New Microsoft Azure AI Engineer AI-100 Dumps

Try to achieve Micosoft Azure AI Engineer certification to become an Azure AI Enginner. After complete this certification, you can use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots, and agents. Then, you can boost your career. Azure AI Engineer Certified requires you answer AI-100 exam. But how? Here we strongly recommend you New Microsoft Azure AI Engineer AI-100 Dumps, which can ensure your success in AI-100 exam.

Why Choose New AI-100 Dumps? Just read AI-100 free questions for answer.

1. Topic 1, Contoso Case Study: 1

Overview

Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers.

Existing Environment

Contoso. Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers.

Infrastructure

Each office has a small data center that hosts Active Directory services and a few off-the-shelf software solutions used by internal users.

The network contains a single Active Directory forest that contains a single domain named contoso.com. Azure Active Directory (Azure AD) Connect is used to extend identity management to Azure.

The company has an Azure subscription. Each office has an Azure ExpressRoute connection to the subscription. The New York office connects to a virtual network hosted in the US East 2 Azure region. The Paris office connects to a virtual network hosted in the West Europe Azure region.

The New York office has an Azure Stack Development Kit (ASDK) deployment that is used for development and testing.

Current Business Model

Contoso has a web app named Bookings hosted in an App Service Environment (ASE). The ASE is in the virtual network in the East US 2 region. Contoso employees and customers use Bookings to reserve hotel rooms.

Data Environment

Bookings connects to a Microsoft SQL Server database named hotelDB in the New York office.

The database has a view named vwAvailability that consolidates columns from three tables named Hotels, Rooms, and RoomAvailability. The database contains data that was collected during the last 20 years.

Problem Statements

Contoso identifies the following issues with its current business model:

- European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms.

- Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours.

Requirements

Contoso identifies the following issues with its current business model:

• European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms.

Business Goals

• Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours.

Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler.

Contoso plans to move all production workloads to the cloud.

Technical Requirements

Contoso identifies the following technical requirements:

- Data scientists must test Butler by using ASDK.

- Whenever possible, solutions must minimize costs.

- Butler must greet users by name when they first connect.

- Butler must be able to handle up to 10.000 messages a day.

- Butler must recognize the users' intent based on basic utterances.

- All configurations to the Azure Bot Service must be logged centrally.

- Whenever possible, solutions must use the principle of least privilege.

- Internal users must be able to access Butler by using Microsoft Skype for Business.

- The new Bookings app must provide a user interface where users can interact with Butler.

- Users in an Azure AD group named KeyManagers must be able to manage keys for all Azure Cognitive Services.

- Butler must provide users with the ability to reserve a room, cancel a reservation, and view existing reservations.

- The new Bookings app must be available to users in North America and Europe if a single data center or Azure region fails.

- For continuous improvement, you must be able to test Butler by sending sample utterances and comparing the chatbot's responses to the actua intent.

Which two services should be implemented so that Butler can find available rooms based on the technical requirements? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

2. Which RBAC role should you assign to the KeyManagers group?

3. You need to recommend a data storage solution that meets the technical requirements.

What is the best data storage solution to recommend? More than one answer choice may achieve the goal. Select the BEST answer.

4. DRAG DROP

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.

5. 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.

6. 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 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 modify the scoring file. Does this meet the goal?

7. 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 deploying an Azure Machine Learning model to an Azure Kuberneles Service (AKS) container. You need to monitor the accuracy of each run of the model.

Solution: You configure Azure Monitor for containers.

Does this meet the goal?

8. 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 deploying an Azure Machine Learning model to an Azure Kuberneles 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?

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 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 create a managed identity for AKS, and then you create an SSH connection. Does this meet the goal?

10. 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 change the permissions of the AKS resource group, and then you create an SSH connection.

Does this meet the goal?

11. 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 kubectl command, and then you create an SSH connection. Does this meet the goal?

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 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?

13. 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?

14. 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 create environment files. Does this meet the goal?

15. HOTSPOT

You plan to deploy an application that will perform image recognition. The application will store image data in two Azure Blob storage stores named Blob! and Blob2. You need to recommend a security solution that meets the following requirements:

Access to Blobl must be controlled by a using a role.

Access to Blob2 must be time-limited and constrained to specific operations.

What should you recommend using to control access to each blob store? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

16. You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB.

Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso. Ltd.

You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.

You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.

What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.

17. You have an Al application that uses keys in Azure Key Vault.

Recently, a key used by the application was deleted accidentally and was unrecoverable. You need to ensure that if a key is deleted, it is retained in the key vault for 90 days.

Which two features should you configure? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point

18. DRAG DROP

You are designing an Al 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.

19. You deploy an Azure bot. You need to collect Key Performance Indicator (KPI) data from the bot.

The type of data includes:

- The number of users interacting with the bot

- The number of messages interacting with the bot

- The number of messages on different channels received by the bot

-The number of users and messages continuously interacting with the bot

What should you configure?

20. You need to configure versioning and logging for Azure Machine Learning models.

Which Machine Learning service application should you use?

21. 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.

22. DRAG DROP

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.

23. 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?

24. You plan to implement a new data warehouse for a planned AI solution.

You have the following information regarding the data warehouse:

- The data files will be available in one week.

- Most queries that will be executed against the data warehouse will be ad-hoc queries.

- The schemas of data files that will be loaded to the data warehouse will change often.

- One month after the planned implementation, the data warehouse will contain 15 TB of data.

You need to recommend a database solution to support the planned implementation.

What two solutions should you include in the recommendation? Each correct answer is a complete solution. NOTE: Each correct selection is worth one point.

25. DRAG DROP

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.

26. Your company has a data team of Scala and R experts. You plan to ingest data from multiple Apache Kafka streams. You need to recommend a processing technology to broker messages at scale from the Kafka streams to Azure Storage.

What should you recommend?

27. You need to build a solution to monitor Twitter.

The solution must meet the following requirements:

- Send an email message to the marketing department when negative Twitter messages are detected.

- Run sentiment analysis on Twitter messages that mention specific tags.

- Use the least amount of custom code possible.

Which two services should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

28. 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?

29. You are designing an Al application that will use an Azure Machine Learning Studio experiment. The source data contains more than 200 TB of relational tables. The experiment will run once a month. You need to identify a data storage solution for the application. The solution must minimize compute costs.

Which data storage solution should you identify?

30. HOTSPOT

You need to configure security for an Azure Machine Learning service used by groups of data scientists. The groups must have access to only their own experiments and must be able to grant permissions to the members of their team.

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

NOTE: Each correct selection is worth one point.

31. You plan to build an application that will perform predictive analytics. Users will be able to consume the application data by using Microsoft Power Bl or a custom website. You need to ensure that you can audit application usage.

Which auditing solution should you use?

32. You have an Azure Machine Learning experiment that must comply with GDPR regulations. You need to track compliance of the experiment and store documentation about the experiment.

What should you use?

33. HOTSPOT

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.

34. 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?

35. HOTSPOT

You are designing an Al solution that must meet the following processing requirements:

Use a parallel processing framework that supports the in-memory processing of high volumes of data.

Use in-memory caching and a columnar storage engine for Apache Hive queries.

What should you use to meet each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

36. 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.

37. HOTSPOT

You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.

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

NOTE: Each correct selection is worth one point.

38. DRAG DROP

You need to build a pipeline for an Azure Machine Learning experiment.

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

39. DRAG DROP

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.

40. DRAG DROP

You have an intelligent edge solution that processes data and outputs the data to an Azure Cosmos DB account that uses the SQL API.

You need to ensure that you can perform full text searches of the data.

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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