Explanation
In Scrum, the product owner is the person who represents the voice of the customer and the stakeholders. The product owner is responsible for defining and prioritizing the product backlog, which is a list of features, requirements, enhancements, and fixes that need to be delivered by the team. The product owner collaborates with the team and the scrum master to ensure that the product backlog is clear, valuable, and aligned with the product vision and goals.

Explanation
The question is about initiating a process via an Appian web API. The HTTP request method that the API should use is POST, as it is the method that allows sending data to the server and creating or updating a resource. In this case, the data would be the process parameters and the resource would be the process instance. The other options are not suitable for this purpose, as they either do not allow sending data or do not create or update a resource. References:
* HTTP Request Methods
* Start Process Web API

Explanation
Two true statements are:
* It is not possible to undo changes from an import to all types of objects. Once a package is imported to an environment, it applies changes to the existing objects or creates new objects based on the package contents. There is no built-in mechanism to revert these changes or delete these objects automatically.
Therefore, it is important to test the package in a non-production environment before importing it to production, and to backup any objects that may be overwritten by the import.
* It is possible to import the same package multiple times. A package can be imported to an environment more than once, as long as it does not contain any conflicts or errors that would prevent the import.
However, importing the same package multiple times may not have any effect if there are no changes in the package contents or in the target environment since the last import. References: Prepare Deployment Packages, Application Deployment Guidelines

Explanation
The metric from the data_store_details.csv file that will help you understand the number of operations against data store is Total Count. This metric represents the total number of queries, inserts, updates, deletes, and executes performed against the data store during the specified time period. You can use this metric to identify which data stores are heavily used and may need performance tuning or scaling. References: [Data Store Details Report], [Data Store Metrics]