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Universal Containers (UC) is an enterprise financial company that operates in EMEA, AMER, and APAC. Because of regulatory requirements, UC has a separate Salesforce org for each region. Each org has its own customizations that fit for the region needs, but there are also standard processes that apply to all region ' s requirements.
As the deployment architect, what should be considered for the multi-org deployment strategy?
Universal Containers has started building a customer Lightning community that contains a few dozen Aura components. The development team lead has come to the Salesforce architect about questions regarding testing the Lightning components.
What two knowledge points can the architect pass to the development team lead? Choose 2 answers
Universal Containers (UC) is a high-tech company using SFDX tools and methodologies for its Salesforce development Configuration to Unlocked Packages.
Which two best practices should an architect recommend to support UC ' s new package development strategy? Choose 2 answers
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?
Universal Containers (UC) is embarked on a large Salesforce transformation journey, UC ' s DevOps team raised a question about tracking Salesforce metadata throughout the development lifecycle across sandboxes all the way to production.
As the deployment architect of the project, what should be the recommendation to track which version of each feature in different environments?
What are two limitations an architect should consider when designing a strategy for managing technical reference data, with multiple related objects? Choose 2 answers
What three tools should an architect recommend to support application lifecycle methodology? Choose 3 answers
Universal Containers (UC) is using Salesforce Performance Edition. They are planning to host weekly training sessions for the next four weeks. Each training will be five days long and a new set of trainees will attend every week. UC wants to train these users on samples of production data and delete all the data generated during the training session at the end of the week.
What optimal option should a technical architect recommend?