최신 AI-100 무료덤프 - Microsoft Designing and Implementing an Azure AI Solution
Your company manages a sports team.
The company sets up a video booth to record messages for the team.
Before replaying the messages on a video screen, you need to generate captions for the messages and check the emotions in the video to ensure that only positive messages are played.
Which Azure Cognitive Services service should you use?
The company sets up a video booth to record messages for the team.
Before replaying the messages on a video screen, you need to generate captions for the messages and check the emotions in the video to ensure that only positive messages are played.
Which Azure Cognitive Services service should you use?
정답: D
설명: (DumpTOP 회원만 볼 수 있음)
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.
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.
정답: D
설명: (DumpTOP 회원만 볼 수 있음)
You are designing an AI solution that will analyze millions of pictures.
You need to recommend a solution for storing the pictures. The solution must minimize costs.
Which storage solution should you recommend?
You need to recommend a solution for storing the pictures. The solution must minimize costs.
Which storage solution should you recommend?
정답: A
설명: (DumpTOP 회원만 볼 수 있음)
You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
* Visual text recognition
* Audio transcription
* Sentiment analysis
* Face detection
Which Azure Cognitive Services should you use in the pipeline?
* Visual text recognition
* Audio transcription
* Sentiment analysis
* Face detection
Which Azure Cognitive Services should you use in the pipeline?
정답: C
설명: (DumpTOP 회원만 볼 수 있음)
You are developing a mobile application that will perform optical character recognition (OCR) from photos.
The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.
What should you use to process the data?
The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.
What should you use to process the data?
정답: A
Your company is building a cinema chatbot by using the BOT Framework and Language Understanding (LUS).
You are designing the intents and the entities for LUIS.
The following are utterances that customers might provide:
* Which movies are playing on December 8?
* What time the performance of Movie1?
* I would like to purchase two adult tickets in the balcony section for Movie2.
You need to identify which entity types to use . The solution must minimize development effort.
Which entity type should you use for each entity? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You are designing the intents and the entities for LUIS.
The following are utterances that customers might provide:
* Which movies are playing on December 8?
* What time the performance of Movie1?
* I would like to purchase two adult tickets in the balcony section for Movie2.
You need to identify which entity types to use . The solution must minimize development effort.
Which entity type should you use for each entity? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답:
Explanation
Box 1: Prebuilt
Datetime is prebuilt.
Language Understanding (LUIS) provides prebuilt entities. When a prebuilt entity is included in your application, LUIS includes the corresponding entity prediction in the endpoint response.
Box 2: Simple
Box 3: Composite
A composite entity is made up of other entities, such as prebuilt entities, simple, regular expression, and list entities. The separate entities form a whole entity.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-entities
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-composite
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.
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.
정답:
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
* 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
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?
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?
정답: A
설명: (DumpTOP 회원만 볼 수 있음)
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?
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?
정답: D
You are designing a Custom Vision Service solution to identify fresh produce in grocery stores. The solution will be deployed as part of a mobile app.
You need to recommend the configurations for the Custom Vision API. The solution must minimize the size of the mobile app.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You need to recommend the configurations for the Custom Vision API. The solution must minimize the size of the mobile app.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답:
Explanation
Box 1:
Project type: Classification
Box 2:
Domain: Food (compact)
If you want to classify photographs of individual fruits or vegetables, use the Food domain. Compact domains are optimized for the constraints of real-time classification on mobile devices.
Box 3:
Export capability: Vision AI Dev Kit
Custom Vision Service supports the following exports:
* Tensorflow for Android.
* CoreML for iOS11.
* ONNX for Windows ML.
* Vision AI Developer Kit.
* A Docker container for Windows, Linux, or ARM architecture.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/select-domain
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model