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NEW QUESTION: 1
Refactoring, as it applies to the practice of extreme Programming (XP), refers to:
A. Modifying the cost baseline due to an increased estimate at completion and a negative cost variance.
B. Restructuring the estimate by applying a higher cost performance index during is what if +- analysis.
C. Modifying the project due to scope changes, resource availability, and cost and schedule variances.
D. Restructuring of code so as to improve the code without changing its external behavior.
Answer: D

NEW QUESTION: 2

A. Option B
B. Option A
C. Option C
D. Option D
Answer: B
Explanation:
When the user has launched an EC2 instance from an instance store backed AMI and the admin team
wants to create an AMI from it, the user needs to setup the AWS AMI or the API tools first. Once the tool is
setup the user will need the following credentials:
AWS account ID;
AWS access and secret access key;
X.509 certificate with private key.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/creating-an-ami-instance-store.html

NEW QUESTION: 3
You are designing a solution that will ingest temperature data from loT devices, calculate the average temperature, and then take action based on the aggregated data. The solution must meet the following requirements:
*Minimize the amount of uploaded data.
* Take action based on the aggregated data as quickly as possible.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure Functions
Azure Function is a (serverless) service to host functions (little piece of code) that can be used for e. g. event driven applications.
General rule is always difficult since everything depends on your requirement but if you have to analyze a data stream, you should take a look at Azure Stream Analytics and if you want to implement something like a serverless event driven or timer-based application, you should check Azure Function or Logic Apps.
Note: Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high value AI without writing it in-house. Azure services like Azure Functions, Azure Stream Analytics, and Azure Machine Learning can all be run on-premises via Azure IoT Edge.
Box 2: An Azure IoT Edge device
Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on business insights instead of data management.
References:
https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge