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NEW QUESTION: 1
You are automating the build process for a Java-based application by using Azure DevOps.
You need to add code coverage testing and publish the outcomes to the pipeline.
What should you use?
A. Cobertura
B. MSTest
C. Coverlet
D. NUnit
E. Coverage.py
F. Bullseye Coverage
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Use Publish Code Coverage Results task in a build pipeline to publish code coverage results to Azure Pipelines or TFS, which were produced by a build in Cobertura or JaCoCo format.
References:
https://docs.microsoft.com/en-us/azure/devops/pipelines/tasks/test/publish-code-coverage-results
NEW QUESTION: 2
You develop an IoT solution by using Nodejs. The solution is ready to deploy to the production environment.
You must implement the device twin capabilities of Azure IoT Hub. You must register a sensor named Sensor00. The IoT Hub name is Hub01.
You need to register the endpoint with ContosoHub01 so that you can configure them from your solution.
Which four commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION: 3
Which of the following process ensures that extracted data are ready for analysis?
A. Data access
B. Data gathering
C. Data validation
D. Data analysis
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Data validation ensures that extracted data are ready for analysis. One objective is to perform data quality tests to ensure data are valid complete and free of errors. This may also involve making data from different sources suitable for comparative analysis.
Incorrect Answers:
A: Analysis of data involves simple set of steps or complex combination of commands and other functionality. Data analysis is designed in such a way to achieve the stated objectives from the project plan. Although this may be applicable to any monitoring activity, it would be beneficial to consider transferability and scalability. This may include robust documentation, use of software development standards and naming conventions.
C: Data gathering is the process of collecting data on risk to be monitored, prepare a detailed plan and define the project's scope. In the case of a monitoring project, this step should involve process owners, data owners, system custodians and other process stakeholders.
D: In the data access process, management identifies which data are available and how they can be acquired in a format that can be used for analysis. There are two options for data extraction:
Extracting data directly from the source systems after system owner approval
Receiving data extracts from the system custodian (IT) after system owner approval