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NEW QUESTION: 1
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

NEW QUESTION: 2
Scenario: On CE7 which statement is correct regarding Traffic the QoS policy applied to the gi0/0 interface in the input direction?


A. Traffic matching the "MARKING1" class-map will be marked with MPLS EXP 5
B. All incoming packets with the DSCP EF marking with be marked with MPLS EXP 0
C. All incoming packets not matched bythe"MARKING1" class-map will be dropped
D. Traffic matching the "MARKING2" class-map will be marked with qos-group 5
Answer: D
Explanation:
#show policy-map interface <name> ---check the class-map field

NEW QUESTION: 3
During a technology workshop, the customer asks about differences between converged and Fibre Channel switches.
What would be a benefit of using FlexFabric switches in a fibre channel storage environment?
A. in-flight compression and encryption provides efficient link utilization and security
B. zones can be configured for QoS with high, medium, and low priorities within a fabric on a zone by zone basis
C. support for combining multiple physical switches into one virtual switch with a single IP address
D. support for six Ethernet and two Fibre Channel, or six Ethernet and two iSCSI or eight Ethernet adapters per server
Answer: C

NEW QUESTION: 4
VisualStudioを使用してAzureFunctionアプリを開発しています。このアプリは、AzureWebアプリによって入力された注文を処理します。 Webアプリは、注文情報をAzure QueueStorageに配置します。
以下に示すAzureFunctionAppコードを確認する必要があります。
注：正しい選択はそれぞれ1ポイントの価値があります。


Answer:
Explanation:

Explanation

Box 1: No
ExpirationTime - The time that the message expires.
InsertionTime - The time that the message was added to the queue.
Box 2: Yes
maxDequeueCount - The number of times to try processing a message before moving it to the poison queue.
Default value is 5.
Box 3: Yes
When there are multiple queue messages waiting, the queue trigger retrieves a batch of messages and invokes function instances concurrently to process them. By default, the batch size is 16. When the number being processed gets down to 8, the runtime gets another batch and starts processing those messages. So the maximum number of concurrent messages being processed per function on one virtual machine (VM) is 24.
Box 4: Yes
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-queue