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NEW QUESTION: 1
SCALE : TONE :
A. prism : hue
B. texture : sensation
C. spectrum : color
D. wave : frequency
E. form : shape
Answer: C
Explanation:
This is a "part-to-whole" analogy. A musical SCALE is comprised of a series of TONES that are arranged
in a fixed sequence; similarly, the spectrum is comprised of a series of colors arranged in a particular
sequence.

NEW QUESTION: 2
プロジェクトの長所、短所、機会、脅威(SWOT)の分析は、次のように知られています。
A. プロジェクトの利点の比較
B. 品質コストの計算
C. リスクの特定
D. 測定分析の実行
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
An IT department creates the following Azure resource groups and resources:

The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace. You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed.
You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics.
Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace. Run the training script as an experiment on the aks-cluster compute target.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Need to attach the mlvm virtual machine as a compute target in the Azure Machine Learning workspace.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target