices to build applications that meet the specific needs of clients. Passing Development-Lifecycle-and-Deployment-Architect Exam can open up new career opportunities and help professionals advance in their careers.

Salesforce Development-Lifecycle-and-Deployment-Architect certification exam is a valuable credential for professionals who want to demonstrate their expertise in Salesforce development, deployment, and lifecycle management. Salesforce Certified Development Lifecycle and Deployment Architect certification exam is designed to test the candidate's knowledge and proficiency in various areas of Salesforce development lifecycle and deployment. Candidates who pass this certification exam can enhance their career prospects and demonstrate their commitment to professional development in the Salesforce ecosystem.

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The Salesforce Development-Lifecycle-and-Deployment-Architect Exam consists of a multiple-choice section and a scenario-based section. The multiple-choice section tests candidates on their knowledge of Salesforce development best practices, while the scenario-based section tests their ability to apply these practices to real-world scenarios. Candidates must achieve a score of at least 65% to pass the exam, which is administered online and can be taken at any time.

Salesforce Certified Development Lifecycle and Deployment Architect Sample Questions (Q165-Q170):

NEW QUESTION # 165
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. 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.
B. 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.
C. 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.
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: B

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 # 166
Universal Containers (UC) has multiple development teams that work on separate streams of work, with different timelines. Each stream has different releases of code and config, and the delivery dates differ between them.
What is a suitable branching policy to recommend?

A. GitHub flow
B. Trunk-based development
C. Scratch-org-based development
D. Leaf-based development

Answer: A

NEW QUESTION # 167
Universal Containers CUC) is embarked on an enterprise salesforce transformation journey, UC would like to streamline and automate deployment to different sandboxes during the build phase. Upon customer acceptance in UAT, the company requested to automate the production deployment as well.
As the deployment architect, what is the recommendation to satisfy the customer requirements?

A. Recommend using the ANT script and build a custom application to run the script and use change sets to deploy supported metadata.
B. Recommend using SFDX and documents the deployment commands with steps to be executed for each environment.
C. Recommend using the Continues integration and the Continues deployment tool and build the pipeline to deploy to sandboxes and production.
D. Recommend using an AppExchange solution that packages the deployment components and you can run the deployment wizard to track deployment result.

Answer: C

Explanation:
The recommendation to satisfy the customer requirements is to use a Continuous Integration and Continuous Deployment tool and build the pipeline to deploy to sandboxes and production. A Continuous Integration and Continuous Deployment tool can automate the process of building, testing, and deploying the changes to different environments, as well as provide feedback and visibility into the deployment status and results. This can help to streamline and accelerate the deployment process, as well as to ensure consistency and quality across the environments. Using SFDX and documenting the deployment commands with steps to be executed for each environment is not a good recommendation, as it still requires manual intervention and execution, which can be error-prone and time-consuming. Using ANT script and building a custom application to run the script and use change sets to deploy supported metadata is not a good recommendation, as it involves using multiple tools and methods, which can increase the complexity and risk of the deployment process. Using an AppExchange solution that packages the deployment components and you can run the deployment wizard to track deployment result is not a good recommendation, as it may not support all the metadata types and features that need to be deployed, and it may not integrate well with the SFDX tools and methodologies that UC is using.

NEW QUESTION # 168
What are two advantages of automated test data loads over manual data loads Choose 2 answers

A. Automated loads cannot be scripted by CICD tools.
B. Automated loads will increase costs.
C. Automated loads can be done with no human oversight.
D. FRED Automated loads are reliable in their results.

Answer: C,D

Explanation:
Explanation
Two advantages of automated test data loads over manual data loads are that automated loads can be done with no human oversight and that automated loads are reliable in their results. Automated loads can be scheduled and executed without human intervention, which saves time and effort. Automated loads can also ensure that the data is consistent and accurate, which reduces errors and risks. Automated loads do not necessarily increase costs, as they can also save money in the long run by improving efficiency and quality.
Automated loads can also be scripted by CICD tools, which is one of the benefits of using them.

NEW QUESTION # 169
Universal Containers (UC) has multiple teams with major projects working concurrently in their own developer sandboxes. After deploying to production, a bug is discovered. Due to tight timelines, the development team has suggested correcting the bug in the user acceptance testing (UAT) environment, which is a full copy sandbox.
What should the architect recommend?

A. UC should spin up a new sandbox to use as a hot fix environment. Once the bug is corrected, the change should be applied to production and downstream environments.
B. The fix should be made in the developer environment where the project work was done.
Once the fix has been made, it should go through a full deployment/testing process and adhere to the normal project cadence.
C. Since the issue was found in production, it should be treated as a change request and go into the backlog as an enhancement.
D. Correcting the bug in UAT is ideal. Since UAT is a full copy, it will be the fastest location to fix and test the resolution.

Answer: A,C

NEW QUESTION # 170
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