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NEW QUESTION 1

Which RBAC role should you assign to the KeyManagers group?

  • A. Cognitive Services Contributor
  • B. Security Manager
  • C. Cognitive Services User
  • D. Security Administrator

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

NEW QUESTION 2

You develop a custom application that uses a token to connect to Azure Cognitive Services resources. A new security policy requires that all access keys are changed every 30 days.
You need to recommend a solution to implement the security policy.
Which three actions should you recommend be performed every 30 days? 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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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Step 1: Generate new keys in the Cognitive Service resources
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Step 2: Retrieve a token from the Cognitive Services endpoint Step 3: Update the custom application to use the new authorization
Each request to an Azure Cognitive Service must include an authentication header. This header passes along a subscription key or access token, which is used to validate your subscription for a service or group of services.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/authentication

NEW QUESTION 3

Your company recently deployed several hardware devices that contain sensors.
The sensors generate new data on an hourly basis. The data generated is stored on-premises and retained for several years.
During the past two months, the sensors generated 300 GB of data.
You plan to move the data to Azure and then perform advanced analytics on the data. You need to recommend an Azure storage solution for the data.
Which storage solution should you recommend?

  • A. Azure Queue storage
  • B. Azure Cosmos DB
  • C. Azure Blob storage
  • D. Azure SQL Database

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/data-storage

NEW QUESTION 4

Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you recommend?

  • A. an Azure HDInsight Storm cluster
  • B. Azure Notification Hubs
  • C. an Azure HDInsight Hadoop cluster
  • D. an Azure HDInsight R cluster

Answer: C

Explanation:
Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data.
You can use HDInsight to process streaming data that's received in real time from a variety of devices. References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

NEW QUESTION 5

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 in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create several Al models in Azure Machine Learning Studio.
You deploy the models to a production environment.
You need to monitor the compute performance of the models. Solution: You enable Model data collection.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: A

Explanation:
You need to enable Model data collection. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

NEW QUESTION 6

You have a database that contains sales data.
You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data.
The reference data is stored in CSV files.
You need to recommend an ingestion solution for each data stream.
What two solutions should you recommend? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

  • A. an Azure event hub for Stream1 and Azure Blob storage for Stream2
  • B. Azure Blob storage for Stream1 and Stream2
  • C. an Azure event hub for Stream1 and Stream2
  • D. Azure Blob storage for Stream1 and Azure Cosmos DB for Stream2
  • E. Azure Cosmos DB for Stream1 and an Azure event hub for Stream2

Answer: AB

Explanation:
Stream1 - Azure Event Stream2 - Blob Storage
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of
receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publishsubscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios.
Stream1, Stream2 - Blob Storage
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources: Azure Event Hubs
Azure IoT Hub Azure Blob storage
These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion

NEW QUESTION 7

You need to build an A) solution that will be shared between several developers and customers. You plan to write code, host code, and document the runtime all within a single user experience. You build the environment to host the solution.
Which three actions should you perform in sequence next? 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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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API. To create a notebook
AI-100 dumps exhibit Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook. Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook’s primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook

NEW QUESTION 8

You are designing an Al application that will perform real-time processing by using Microsoft Azure Stream Analytics.
You need to identify the valid outputs of a Stream Analytics job.
What are three possible outputs? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

  • A. a Hive table in Azure HDInsight
  • B. Azure SQL Database
  • C. Azure Cosmos DB
  • D. Azure Blob storage
  • E. Azure Redis Cache

Answer: BCD

Explanation:
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

NEW QUESTION 9

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 in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create several Al models in Azure Machine Learning Studio. You deploy the models to a production environment.
You need to monitor the compute performance of the models. Solution: You enable Applnsights diagnostics.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
You need to enable Model data collection. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

NEW QUESTION 10

Your company recently purchased several hundred hardware devices that contains sensors.
You need to recommend a solution to process the sensor data. The solution must provide the ability to write back configuration changes to the devices.
What should you include in the recommendation?

  • A. Microsoft Azure loT Hub
  • B. API apps in Microsoft Azure App Service
  • C. Microsoft Azure Event Hubs
  • D. Microsoft Azure Notification Hubs

Answer: A

Explanation:
References:
https://azure.microsoft.com/en-us/resources/samples/functions-js-iot-hub-processing/

NEW QUESTION 11

You create an image classification model in Azure Machine Learning Studio. You need to deploy the model as a containerized web service.
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.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
The following diagram illustrates the complete deployment workflow: The deployment workflow includes the following steps:
AI-100 dumps exhibit Register the model in a registry hosted in your Azure Machine Learning Service workspace
AI-100 dumps exhibitDeploy the image as a web service in the cloud or to edge devices
AI-100 dumps exhibit Monitor and collect data
AI-100 dumps exhibit Update a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym

NEW QUESTION 12

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 in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You run the kubect1 command, and then you create an SSH connection.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

NEW QUESTION 13

You need to build a sentiment analysis solution that will use input data from JSON documents and PDF documents. The JSON documents must be processed in batches and aggregated.
Which storage type should you use for each file type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/batch-processing

NEW QUESTION 14

You plan to use the Microsoft 8ot Framework to develop bots that will be deployed by using the Azure Bot Service.
You need to configure the Azure Bot Service to support the following types of bots:
•Bots that use Azure Functions
•Bots that set a timer
Which template should you use for each bot type? To answer, drag the appropriate templates to the correct bot types. Each template 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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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-concept-templates?view=azure-bot-service-3.0

NEW QUESTION 15

You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements:
• Securely query an on-premises database once a week to update product lists.
• Access the data without using a gateway.
• Orchestrate the separate phases.
What should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Box 1: Azure App Service Hybrid Connections
With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios.
Incorrect Option: The VPN connection solution both use gateways. Box 2: Machine Learning pipelines
Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with
cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning.
Box 3: Azure Databricks References:
https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/ https://databricks.com/glossary/what-are-ml-pipelines

NEW QUESTION 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 are deploying an Azure Machine Learning model to an Azure Kubernetes Service (AKS) container. You need to monitor the accuracy of each run of the model.
Solution: You configure Azure Application Insights.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: A

NEW QUESTION 17

You are developing an application that will perform optical character recognition of photos of medical logbooks. You need to recommend a solution to validate the data against a validated set of records. Which service should you include in the recommendation?

  • A. Azure Data Catalog
  • B. Text Analytics
  • C. Bing Autosuggest
  • D. Master Data Services (MDS) in Microsoft SQL Server

Answer: D

Explanation:
References:
https://docs.microsoft.com/en-us/sql/master-data-services/validation-master-data-services?view=sql-server-2017

NEW QUESTION 18

You have Azure IoT Edge devices that generate measurement data from temperature sensors. The data changes very slowly.
You need to analyze the data in a temporal two-minute window. If the temperature rises five degrees above a limit, an alert must be raised. The solution must minimize the development of custom code.
What should you use?

  • A. A Machine Learning model as a web service
  • B. an Azure Machine Learning model as an IoT Edge module
  • C. Azure Stream Analytics as an IoT Edge module
  • D. Azure Functions as an IoT Edge module

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics

NEW QUESTION 19

You need to deploy cognitive search. You provision an Azure Search service. What should you do next?

  • A. Search by using the .NET SDK.
  • B. Load data.
  • C. Search by using the REST API.
  • D. Create an index.

Answer: D

Explanation:
You create a data source, a skillset, and an index. These three components become part of an indexer that pulls each piece together into a single multi-phased operation.
Note: At the start of the pipeline, you have unstructured text or non-text content (such as image and scanned document JPEG files). Data must exist in an Azure data storage service that can be accessed by an indexer.
Indexers can "crack" source documents to extract text from source data. References:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-tutorial-blob

NEW QUESTION 20

You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
•Email a user the picture and location of an anomaly when an anomaly is detected.
•Use a video stream to detect anomalies at the location.
•Send the pictures and location information to Azure.
•Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for 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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  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
Box 1: Azure IOT Edge Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions Box 3: Azure Logic Apps References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge

NEW QUESTION 21

You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com.
You need to recommend a solution to ensure that access to the web service is encrypted. Which three actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. Generate a shared access signature (SAS)
  • B. Obtain an SSL certificate
  • C. Add a deployment slot
  • D. Update the web service
  • E. Update DNS
  • F. Create an Azure Key Vault

Answer: BDE

Explanation:
The process of securing a new web service or an existing one is as follows:
1. Get a domain name.
2. Get a digital certificate.
3. Deploy or update the web service with the SSL setting enabled.
4. Update your DNS to point to the web service.
Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of
the key file. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service

NEW QUESTION 22

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?

  • A. Yes
  • B. No

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

NEW QUESTION 23

You need to integrate the new Bookings app and the Butler chatbot.
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.
AI-100 dumps exhibit

  • A. Mastered
  • B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-channel-connect-webchat?view=azure-bot-servic

NEW QUESTION 24

You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub. The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.

  • A. Azure Event Hubs
  • B. Azure SQL Database
  • C. Azure Blob storage
  • D. Azure Cosmos DB

Answer: D

Explanation:
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output

NEW QUESTION 25

You create an Azure Machine Learning Studio experiment.
You plan to publish the experiment as a Machine Learning Web service.
You need to ensure that you can consume the web service from Microsoft Excel spreadsheets. What should you use?

  • A. a Batch Execution Service (BES) and an Azure managed identity
  • B. a Request-Response Service (RRS) and an Azure managed identity
  • C. a Request-Response Service (RRS) and an API key
  • D. a Batch Execution Service (BES) and an API key

Answer: C

Explanation:
Steps to Add a New web service
1. Deploy a web service or use an existing Web service.
2. Click Consume.
3. Look for the Basic consumption info section. Copy and save the Primary Key and the Request-Response URL.
4. In Excel, go to the Web Services section (if you are in the Predict section, click the back arrow to go to the list of web services).
5. Click Add Web Service.
6. Paste the URL into the Excel add-in text box labeled URL.
7. Paste the API/Primary key into the text box labeled API key.
8. Click Add.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/excel-add-in-for-web-services

NEW QUESTION 26
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