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NEW QUESTION: 1
You are preparing to build a deep learning convolutional neural network model for image classification. You create a script to train the model using CUDA devices.
You must submit an experiment that runs this script in the Azure Machine Learning workspace.
The following compute resources are available:
* a Microsoft Surface device on which Microsoft Office has been installed. Corporate IT policies prevent the installation of additional software
* a Compute Instance named in the workspace with 2 CPUs and 8 GB of memory
* an Azure Machine Learning compute target named with eight CPU-based nodes
* an Azure Machine Learning compute target named with four CPU and GPU-based nodes You need to specify the compute resources to be used for running the code to submit the experiment, and for running the script in order to minimize model training time.
Which resources should the data scientist use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

NEW QUESTION: 2
You install Azure ATP sensors on domain controllers.
You add a member to the Domain Admins group. You view the timeline in Azure ATP and discover that information regarding the membership change is missing.
You need to meet the security requirements for Azure ATP reporting.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
References:
https://docs.microsoft.com/en-us/azure-advanced-threat-protection/atp-advanced-audit-policy

NEW QUESTION: 3
A customer is developing a new eCommerce section of their website and plans to leverage transactional data in customer journeys.
Which two Marketing Cloud features will support this effort?
Choose 2 answers
A. Cloud Pages
B. Web Analytics Connector
C. Data Designer
D. Content Builder
Answer: B,D

NEW QUESTION: 4
Which of these numbers are adjusted by a neural network as it learns from a training dataset (select 2 answers)?
A. Weights
B. Biases
C. Continuous features
D. Input values
Answer: A,B
Explanation:
Explanation
A neural network is a simple mechanism that's implemented with basic math. The only difference between the traditional programming model and a neural network is that you let the computer determine the parameters (weights and bias) by learning from training datasets.
Reference:
https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-tensorflow-playground