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AI-100 PDF DEMO:
QUESTION NO: 1
You create an Azure Cognitive Services resource.
A data scientist needs to call the resource from Azure Logic Apps.
Which two values should you provide to the data scientist? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. resource name
B. resource group name
C. endpoint URL
D. subscription ID
E. access key
Answer: C,E
Explanation
References:
https://www.c-sharpcorner.com/article/using-cognitive-service-face-api-with-azure-logic-app/
QUESTION NO: 2
You are designing an AI solution that will be used to find buildings in aerial pictures.
Users will upload the pictures to an Azure Storage account. A separate JSON document will contain for the pictures.
The solution must meet the following requirements:
* Store metadata for the pictures in a data store.
* Run a custom vision Azure Machine Learning module to identify the buildings in a picture and the position of the buildings' edges.
* Run a custom mathematical module to calculate the dimensions of the buildings in a picture based on the metadata and data from the vision module.
You need to identify which Azure infrastructure services are used for each component of the AI workflow.
The solution must execute as quickly as possible.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Box 1: Azure Blob Storage
Containers and blobs support custom metadata, represented as HTTP headers.
Box 2: NV
The NV-series enables powerful remote visualisation workloads and other graphics-intensive applications backed by the NVIDIA Tesla M60 GPU.
Note: The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
Box 3: F
F-series VMs feature a higher CPU-to-memory ratio. Example use cases include batch processing, web servers, analytics and gaming.
Incorrect:
A-series VMs have CPU performance and memory configurations best suited for entry level workloads like development and test.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/
QUESTION NO: 3
You have a solution that runs on a five-node Azure Kubernetes Service (AKS) cluster. The cluster uses an Nseries virtual machine.
An Azure Batch AI process runs once a day and rarely on demand.
You need to recommend a solution to maintain the cluster configuration when the cluster is not in use. The solution must not incur any compute costs.
What should you include in the recommendation?
A. Downscale the cluster to zero nodes
B. Downscale the cluster to one node
C. Delete the cluster
Answer: B
Explanation
An AKS cluster has one or more nodes.
References:
https://docs.microsoft.com/en-us/azure/aks/concepts-clusters-workloads
QUESTION NO: 4
You need to design the Butler chatbot solution to meet the technical requirements.
What is the best channel and pricing tier to use? More than one answer choice may achieve the goal
Select the BEST answer.
A. premium channels that use the Free pricing tier
B. standard channels that use the Free pricing tier
C. premium channels that use the S1 pricing tier
D. standard channels that use the S1 pricing tier
Answer: C
Explanation
References:
https://azure.microsoft.com/en-in/pricing/details/bot-service/
QUESTION NO: 5
You are designing an AI solution that will use IoT devices to gather data from conference attendees, and then later analyze the data. The IoT devices will connect to an Azure IoT hub.
You need to design a solution to anonymize the data before the data is sent to the IoT hub.
Which three 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
Step 1: Create a storage container
ASA Edge jobs run in containers deployed to Azure IoT Edge devices.
Step 2: Create an Azure Stream Analytics Edge Job
Azure Stream Analytics (ASA) on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
Scenario overview:
Step 3: Add the job to the IoT devices in IoT
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge
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Updated: May 28, 2022