[Free] 2019(Nov) EnsurePass Microsoft AI-100 Dumps with VCE and PDF 11-20

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Question No.11

Your company plans to implement an Al solution that will analyse data from loT devices.

Data from the devices will be analysed in real time. The results of the analysis will be stored in a SQL database.

You need to recommend a data processing solution that uses the Transact-SQL language. Which data processing solution should you recommend?

  1. Azure Stream Analytics

  2. SQL Server Integration Services (SSIS)

  3. Azure Event Hubs

  4. Azure Machine Learning

Correct Answer: A

Explanation:

https://www.linkedin.com/pulse/getting-started-azure-iot-services-stream-analytics-rob-tiffany

Question No.12

DRAG DROP

You are designing an AI solution that will analyze media data. The data will be stored in Azure Blob storage.

You need to ensure that the storage account is encrypted by using a key generated by the hardware security module (HSM) of your company.

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.

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Correct Answer:

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Question No.13

You need to design an application that will analyze real-time data from financial feeds. The data will be ingested into Azure loT Hub. The data must be processed as quickly as possible in the order in which it is ingested. Which service should you include in the design?

  1. Azure Event Hubs

  2. Azure Data Factory

  3. Azure Stream Analytics

  4. Apache Kafka

Correct Answer: D

Question No.14

You are designing an AI solution in Azure that will perform image classification.

You need to identify which processing platform will provide you with the ability to update the logic over time.

The solution must have the lowest latency for inferencing without having to batch. Which compute target should you identify?

  1. graphics processing units (GPUs)

  2. field-programmable gate arrays (FPGAs)

  3. central processing units (CPUs)

  4. application-specific integrated circuits (ASICs)

Correct Answer: B

Explanation:FPGAs, such as those available on Azure, provide performance close to ASICs. They are also flexible and reconfigurable over time, to implement new logic.

Question No.15

DRAG DROP

You need to design the workflow for an Azure Machine Learning solution. The solution must meet the following requirements:

Retrieve data from file shares, Microsoft SQL Server databases, and Oracle databases that in an on-premises network.

Use an Apache Spark job to process data stored in an Azure SQL Data Warehouse database.

Which service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Correct Answer:

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Question No.16

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have Azure IoT Edge devices that generate streaming data.

On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.

Solution: You deploy Azure Stream Analytics as an IoT Edge module. Does this meet the goal?

  1. Yes

  2. No

Correct Answer: A

Explanation:

Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:

temporary and persistent.

Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.

References:

https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning- anomaly-detection

Question No.17

You have Azure loT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure loT hub. You need to ensure that every event is processed as quickly as possible. What should you use?

  1. Apache Kafka

  2. Azure Stream Analytics record functions

  3. Azure Stream Analytics windowing functions

  4. Azure Machine Learning on the loT Edge devices

Correct Answer: A

Explanation:

https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-connector-iot-hub

Question No.18

Your company develops an AI application that is orchestrated by using Kubernetes. You need to

deploy the application. Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  1. Create a Kubernetes cluster.

  2. Create an Azure Container Registry instance.

  3. Create a container image file.

  4. Create a Web App for Containers.

  5. Create an Azure container instance.

Correct Answer: ABC

Explanation:

https://docs.microsoft.com/en-us/azure/aks/tutorial-kubernetes-prepare-app

Question No.19

You are building an Azure Analysis Services cube for your Al deployment.

The source data for the cube is located in an on premises network in a Microsoft SQL Server database.

You need to ensure that the Azure Analysis Services service can access the source data. What should you deploy to your Azure subscription?

  1. a site-to-site VPN

  2. a network gateway

  3. a data gateway

  4. Azure Data Factory

Correct Answer: C

Explanation:

From April 2017 onward we can use On-premises Data Gateway for Azure Analysis Services. This means you can connect your Tabular Models hosted in Azure Analysis Services to your on- premises data sources through On-premises Data Gateway.

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References:

On-premises Data Gateway for Azure Analysis Services

Question No.20

HOTSPOT

You plan to deploy an Azure Data Factory pipeline that will perform the following:

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Move data from on-premises to the cloud. Consume Azure Cognitive Services APIs.

You need to recommend which technologies the pipeline should use. The solution must minimize custom code.

What should you include in the recommendation? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Correct Answer:

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