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NEW QUESTION: 1
"I cannot test the software until I code the software." This expression describes which of the following dependencies?
A. Discretionary
B. Preferential
C. Rational
D. Mandatory or hard
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Mandatory dependencies may be required contractually or be inherent in the nature of the project work.
They describe a relationship in which the successor activity cannot be started because of physical constraints until the predecessor activity has been finished. For example, software cannot be tested until it has been developed (or coded). They should not be confused with assigning schedule constraints in the scheduling tool.

NEW QUESTION: 2
A framework for security analysis is composed of a set of instructions, assumptions, and limitations to analyze and solve security concerns and develop threat free applications. Which of the following frameworks helps an organization in the evaluation of the company's information security with that of the industrial standards?
A. Microsoft Internet Security Framework
B. Nortell's Unified Security Framework
C. The IBM Security Framework
D. Information System Security Assessment Framework
Answer: D

NEW QUESTION: 3
You create a multi-class image classification deep learning experiment by using the PyTorch framework. You plan to run the experiment on an Azure Compute cluster that has nodes with GPU's.
You need to define an Azure Machine Learning service pipeline to perform the monthly retraining of the image classification model. The pipeline must run with minimal cost and minimize the time required to train the model.
Which three pipeline steps should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Configure a DataTransferStep() to fetch new image data...
Step 2: Configure a PythonScriptStep() to run image_resize.y on the cpu-compute compute target.
Step 3: Configure the EstimatorStep() to run training script on the gpu_compute computer target.
The PyTorch estimator provides a simple way of launching a PyTorch training job on a compute target.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-pytorch

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