certlibrary Flashcards
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You build a bot by using the Microsoft Bot Framework SDK.
You start the bot on a local computer.
You need to validate the functionality of the bot.
What should you do before you connect to the bot?
A. Run the Bot Framework Emulator.
B. Run the Bot Framework Composer.
C. Register the bot with Azure Bot Service.
D. Run Windows Terminal.
A. Run the Bot Framework Emulator.
You have an Azure OpenAI model named AI1.
You are building a web app named App1 by using the Azure OpenAI SDK.
You need to configure App1 to connect to AI1.
What information must you provide?
A. the endpoint, key, and model name
B. the deployment name, key, and model name
C. the deployment name, endpoint, and key
D. the endpoint, key, and model type
C. the deployment name, endpoint, and key
You are building a solution in Azure that will use Azure Cognitive Service for Language to process sensitive customer data.
You need to ensure that only specific Azure processes can access the Language service. The solution must minimize administrative effort.
What should you include in the solution?
A. IPsec rules
B. Azure Application Gateway
C. a virtual network gateway
D. virtual network rules
D. virtual network rules
You plan to perform predictive maintenance.
You collect IoT sensor data from 100 industrial machines for a year. Each machine has 50 different sensors that generate data at one-minute intervals. In total, you have 5,000 time series datasets.
You need to identify unusual values in each time series to help predict machinery failures.
Which Azure service should you use?
A. Azure AI Computer Vision
B. Cognitive Search
C. Azure AI Document Intelligence
D. Azure AI Anomaly Detector
D. Azure AI Anomaly Detector
You are developing a system that will monitor temperature data from a data stream. The system must generate an alert in response to atypical values. The solution must minimize development effort.
What should you include in the solution?
A. Multivariate Anomaly Detection
B. Azure Stream Analytics
C. metric alerts in Azure Monitor
D. Univariate Anomaly Detection
D. Univariate Anomaly Detection
You have a Microsoft OneDrive folder that contains a 20-GB video file named File1.avi.
You need to index File1.avi by using the Azure Video Indexer website.
What should you do?
A. Upload File1.avi to the www.youtube.com webpage, and then copy the URL of the video to the Azure AI Video Indexer website.
B. Download File1.avi to a local computer, and then upload the file to the Azure AI Video Indexer website.
C. From OneDrive, create a download link, and then copy the link to the Azure AI Video Indexer website.
D. From OneDrive, create a sharing link for File1.avi, and then copy the link to the Azure AI Video Indexer website.
C. From OneDrive, create a download link, and then copy the link to the Azure AI Video Indexer website.
You have an Azure subscription that contains an Azure AI Service resource named CSAccount1 and a virtual network named VNet1. CSAaccount1 is connected to VNet1.
You need to ensure that only specific resources can access CSAccount1. The solution must meet the following requirements:
- Prevent external access to CSAccount1.
- Minimize administrative effort.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.
A. In VNet1, enable a service endpoint for CSAccount1.
B. In CSAccount1, configure the Access control (IAM) settings.
C. In VNet1, modify the virtual network settings.
D. In VNet1, create a virtual subnet.
E. In CSAccount1, modify the virtual network settings.
A. In VNet1, enable a service endpoint for CSAccount1.
D. In VNet1, create a virtual subnet.
You are building an internet-based training solution. The solution requires that a user’s camera and microphone remain enabled.
You need to monitor a video stream of the user and detect when the user asks an instructor a question. The solution must minimize development effort.
What should you include in the solution?
A. speech-to-text in the Azure AI Speech service
B. language detection in Azure AI Language Service
C. the Face service in Azure AI Vision
D. object detection in Azure AI Custom Vision
A. speech-to-text in the Azure AI Speech service
SIMULATION -
You need to create a search service named search12345678 that will index a sample Azure Cosmos DB database named hotels-sample. The solution must ensure that only English language fields are retrievable.
To complete this task, sign in to the Azure portal.
Part 1: Create a search service search12345678
Step 1: Sign in to the QnA portal.
Step 2: Create an Azure Cognitive multi-service resource:
Step 3: On the Create page, provide the following information.
Name: search12345678 -
Step 4: Click Review + create -
Part 2: Start the Import data wizard and create a data source
Step 5: Click Import data on the command bar to create and populate a search index.
Step 6: In the wizard, click Connect to your data > Samples > hotels-sample. This data source is built-in. If you were creating your own data source, you would need to specify a name, type, and connection information. Once created, it becomes an “existing data source” that can be reused in other import operations.
Step 7: Continue to the next page.
Step 8: Skip the “Enrich content” page
Step 9: Configure index.
Make sure English is selected for the fields.
Step 10: Continue and finish the wizard.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account https://docs.microsoft.com/en-us/azure/search/search-get-started-portal
SIMULATION -
You plan to create a solution to generate captions for images that will be read from Azure Blob Storage.
You need to create a service in Azure Cognitive Services for the solution. The service must be named captions12345678 and must use the Free pricing tier.
To complete this task, sign in to the Azure portal.
Part 1: Create a search service captions12345678
Step 1: Sign in to the QnA portal.
Step 2: Create an Azure Cognitive multi-service resource:
Step 3: On the Create page, provide the following information.
Name: captions12345678ֲ¨
Pricing tier: Free -
Step 4: Click Review + create -
(Step 5: Create a data source
In Connect to your data, choose Azure Blob Storage. Choose an existing connection to the storage account and container you created. Give the data source a name, and use default values for the rest.)
Reference:
https://docs.microsoft.com/en-us/azure/search/search-create-service-portal https://docs.microsoft.com/en-us/azure/search/cognitive-search-quickstart-ocr
SIMULATION -
You need to create a Form Recognizer resource named fr12345678.
Use the Form Recognizer sample labeling tool at https://fott-2-1.azurewebsites.net/ to analyze the invoice located in the C:\Resources\Invoices folder.
Save the results as C:\Resources\Invoices\Results.json.
To complete this task, sign in to the Azure portal and open the Form Recognizer sample labeling tool.
Step 1: Sign in to the Azure Portal.
Step 2: Navigate to the Form Recognizer Sample Tool (at https://fott-2-1.azurewebsites.net)
Step 3: On the sample tool home page select Use prebuilt model to get data.
Step 4: Select the Form Type you would like to analyze from the dropdown window.
Step 5: In the Source: URL field, paste the selected URL and select the Fetch button.
Step 6: In the Choose file for analysis use the file in the C:\Resources\Invoices folder and select the Fetch button.
Step 7: Select Run analysis. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
Step 8: View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
Step 9: Save the results as C:\Resources\Invoices\Results.json.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/quickstarts/try-sample-label-tool
SIMULATION -
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com -
Azure Password: XXXXXXXXXXXX -
The following information is for technical support purposes only:
Lab Instance: 12345678 -
Task -
You plan to build an application that will use caption12345678. The application will be deployed to a virtual network named VNet1.
You need to ensure that only virtual machines on VNet1 can access caption12345678.
To complete this task, sign in to the Azure portal.
Step 1: Create private endpoint for your web app
1. In the left-hand menu, select All Resources > caption12345678 - the name of your web app.
2. In the web app overview, select Settings > Networking.
3. In Networking, select Private endpoints.
4. Select + Add in the Private Endpoint connections page.
5. Enter or select the following information in the Add Private Endpoint page:
Name: Enter caption12345678.
Subscription Select your Azure subscription.
Virtual network Select VNet1.
Subnet: -
Integrate with private DNS zone: Select Yes.
6. Select OK.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/tutorial-private-endpoint-webapp-portal
SIMULATION -
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com -
Azure Password: XXXXXXXXXXXX -
The following information is for technical support purposes only:
Lab Instance: 12345678 -
Task -
You need to build an API that uses the service in Azure Cognitive Services named AAA12345678 to identify whether an image includes a Microsoft Surface Pro or
Surface Studio.
To achieve this goal, you must use the sample images in the C:\Resources\Images folder.
To complete this task, sign in to the Azure portal.
Step 1: In the Azure dashboard, click Create a resource.
Step 2: In the search bar, type “Cognitive Services.”
You’ll get information about the cognitive services resource and a legal notice. Click Create.
Step 3: You’ll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):
Subscription: choose your paid or trial subscription, depending on how you created your Azure account.
Resource group: click create new to create a new resource group or choose an existing one.
Region: choose the Azure region for your cognitive service. Choose: East US Azure region.
Name: choose a name for your cognitive service. Enter: AAA12345678
Pricing Tier: Select: Free pricing tier
Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource.
Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Tag visual features -
Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn’t limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on.
Try out the image tagging features quickly and easily in your browser using Vision Studio.
Reference:
https://docs.microsoft.com/en-us/learn/modules/analyze-images-computer-vision/3-analyze-images https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis
SIMULATION -
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com -
Azure Password: XXXXXXXXXXXX -
The following information is for technical support purposes only:
Lab Instance: 12345678 -
Task -
You plan to build an API that will identify whether an image includes a Microsoft Surface Pro or Surface Studio.
You need to deploy a service in Azure Cognitive Services for the API. The service must be named AAA12345678 and must be in the East US Azure region. The solution must use the Free pricing tier.
To complete this task, sign in to the Azure portal.
Step 1: In the Azure dashboard, click Create a resource.
Step 2: In the search bar, type “Cognitive Services.”
You’ll get information about the cognitive services resource and a legal notice. Click Create.
Step 3: You’ll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):
Subscription: choose your paid or trial subscription, depending on how you created your Azure account.
Resource group: click create new to create a new resource group or choose an existing one.
Region: choose the Azure region for your cognitive service. Choose: East US Azure region.
Name: choose a name for your cognitive service. Enter: AAA12345678
Pricing Tier: Select: Free pricing tier
Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource.
Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Tag visual features -
Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn’t limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on.
Try out the image tagging features quickly and easily in your browser using Vision Studio.
Reference:
https://docs.microsoft.com/en-us/learn/modules/analyze-images-computer-vision/3-analyze-images https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis
You have an Azure Video Analyzer for Media (previously Video Indexer) service that is used to provide a search interface over company videos on your company’s website.
You need to be able to search for videos based on who is present in the video.
What should you do?
A. Create a person model and associate the model to the videos.
B. Create person objects and provide face images for each object.
C. Invite the entire staff of the company to Video Indexer.
D. Edit the faces in the videos.
E. Upload names to a language model.
A. Create a person model and associate the model to the videos.
You have the following Python function for creating Azure Cognitive Services resources programmatically. def create_resource (resource_name, kind, account_tier, location) : parameters = CognitiveServicesAccount(sku=Sku(name=account_tier), kind=kind, location=location, properties={}) result = client.accounts.create(resource_group_name, resource_name, parameters)
You need to call the function to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?
A. create_resource(“res1”, “ComputerVision”, “F0”, “westus”)
B. create_resource(“res1”, “CustomVision.Prediction”, “F0”, “westus”)
C. create_resource(“res1”, “ComputerVision”, “S0”, “westus”)
D. create_resource(“res1”, “CustomVision.Prediction”, “S0”, “westus”)
B. create_resource(“res1”, “CustomVision.Prediction”, “F0”, “westus”)
You use the Custom Vision service to build a classifier.
After training is complete, you need to evaluate the classifier.
Which two metrics are available for review? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. recall
B. F-score
C. weighted accuracy
D. precision
E. area under the curve (AUC)
A. recall
D. precision
You have an Azure Cognitive Search solution and a collection of handwritten letters stored as JPEG files.
You plan to index the collection. The solution must ensure that queries can be performed on the contents of the letters.
You need to create an indexer that has a skillset.
Which skill should you include?
A. image analysis
B. optical character recognition (OCR)
C. key phrase extraction
D. document extraction
B. optical character recognition (OCR)
You need to build a solution that will use optical character recognition (OCR) to scan sensitive documents by using the Computer Vision API. The solution must
NOT be deployed to the public cloud.
What should you do?
A. Build an on-premises web app to query the Computer Vision endpoint.
B. Host the Computer Vision endpoint in a container on an on-premises server.
C. Host an exported Open Neural Network Exchange (ONNX) model on an on-premises server.
D. Build an Azure web app to query the Computer Vision endpoint.
B. Host the Computer Vision endpoint in a container on an on-premises server.
You have an app that captures live video of exam candidates.
You need to use the Face service to validate that the subjects of the videos are real people.
What should you do?
A. Call the face detection API and retrieve the face rectangle by using the FaceRectangle attribute.
B. Call the face detection API repeatedly and check for changes to the FaceAttributes.HeadPose attribute.
C. Call the face detection API and use the FaceLandmarks attribute to calculate the distance between pupils.
D. Call the face detection API repeatedly and check for changes to the FaceAttributes.Accessories attribute.
A. Call the face detection API and retrieve the face rectangle by using the FaceRectangle attribute.
You have an Azure subscription that contains an AI enrichment pipeline in Azure Cognitive Search and an Azure Storage account that has 10 GB of scanned documents and images.
You need to index the documents and images in the storage account. The solution must minimize how long it takes to build the index.
What should you do?
A. From the Azure portal, configure parallel indexing.
B. From the Azure portal, configure scheduled indexing.
C. Configure field mappings by using the REST API.
D. Create a text-based indexer by using the REST API.
A. From the Azure portal, configure parallel indexing.
You have a mobile app that manages printed forms.
You need the app to send images of the forms directly to Forms Recognizer to extract relevant information. For compliance reasons, the image files must not be stored in the cloud.
In which format should you send the images to the Form Recognizer API endpoint?
A. raw image binary
B. form URL encoded
C. JSON
A. raw image binary
