Question # 1
| 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) |
| A. Request a partial Sandbox copy after the next Salesforce release. | | B. Generate mock data that mimics production data shape and volume. | | C. Perform data masking on full sandbox after a refresh | | D. Use Query Analyzer in production |
B. Generate mock data that mimics production data shape and volume.
C. Perform data masking on full sandbox after a refresh
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.
Question # 2
| Universal Containers business users often observe that newly released features are
resulting in other previously existing and stable functionality being broken. Which approach
should an Architect recommend to prevent regression? |
| A. Utilize the developer console to run test suites for the affected functionality | | B. Utilize unit and functional test automation as part of a continuous integration strategy | | C. Utilize Salesforce Apex Hammer to automatically test all functionality | | D. Freeze development of new features and re-architect the system to remove the bugs |
B. Utilize unit and functional test automation as part of a continuous integration strategy
Explanation: This is the correct answer because utilizing unit and functional test
automation as part of a continuous integration strategy can prevent regression by ensuring
that the code and configuration are always tested and validated before deployment.
Utilizing the developer console to run test suites is not sufficient and may not cover all the
functionality. Utilizing Salesforce Apex Hammer is not a feasible option as it is an internal
tool that Salesforce uses to test customer orgs before major releases. Freezing
development of new features and re-architecting the system is not a realistic or cost-effective approach to prevent regression.
Question # 3
| Universal Containers (UC) is working with Salesforce CPQ, which uses configuration
SObjects to drive business logic.
What are two best practice recommendations an architect should propose to allow UC to
deploy CPQ features as part of their CI/CD process?
Choose 2 answers |
| A. Use a third-party product | | B. Build an Apex framework to deploy CPQ records. | | C. Use an open source SFDX plugin and version control | | D. Use data loader to deploy CSV files |
B. Build an Apex framework to deploy CPQ records.
C. Use an open source SFDX plugin and version control
Explanation: Building an Apex framework to deploy CPQ records and using an open
source SFDX plugin and version control are two best practice recommendations an
architect should propose to allow UC to deploy CPQ features as part of their CI/CD
process. Building an Apex framework to deploy CPQ records is a good practice, as it
allows the architect to automate the deployment of the configuration SObjects that drive the
business logic of CPQ, and to avoid manual steps or errors. Using an open source SFDX
plugin and version control is another good practice, as it allows the architect to leverage the
benefits of the Salesforce DX development model, such as source-driven development,
modular packaging, and team collaboration. Using a third-party product or data loader to
deploy CSV files are not best practices, as they can introduce additional costs,
dependencies, or risks to the deployment process.
Question # 4
| NorthernTrail Outfitters (NTO) has well-defined release management processes for both
large and small projects. NTO's development team created a workflow and a trigger for the
changes in its opportunity renewal process.
What should the architect recommend for release planning of these changes? |
| A. Plan this as a patch release and align with the Salesforce patch release. | | B. Plan this as a major release and align with a Salesforce major release. | | C. Plan this as a minor release with training and change management | | D. Plan this an interim release after checking with Salesforce support |
C. Plan this as a minor release with training and change management
Explanation: A workflow and a trigger are considered minor changes that do not require
alignment with a Salesforce major or patch release. However, they still need proper testing,
training, and change management before being deployed to production. Therefore, the
architect should plan this as a minor release with training and change management.
Question # 5
| 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. Team development of an application in a Developer Edition organization.
After completing development and testing, the application is Distributed via
Lightning Platform AppExchange. | | B. 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) | | C. 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. | | D. Development of a custom application in a sandbox organization. After completing
development and testing, the application is then deployed into a production organization
usingMetadata API. |
A. 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 sandbox organization. After completing
development and testing, the application is then deployed into a production organization
usingMetadata API.
Explanation: The Metadata API is mainly used for file-based deployment, such as deploying an application from a Developer Edition org to the AppExchange, or from a
sandbox org to a production org. The Ant Migration Tool is a wrapper around the Metadata
API, so it is not a direct use case for writing code to call retrieve() and deploy() methods.
The Salesforce CLI (SFDX) uses the Source-Driven Development model, which relies on
the source code as the source of truth, rather than the Metadata API.
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