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NEW QUESTION: 1
You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions.
You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of fraud based on transaction data input.
You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used to deploy the model.
What should the entry script do?
A. Register the model with appropriate tags and properties.
B. Load the model and use it to predict labels from input data.
C. Specify the number of cores and the amount of memory required for the inference compute.
D. Create a Conda environment for the web service compute and install the necessary Python packages.
E. Start a node on the inference cluster where the web service is deployed.
Answer: B
Explanation:
The entry script receives data submitted to a deployed web service and passes it to the model. It then takes the response returned by the model and returns that to the client. The script is specific to your model. It must understand the data that the model expects and returns.
The two things you need to accomplish in your entry script are:
Loading your model (using a function called init())
Running your model on input data (using a function called run())
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

NEW QUESTION: 2
Which of the following two statements about Cisco NSF and SSO are the most relevant to the network designer? (Choose two.)
A. Cisco NSF-aware neighbor relationships are independent of any tuned IGP timers
B. The primary deployment scenario for Cisco NSF with SSO is in the Distribution and Core layers.
C. SSO and NSF each require the devices to either be graceful restart-capable or graceful restart-aware.
D. You can reduce outages to 1 to 3 seconds by using SSO in a Layer 2 environment or Cisco NSF with SSO in a Layer 3 environment.
E. In a fully redundant topology adding redundant supervisors with NSF and SSO may cause longer convergence times than single supervisors with tuned IGP timers
Answer: C,E
Explanation:
https://www.safaribooksonline.com/library/view/foundation-learning-
guide/9780132652933/ch02.html
"In a fully redundant topology with tuned IGP timers, adding redundant supervisors with Cisco nonstop forwarding (NSF) and stateful switchover (SSO) may cause longer convergence times than single supervisors with tuned IGP timers."
"A graceful restart-aware neighbor is required so that graceful restart -capable systems can rebuild their databases and maintain their neighbor adjacencies across a switchover."

NEW QUESTION: 3

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A

NEW QUESTION: 4

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A