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NEW QUESTION: 1
Refer to the exhibit.
What are two effect of this configuration? (Choose two.)
A. The 209.165.201.0/27 subnet is assigned as the outside local address range.
B. The 10.1.1.0/27 subnet is assigned as the inside local addresses.
C. Inside source addresses are translated to the 209.165.201.0/27 subnet.
D. The 10.1.1.0/27 subnet is assigned as the inside global address range.
E. It establishes a one-to-one NAT translation.
Answer: B,C
NEW QUESTION: 2
A Solutions Architect is investigating purchasing options for a batch processing application on Amazon EC2. The batch job downloads an image from an Amazon S3 bucket, adds copyright information, and uploads it back to Amazon S3. It normally takes 5 to 10 hours to process all the files uploaded each week. The application has built-in capabilities to process files in parallel, recover from the instance failures, and continue the processing from where it left off.
What is the MOST cost-effective purchasing option the Solutions Architect can recommed?
A. Spot Instances
B. Standard Reserved Instances
C. Scheduled Reserved Instances
D. On-Demand Instances
Answer: C
NEW QUESTION: 3
You create a multi-class image classification deep learning model.
The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model.
You need to use the Azure Machine Learning SDK to configure the schedule for the pipeline.
Which four actions should you perform 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: Publish the pipeline.
To schedule a pipeline, you'll need a reference to your workspace, the identifier of your published pipeline, and the name of the experiment in which you wish to create the schedule.
Step 2: Retrieve the pipeline ID.
Needed for the schedule.
Step 3: Create a ScheduleRecurrence..
To run a pipeline on a recurring basis, you'll create a schedule. A Schedule associates a pipeline, an experiment, and a trigger.
First create a schedule. Example: Create a Schedule that begins a run every 15 minutes:
recurrence = ScheduleRecurrence(frequency="Minute", interval=15)
Step 4: Define an Azure Machine Learning pipeline schedule..
Example, continued:
recurring_schedule = Schedule.create(ws, name="MyRecurringSchedule",
description="Based on time",
pipeline_id=pipeline_id,
experiment_name=experiment_name,
recurrence=recurrence)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-schedule-pipelines
NEW QUESTION: 4
You apply a new inbound access list to routers, blocking UDP packets to the HSRP group. Which two effects does this action have on HSRP group process? (Choose two )
A. HSRP redundancy works as expected.
B. HSRP redundancy fails
C. Both the active and standby routers become active
D. The routers in the group generate duplicate IP address warnings
E. The active router immediately becomes the standby router
Answer: B,C