Universal Containers is validating an outbound change set from the Developer Sandbox to the production org. Which two locking behaviors will occur during a deployment? Choose 2 answers
A. The production org will be locked. Administrators cannot modify metadata during this time
B. The sandbox org will be locked. Administrators cannot modify metadata
C. The production org will be locked. Users can only Read data during this time
D. The production org will be locked. Users will still be able to Read/Write data to the org
Explanation:
A and D are the correct answers, as they are the locking behaviors that will occur during a deployment. A is correct, as the production org will be locked and administrators cannot modify metadata during this time, to prevent any conflicts or inconsistencies in the deployment. D is correct, as the production org will be locked and users will still be able to read/write data to the org, to minimize the impact on the business operations and user experience. B is incorrect, as the sandbox org will not be locked and administrators can still modify metadata, as the sandbox org is not the target of the deployment. C is incorrect, as the production org will not be locked and users can only read data during this time, as this would disrupt the business operations and user experience. You can learn more about the locking behaviors in the [Deploy Changes with Change Sets] unit on Trailhead.
Universal Containers (UC) have developed a managed package targeted for AppExchange. The product includes some Apex code to customize and create layouts. UC is in the testing phase of the package, so it's not certified yet. During testing on the target org, the Apex code for the layouts fails. Why are the Apex classes not able to access the metadata of the target org during testing?
A. Apex Settings to allow the access to metadata is not switched on.
B. UC needs to turn on Apex Settings within the custom metadata type.
C. The solution is flawed. UC should utilize the Tooling API from a web service call to modify the layouts.
D. UC needs to get the managed package certified by the Salesforce security review.
Explanation:
The reason why the Apex classes are not able to access the metadata of the target org during testing is that UC needs to get the managed package certified by the Salesforce security review. This is because Apex code in a managed package can only access the metadata of the target org if the package has passed the security review and has been granted the Modify Metadata permission. See Apex Metadata API for more details.
Universal Containers wants to delete the day’s test data in a partial copy sandbox every night, setting the sandbox back to a fresh state for tomorrows testing. The test data is approximately 1GB. What is the best strategy the architect should recommend?
A. Manually delete all records individually.
B. Execute a batch job that deletes all records created on the day.
C. Create a new developer copy sandbox every night.
D. Refresh the sandbox every night.
Explanation:
The best strategy to delete the day’s test data in a partial copy sandbox every night is to execute a batch job that deletes all records created on the day. This way, you can automate the process of cleaning up the test data and avoid manual work. Manually deleting all records individually is time-consuming and error-prone. Creating a new developer copy sandbox every night is unnecessary and wasteful, as developer copy sandboxes have limited storage and functionality. Refreshing the sandbox every night is also not feasible, as partial copy sandboxes have a refresh interval of 5 days.
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?
A. Create test data in production before deploying the test classes
B. Set SeeAllData to True to use the data in production.
C. Explicitly set SeeAllData to True and generate data in test methods.
D. Do not use SeeAllData and generate data in the test methods
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.
Universal Containers (UC) has four different business units (BUS) with different processes that share global customers. They have implemented a multi-org strategy with one org consolidating customer 360-degree view, and four orgs for the different BUS. Each of the BU orgs read and write customer information from/to the customer 360-degree view org in real time. UC is now launching a new BU that will use Salesforce. It does not share customers with the other BUS and needs flexibility in their Business processes. What should an architect recommend as org strategy for this new BU<br><br>
A. Use a new stand-alone Salesforce org for the new BU, not integrated with the others.
B. Deploy the new BU in customer 360-degree view org, and read and write customer information from it without need of custom integration.
C. Use the same Salesforce org of another BU that shares geographical localization with the new BU.
D. Use a new Salesforce org for the new BU, and customize integration so that it reads and writes customer information from the customer data org
Explanation:
The best option for the new BU is to use a new stand-alone Salesforce org, not integrated with the others. This will allow the new BU to have flexibility in their business processes, without affecting or being affected by the other BUs. Since the new BU does not share customers with the other BUs, there is no need to integrate with the customer 360-degree view org, which would add complexity and cost. Deploying the new BU in the customer 360-degree view org is not a good idea, as it would create confusion and duplication of data, as well as limit the customization options for the new BU. Using the same Salesforce org of another BU that shares geographical localization with the new BU is also not a good idea, as it would create conflicts and dependencies between the two BUs, as well as reduce the performance and security of the org. Using a new Salesforce org for the new BU, and customizing integration so that it reads and writes customer information from the customer data org is unnecessary and inefficient, as the new BU does not need to access or update the customer data of the other BUs.
A developer on the Universal Containers team has written a test class to test a method that involves a web service callout. Within the test class, the developer is supposed to load test data, create an instance of the Mock object, set the Test.setMock() to that Mock object, call startTest(), execute the code that makes the callout, call stopTest(), and compare the result with expectations. Unfortunately, the Developer forgot to use the Test.setMock() method step. What would happen when the developer runs this test class?
A. The test class fails without error message since the test class will simply skip the webservice callout during the execution.
B. The test class fails and the developer will see a message stating: Methods defined asTestMethod do not support Web service callouts.
C. The test class would make the web service callout and may or may not fail depending on the circumstances on the web service end
D. It is impossible to miss the Test.setMock() statement, the Developer Console will not let the developer save it since the test method callout
Explanation:
The test class will fail and the developer will see a message stating: Methods defined as TestMethod do not support Web service callouts. This is because the test class cannot make a real web service callout, as it would depend on an external service that may not be available or reliable. Therefore, the developer needs to use the Test.setMock() method to specify a mock class that simulates the web service response. The test class will not skip the web service callout, nor will it make the actual callout. It is possible to save the test class without the Test.setMock() statement, but it will not run successfully.
Universal Containers wants to implement a release strategy with major releases every four weeks and minor releases every week. Major releases follow the Development, System Testing (SIT), User Acceptance Testing (UAT), and Training Minor releases follow Development and User Acceptance Testing (UAT) stages. What represents a valid environment strategy consideration for UAT?
A. Minor releases use Partial copy and Major releases use Full copy
B. Minor and Major releases use separate Developer pro
C. Minor releases use Developer and Major releases Full copy
D. Minor and Major releases use the same Full copy.
Explanation:
Minor and Major releases should use the same Full copy sandbox for UAT, as this will ensure that the testing environment is consistent and has the same data and configuration as the production org.
Universal Containers has three types of releases in their release management strategy: daily, minor (monthly), and major (quarterly). A user has requested a new report to support an urgent client request. What release strategy would an Architect recommend?
A. Utilize the major release process to create the report directly in production bypassing the full sandbox.
B. Utilize the minor release process to create the report directly in production bypassing the full sandbox.
C. Utilize the major release process to create the report in a full sandbox and then deploy it to production.
D. Utilize the daily release process to create the report directly in a full sandbox and then deploy it to production.
Explanation:
The daily release process is the most suitable for creating a new report to support an urgent client request, as it can deliver the functionality in a timely manner. Creating the report in a full sandbox and then deploying it to production can ensure the quality and security of the report.
At any given time, Universal Containers has 10 Apex developers building new functionality and fixing bugs. Which branching strategy should an Architect recommend that mitigates the risk of developers overwriting others changes?
A. Have all developers build new functionality in new branches, but fix bugs in the HEAD
B. Have all developers work in the same branch, continuously testing for regressions
C. Have developers work in separate branches and merge their changes in a common branch for testing
D. Don't use source control. Rely on Salesforce's built-in conflict detection mechanism
Explanation:
This is the correct answer because having developers work in separate branches and merge their changes in a common branch for testing can reduce the risk of overwriting others’ changes and ensure code quality and consistency. Having all developers work in the same branch or in the HEAD may cause conflicts and errors. Not using source control is not a good practice and may result in data loss and lack of version control.
Universal Containers is working on the next phase of development for their Salesforce implementation involving a large amount of custom development. Which two strategies should be considered to address a critical production issue occurring in the middle of development? Choose 2 answers
A. Create separate branches for current development and production bug fixes and deploy the fix with current development when ready
B. Utilize one branch for both development and production bug fixes to avoid out-of-sync branches and simplify deployment
C. Utilize a source control system to allow separate branches for current development and production bug fixes
D. Refresh a sandbox for replication of the issue and testing the use -case scenarios once the code is fixed
Explanation:
C and D are the correct answers, as they are the best strategies to address a critical production issue occurring in the middle of development. C is correct, as using a source control system to allow separate branches for current development and production bug fixes can help to isolate the changes and avoid conflicts or overwriting. D is correct, as refreshing a sandbox for replication of the issue and testing the use-case scenarios once the code is fixed can help to ensure the quality and functionality of the solution before deploying it to production. A is incorrect, as creating separate branches for current development and production bug fixes and deploying the fix with current development when ready can delay the resolution of the production issue and introduce new risks or errors. B is incorrect, as utilizing one branch for both development and production bug fixes to avoid out-of-sync branches and simplify deployment can create confusion and complexity in the code and make it harder to test and validate. You can learn more about these strategies in the Application Lifecycle and Deployment module on Trailhead.
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