Ai-102 3
Ai-102 3
Microsoft
Exam Questions AI-102
Designing and Implementing an Azure AI Solution
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NEW QUESTION 1
DRAG DROP - (Topic 3)
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 2
- (Topic 3)
You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-4 model named Modell and an app named Appl. App1
uses Model!
You need to ensure that App1 will NOT return answers that include hate speech. What should you configure for Model1?
Answer: B
NEW QUESTION 3
- (Topic 3)
You are building a chatbot.
You need to configure the bot to guide users through a product setup process. Which type of dialog should you use?
A. component
B. waterfall
C. adaptive
D. action
Answer: B
NEW QUESTION 4
- (Topic 3)
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 a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1.
You plan to create a new Azure Cognitive Search service named service1.
You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet.
Solution: You deploy service1 and a public endpoint, and you configure an IP firewall rule. Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-link-overview
NEW QUESTION 5
- (Topic 3)
You are building a retail kiosk system that will use a custom neural voice. You acquire audio samples and consent from the voice talent. You need to create a
voice talent profile.
What should you upload to the profile?
A. a five-minute wav or mp3 file of the voce talent describing the kiosk system
B. a five-minute .flac audio file and the associated transcript as a w file
C. a .wav or mp3 file of the voice talent consenting to the creation of a synthetic version of their voice
D. a .zip file that contains 10-second .wav files and the associated transcripts as .txt files
Answer: D
NEW QUESTION 6
- (Topic 3)
You use the Microsoft Bot Framework Composer to build a chatbot that enables users to purchase items.
You need to ensure that the users can cancel in-progress transactions. The solution must minimize development effort.
What should you add to the bot?
A. a language generator
B. a custom event
C. a dialog trigger
D. a conversation activity
Answer: D
NEW QUESTION 7
HOTSPOT - (Topic 3)
Select the answer that correctly completes the sentence.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 8
HOTSPOT - (Topic 3)
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following
requirements:
• Prevent access to Search1 from the internet.
• Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 9
- (Topic 3)
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 have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled. Solution: You enable customer-managed key (CMK) encryption.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Customer-managed key (CMK) encryption does not affect throttling.
Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-
based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis
NEW QUESTION 10
- (Topic 3)
You develop a custom question answering project in Azure Cognitive Service for Language. The project will be used by a chatbot. You need to configure the
project to engage in multi-turn conversations. What should you do?
Answer: A
NEW QUESTION 10
HOTSPOT - (Topic 3)
You are building a call handling system that will receive calls from French-speaking and German-speaking callers. The system must perform the following tasks;
• Capture inbound voice messages as text.
• Replay messages in English on demand.
Which Azure Cognitive Services should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 15
DRAG DROP - (Topic 3)
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
? Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
? Control access to the container images by using Azure role-based access control (Azure RBAC).
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. (Choose four.)
NOTE: More than one order of answer choices is correct. You will receive credit for any of
the correct orders you select.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Step 1: Pull the Anomaly Detector container image. Step 2: Create a custom Dockerfile
Step 3: Build the image
Step 4: Push the image to an Azure container registry.
https://docs.microsoft.com/en-us/azure/cognitive-services/containers/container-reuse- recipe
NEW QUESTION 19
- (Topic 3)
You are building a Language Understanding solution.
You discover that many intents have similar utterances containing airport names or airport codes.
You need to minimize the number of utterances used to fram the model. Which type of custom entity should you use?
A. Pattera.any
B. machine-learning
C. list
D. regular expression
Answer: C
NEW QUESTION 20
- (Topic 3)
Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance. Which Azure service should you use?
Answer: B
NEW QUESTION 24
- (Topic 3)
What should you use to automatically delete blobs from Azure Blob Storage?
Answer: D
NEW QUESTION 29
- (Topic 3)
You are examining the Language service output of an application.
The text analyzed is: Our tour guide took us up the Space Needle during our trip to Seattle last week.
The response contains the data shown in the following table.
A. Entity Linking
B. Named Entity Recognition
C. Key Phrase Extraction
D. Sentiment Analysis
Answer: B
NEW QUESTION 32
- (Topic 3)
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 build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent
named FindContact.
A conversational expert provides you with the following list of phrases to use for training.
Find contacts in London. Who do I know in Seattle? Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding. Solution: You create a new intent for location.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent
NEW QUESTION 33
- (Topic 3)
What ate two uses of data visualization? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Answer: AB
NEW QUESTION 37
HOTSPOT - (Topic 3)
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text
must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 41
- (Topic 3)
You have an Azure subscription that contains an Anomaly Detector resource. You deploy a Docker host server named Server 1 to the on-premises network. You
need to host an instance of the Anomaly Detector service on Server 1. Which parameter should you include in the docker run command?
A. Fluentd
B. Billing
C. Http Proxy
D. Mounts
Answer: B
NEW QUESTION 44
- (Topic 3)
Which database transaction property ensures that individual transactions are executed only once and either succeed in their entirety or roll back?
A. consistency
B. isolation
C. atomicity
D. durability
Answer: A
NEW QUESTION 47
HOTSPOT - (Topic 3)
You have a bot that was built by using the Microsoft Bot Framework composer as shown in the following exhibit.
Use the drop-down menus 10 select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 52
- (Topic 3)
You need to develop a solution to provide data to executives. The solution must provide an interactive graphical interface, depict various key performance
indicators, and support data exploration by using drill down. What should you use in Microsoft Power Bl?
A. a report
B. Microsoft Power Apps
C. a view
D. a dataflow
Answer: C
NEW QUESTION 56
HOTSPOT - (Topic 3)
You plan to provision Azure Cognitive Services resources by using the following method.
You need to create a Standard tier resource that will convert scanned receipts into text. How should you call the method? To answer, select the appropriate
options in the answer
area.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 57
- (Topic 3)
You plan to build an app that will generate a list of tags for uploaded images. The app must meet the following requirements:
• Generate tags in a user’s preferred language.
• Support English, French, and Spanish.
• Minimize development effort
You need to build a function that will generate the tags for the app. Which Azure service endpoint should you use?
Answer: A
NEW QUESTION 60
- (Topic 3)
You are building an Al solution that will use Sentiment Analysis results from surveys to calculate bonuses for customer service staff. You need to ensure that the
solution meets the Microsoft responsible Al principles. What should you do?
A. Add a human review and approval step before making decisions that affect the staffs financial situation
B. Include the Sentiment Analysis results when surveys return a low confidence score.
C. Use all the surveys, including surveys by customers who requested that their account be deleted and their data be removed.
D. Publish the raw survey data to a central location and provide the staff with access to the location.
Answer: A
NEW QUESTION 61
- (Topic 3)
You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1. You need to ensure that only resources
in vnet1 can access ta1. What should you configure?
Answer: C
NEW QUESTION 63
DRAG DROP - (Topic 3)
You are developing an application that will recognize faults in components produced on a factory production line. The components are specific to your business.
You need to use the Custom Vision API to help detect common faults.
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.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Step 1: Create a project Create a new project.
Step 2: Upload and tag the images
Choose training images. Then upload and tag the images.
Step 3: Train the classifier model. Train the classifier
NEW QUESTION 66
- (Topic 3)
You are developing a monitoring system that will analyze engine sensor data, such as rotation speed, angle, temperature, and pressure. The system must
generate an alert in response to atypical values.
What should you include in the solution?
Answer: C
NEW QUESTION 67
- (Topic 3)
You deploy a web app that is used as a management portal for indexing in Azure Cognitive Search. The app is configured to use the primary admin key.
During a security review, you discover unauthorized changes to the search index. You suspect that the primary access key is compromised.
You need to prevent unauthorized access to the index management endpoint. The solution must minimize downtime.
What should you do next?
A. Regenerate the primary admin key, change the app to use the secondary admin key, and then regenerate the secondary admin key.
B. Change the app to use a query key, and then regenerate the primary admin key and the secondary admin key.
C. Regenerate the secondary admin key, change the app to use the secondary admin key, and then regenerate the primary key.
D. Add a new query key, change the app to use the new query key, and then delete all the unused query keys.
Answer: C
NEW QUESTION 69
- (Topic 3)
You are building an app that will include one million scanned magazine articles. Each article will be stored as an image file. You need to configure the app to
extract text from the images. The solution must minimize development effort. What should you include in the solution?
Answer: B
NEW QUESTION 70
- (Topic 3)
You train a Conversational Language Understanding model to understand the natural language input of users.
You need to evaluate the accuracy of the model before deploying it.
What are two methods you can use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. From the language authoring REST endpoint, retrieve the model evaluation summary.
B. From Language Studio, enable Active Learning, and then validate the utterances logged for review.
C. From Language Studio, select Model performance.
D. From the Azure portal, enable log collection in Log Analytics, and then analyze the logs.
Answer: AC
NEW QUESTION 71
DRAG DROP - (Topic 3)
You have a Docker host named Host1 that contains a container base image.
You have an Azure subscription that contains a custom speech-to-text model named model1.
You need to run model1 on Host1.
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.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
According to the course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution1, the correct sequence of actions to run model1 on Host1 is:
? Export model1 to Host1
? Run the container
? Configure disk logging
The explanation and references are as follows:
? Export model1 to Host1: This step is required to deploy the custom speech-to-text model to the Docker host. You can use the Azure portal or the Azure CLI to
export the model as a container image2.
? Run the container: This step is required to start the container and run the model on the Docker host. You can use the Docker CLI to run the container image3.
? Configure disk logging: This step is optional but recommended to monitor the performance and health of the container. You can use the Docker CLI to configure
disk logging for the container4.
NEW QUESTION 76
HOTSPOT - (Topic 3)
You are developing a text processing solution. You have the function shown below.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 81
HOTSPOT - (Topic 3)
You have an Azure subscription that has the following configurations:
• Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
• Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 84
- (Topic 3)
You plan to provision a QnA Maker service in a new resource group named RG1. In RG1, you create an App Service plan named AP1.
Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Language Understanding
B. Azure SQL Database
C. Azure Storage
D. Azure Cognitive Search
E. Azure App Service
Answer: DE
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/set-up-qnamaker-service-azure?tabs=v1#delete-azure-resources
"When you create a QnAMaker resource, you host the data in your own Azure subscription. Azure Search is used to index your data." & "When you create a
QnAMaker resource, you host the runtime in your own Azure subscription. App Service is the compute engine that runs the QnA Maker queries for you."
NEW QUESTION 89
- (Topic 3)
You are building a Chatbot by using the Microsoft Bot Framework SDK. The bot will be used to accept food orders from customers and allow the customers to
customize each food item. You need to configure the bot to ask the user for additional input based on the type of item ordered. The solution must minimize
development effort. Which two types of dialogs should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one
point.
A. adaptive
B. action
C. waterfall
D. prompt
E. input
Answer: BC
NEW QUESTION 90
- (Topic 3)
You need to build a chatbot that meets the following requirements:
? Supports chit-chat, knowledge base, and multilingual models
? Performs sentiment analysis on user messages
? Selects the best language model automatically
What should you integrate into the chatbot?
Answer: C
Explanation:
Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find
the most appropriate answer for any input from your custom knowledge base (KB) of information.
Text Analytics: Mine insights in unstructured text using natural language processing (NLP)—no machine learning expertise required. Gain a deeper understanding
of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://docs.microsoft.com/en-us/azure/cognitive-
services/qnamaker/overview/overview
NEW QUESTION 95
- (Topic 3)
You have an Azure subscription that contains an Al enrichment pipeline in Azure Cognitive Search and an Azure Storage account that has 10 G8 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?
Answer: A
NEW QUESTION 99
HOTSPOT - (Topic 3)
Select the answer that correctly completes the sentence.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. machine learned
B. Regex
C. geographyV2
D. Pattern.any
E. list
Answer: A
Explanation:
An ML entity can be composed of smaller sub-entities, each of which can have its own properties. For example, Address could have the following structure:
Address: 4567 Main Street, NY, 98052, USA Building Number: 4567
Street Name: Main Street State: NY
Zip Code: 98052 Country: USA
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
A. table
B. queue
C. file
D. blob
Answer: C
Answer: B
Explanation:
On-premises Microsoft SQL Server database cannot be used as an index data source. Note: Indexer in Azure Cognitive Search: : Automate aspects of an indexing
operation by
configuring a data source and an indexer that you can schedule or run on demand. This feature is supported for a limited number of data source types on Azure.
Indexers crawl data stores on Azure.
? Azure Blob Storage
? Azure Data Lake Storage Gen2 (in preview)
? Azure Table Storage
? Azure Cosmos DB
? Azure SQL Database
? SQL Managed Instance
? SQL Server on Azure Virtual Machines
Reference:
https://docs.microsoft.com/en-us/azure/search/search-indexer-overview#supported-data- sources
Answer: A
A. Yes
B. No
Answer: B
A. recall
B. F-score
C. weighted accuracy
D. precision
E. area under the curve (AUC)
Answer: AD
Explanation:
Custom Vision provides three metrics regarding the performance of your model: precision, recall, and AP.
Reference:
https://www.tallan.com/blog/2020/05/19/azure-custom-vision/
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. isolation
B. atomicity
C. consistency
D. durability
Answer: B
Answer: C
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
B: see this example code from documentation that uses PersonGroup of size 10,000 : https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-
to-topics/how- to-add-faces
the question wants to trick you into thinking you need to use a LargePersonGroup for a size of 10,000 - but the documentation for it doesn't include this limitation or
criteria: https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how- to-use-large-scale
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: D
Explanation:
To analyze receipts from a URL, use the StartRecognizeReceiptsFromUri method Example code:
private static async Task AnalyzeReceipt( FormRecognizerClient recognizerClient, string receiptUri)
{
RecognizedFormCollection receipts = await recognizerClient.StartRecognizeReceiptsFromUri(new Uri(receiptUrl)).WaitForCompletionAsync();
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form- recognizer/quickstarts/client-library
Answer: B
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: No
Example: Greet a user whose name is stored in `user.name`
- ${ welcomeUser(user.name) }
Example: Greet a user whose name you don't know:
- ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action. Box 3: Yes
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Yes
B. No
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-virtual-networks?tabs=portal#use-private-endpoints
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: B
Explanation:
You might want to manage the translation and localization for the language understanding content for your bot independently.
Translate command in the @microsoft/bf-lu library takes advantage of the Microsoft text translation API to automatically machine translate .lu files to one or more
than 60+ languages supported by the Microsoft text translation cognitive service.
What is translated?
An .lu file and optionally translate Comments in the lu file LU reference link texts
List of .lu files under a specific path.
Reference:
https://github.com/microsoft/botframework-cli/blob/main/packages/luis/docs/translate- command.md
Answer: A
Explanation:
Active learning is a technique of machine learning in which the machine learned model is used to identify informative new examples to label. In LUIS, active
learning refers to adding utterances from the endpoint traffic whose current predictions are unclear to improve your model.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-glossary
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Yes
Once you have defined a skillset, you must map the output fields of any skill that directly contributes values to a given field in your search index.
Box 2: Yes
The definition is a custom skill that calls a web API as part of the enrichment process.
Box 3: No
For each organization identified by entity recognition, this skill calls a web API to find the description of that organization.
A. Yes
B. No
Answer: A
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Adaptive card Box 2: an image
A. AdaptiveDialog
B. QnAMakerDialog
C. ComponentDialog
D. SkillDialog
Answer: B
A. Yes
B. No
Answer: B
Explanation:
Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-
based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Yes
B. No
Answer: B
Explanation:
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Azure Files
B. Azure Blob
C. Azure Table
D. Azure Queue
Answer: C
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment
To run the Sentiment Analysis v3 container, execute the following docker run command. docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \
mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment \ Eula=accept \
Billing={ENDPOINT_URI} \
ApiKey={API_KEY} is the endpoint for accessing the Text Analytics API. https://<your- custom-subdomain>.cognitiveservices.azure.com
Box 2: https://contoso.cognitiveservices.azure.com
{ENDPOINT_URI} is the endpoint for accessing the Text Analytics API: https://<your- custom-subdomain>.cognitiveservices.a The endpoint for accessing the Text
Analytics API. zure.com
You need to deploy an Azure resource to the East US Azure region. The resource will be used to perform sentiment analysis.
How should you call the method?
Answer: B
Explanation:
To perform sentiment analysis, we specify TextAnalytics, not ContentModerator. Possible SKU names include: 'F0','F1','S0','S1','S2','S3','S4','S5','S6','S7','S8'
Possible location names include: westus, eastus
Reference:
https://docs.microsoft.com/en-us/powershell/module/az.cognitiveservices/new- azcognitiveservicesaccount
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
In user want to change to deploy offline model
* 1. Change model domain to compact model
* 2. Retrain compact model
* 3. Export model
A. Yes
B. No
Answer: A
Explanation:
https://docs.microsoft.com/en-us/azure/virtual-network/network-security-groups-overview#network-security-groups
https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: B
HOTSPOT - (Topic 3)
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. A key for Azure Cognitive Services was generated in Azure Key Vault.
B. A new query key was generated.
C. The primary subscription key and the secondary subscription key were rotated.
D. The secondary subscription key was reset.
Answer: B
Explanation:
https://docs.microsoft.com/en-us/rest/api/searchmanagement/2021-04-01-preview/query- keys/create
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. CSV
B. JSON
C. HTML
D. YAML
Answer: A
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Yes
You create property accessors using the CreateProperty method that provides a handle to the BotState object. Each state property accessor allows you to get or
set the value of the associated state property.
Box 2: Yes
Box 3: No
Before you exit the turn handler, you use the state management objects' SaveChangesAsync() method to write all state changes back to storage.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/custom-speech- overview#how-does-it-work
With Custom Speech, you can upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom
endpoint.
- Create a project and choose a model. Use a Speech resource that you create in the Azure portal. If you will train a custom model with audio data, choose a
Speech resource region with dedicated hardware for training audio data.
- Upload test data. Upload test data to evaluate the speech to text offering for your applications, tools, and products.
- Train a model. Provide written transcripts and related text, along with the corresponding audio data. Testing a model before and after training is optional but
recommended.
- Deploy a model. Once you're satisfied with the test results, deploy the model to a custom endpoint. With the exception of batch transcription, you must deploy a
custom endpoint to use a Custom Speech model.
A. storageContainer
B. tables
C. storaeeConnectionString
D. files
E. objects
Answer: DE
A. https://uksouth.customvoice.apispeech.microsoft.eom/api/texttospeech/v3.0/longaudiosynt hesis/voices
B. https://uksouth.tts.speech.microsoft.conT/cognitiveservices/voices/list
C. https://uksouth.voice.speech.microsoft.com/cognitiveservices/v1?deploymentld = {deployment>
D. https://uksouth.api.cognitive.microsoft.eom/speechtotext/v3.0/models/base
Answer: B
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: D
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: BC
During testing, you discover that the call to the GetReadResultAsync method occurs before the read operation is complete.
You need to prevent the GetReadResultAsync method from proceeding until the read operation is complete.
Which two actions should you perform? Each correct answer presents part of the solution. (Choose two.)
NOTE: Each correct selection is worth one point.
Answer: BD
Explanation:
Example code : do
{
results = await client.GetReadResultAsync(Guid.Parse(operationId));
}
while ((results.Status == OperationStatusCodes.Running || results.Status == OperationStatusCodes.NotStarted));
Reference:
https://github.com/Azure-Samples/cognitive-services-quickstart- code/blob/master/dotnet/ComputerVision/ComputerVisionQuickstart.cs
Answer: CDF
Explanation:
Your documents must include a field specifying which groups have access. This information becomes the filter criteria against which documents are selected or
rejected from the result set returned to the issuer.
D: A query request targets the documents collection of a single index on a search service. CF: In order to trim documents based on group_ids access, you should
issue a search
query with a group_ids/any(g:search.in(g, 'group_id1, group_id2,...')) filter, where
'group_id1, group_id2,...' are the groups to which the search request issuer belongs.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: findsimilars
https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar
Box 2: matchPerson
Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the default mode that it tries to find faces of the same person as possible
by using internal same-person thresholds. It is useful to find a known person's other photos. Note that an empty list will be returned if no faces pass the internal
thresholds. "matchFace" mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like
searching celebrity-looking faces.
You need to send a different answer for positive and negative messages.
Which two Text Analytics APIs should you use? Each correct answer presents part of the solution. (Choose two.)
NOTE: Each correct selection is worth one point.
Answer: BD
Explanation:
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request,
the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level.
D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that
indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text- analytics-how-to- sentiment-analysis?tabs=version-3-1
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text- analytics-how-to- language-detection
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE Each correct
selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: AD
A. Content Moderator
B. Form Recognizer
C. Computer Vision
D. Language service
Answer: D
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Yes
B. No
Answer: B
Explanation:
Removing all the chit-chat question and answer pairs from the project will not ensure that the chatbot provides formal responses to spurious questions. It will only
make the chatbot unable to handle any chit-chat scenarios, which may result in a poor user experience and a loss of engagement. Instead, you should choose a
chit-chat personality that matches the tone and style of your chatbot, such as Professional or Caring. You can also edit the chit-chat questions and answers to suit
your specific needs, or add new ones that are not in the predefined data set12. This way, you can ensure that the chatbot responds appropriately to spurious
questions, while still maintaining a conversational and engaging interaction with the user.
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.
For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Identity
B. Keys and Endpoint
C. Properties
D. Networking
Answer: B
A. a waterfall chart
B. a ribbon chart
C. a bar chart
D. a decomposition tree
Answer: C
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Which three files can you use to train the model? Each correct answer presents a complete solution. (Choose three.)
NOTE: Each correct selection is worth one point.
A. File1
B. File2
C. File3
D. File4
E. File5
F. File6
Answer: ACF
Explanation:
Input requirements
Form Recognizer works on input documents that meet these requirements:
Format must be JPG, PNG, PDF (text or scanned), or TIFF. Text-embedded PDFs are best because there's no possibility of error in character extraction and
location.
File size must be less than 50 MB.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer/overview
A. Azure.AI.Language.Conversations
B. SpeechServicesToolkit
C. Universal.Microsoft.CognitiveServices.Speech
D. Xamarin.Cognitive.Speech
Answer: C
A. Custom Vision
B. Computer Vision
C. Immersive Reader
D. Form Recognizer
Answer: C
A. Revoke
B. UPDATE
C. DROP
D. CREATE
Answer: B
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. by month
B. chicago
C. rain
D. location
Answer: A
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Yes
B. No
Answer: B
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Step 1: For the knowledge base, select Show active learning suggestions.
In order to see the suggested questions, on the Edit knowledge base page, select View Options, then select Show active learning suggestions.
Step 2: Approve and reject suggestions.
Each QnA pair suggests the new question alternatives with a check mark, , to accept the question or an x to reject the suggestions. Select the check mark to add
the question.
Step 3: Save and train the knowledge base.
Select Save and Train to save the changes to the knowledge base. Step 4: Publish the knowledge base.
Select Publish to allow the changes to be available from the GenerateAnswer API.
When 5 or more similar queries are clustered, every 30 minutes, QnA Maker suggests the alternate questions for you to accept or reject.
A. botld
B. tenancld
C. appld
D. objeccld
E. appSecrec
Answer: CE
Explanation:
Reference:
https://github.com/MicrosoftDocs/bot-docs/blob/live/articles/bot-service-quickstart- registration.md
A. /vision/v3.2/read/analyzeResults
B. /formrecognizer/v2.0/prebuilt/receipt/analyze
C. /vision/v3.2/read/analyze
D. /vision/v3.2/describe
E. /formercognizer/v2.0/custom/models{modelId}/ analyze
Answer: BC
Explanation:
C: Analyze Receipt - Get Analyze Receipt Result.
Query the status and retrieve the result of an Analyze Receipt operation. Request URL: https://{endpoint}/formrecognizer/v2.0-
preview/prebuilt/receipt/analyzeResults/{resultId}
E: POST {Endpoint}/vision/v3.2/read/analyze
Use this interface to get the result of a Read operation, employing the state-of-the-art Optical Character Recognition (OCR) algorithms optimized for text-heavy
documents.
Scenario: Contoso plans to develop a document processing workflow to extract information automatically from PDFs and images of financial documents
? The document processing solution must be able to process standardized financial
documents that have the following characteristics:
- Contain fewer than 20 pages.
- Be formatted as PDF or JPEG files.
- Have a distinct standard for each office.
? *The document processing solution must be able to extract tables and text from the financial documents.
? The document processing solution must be able to extract information from receipt images.
Reference:
https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2- preview/operations/GetAnalyzeReceiptResult
https://docs.microsoft.com/en-us/rest/api/computervision/3.1/read/read
A. QnADialogResponseOptions.CardNoMatchText
B. Qna MakerOptions-ScoreThreshold
C. Qna Maker Op t ions StrickFilters
D. QnaMakerOptions.RankerType
Answer: D
Explanation:
Scenario: When the response confidence score is low, ensure that the chatbot can provide other response options to the customers.
When no good match is found by the ranker, the confidence score of 0.0 or "None" is returned and the default response is "No good match found in the KB". You
can override this default response in the bot or application code calling the endpoint. Alternately, you can also set the override response in Azure and this changes
the default for all knowledge bases deployed in a particular QnA Maker service.
Choosing Ranker type: By default, QnA Maker searches through questions and answers. If you want to search through questions only, to generate an answer, use
the RankerType=QuestionOnly in the POST body of the GenerateAnswer request.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/best- practices
Answer: B
Explanation:
Can search content in different formats, including video
Audio and video insights (multi-channels). When indexing by one channel, partial result for those models will be available.
Keywords extraction: Extracts keywords from speech and visual text.
Named entities extraction: Extracts brands, locations, and people from speech and visual text via natural language processing (NLP).
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
* 1. Add new members to roles.
* 2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
* 1. Create KB API
* 2. Update KB API
* 3. Replace KB API
* 4. Replace Alterations
* 5. "Train API" [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
* 1. Download KB API
* 2. List KBs for user API
* 3. Get Knowledge base details
* 4. Download Alterations Generate Answer
A. a synonym map
B. a suggester
C. a custom analyzer
D. a built-in key phrase extraction skill
Answer: A
Explanation:
Within a search service, synonym maps are a global resource that associate equivalent terms, expanding the scope of a query without the user having to actually
provide the term. For example, assuming "dog", "canine", and "puppy" are mapped synonyms, a query on "canine" will match on a document containing "dog".
Create synonyms: A synonym map is an asset that can be created once and used by many indexes.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-synonyms
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: api-nam.cognitive.microsofttranslator.com
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0- reference
Box 2: /translate
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Scenario: All videos must have transcripts that are associated to the video and included in product descriptions.
Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.
Step 1: Upload the video to blob storage
Given a video or audio file, the file is first dropped into a Blob Storage. T
Step 2: Index the video by using the Video Indexer API.
When a video is indexed, Video Indexer produces the JSON content that contains details of the specified video insights. The insights include: transcripts, OCRs,
faces, topics, blocks, etc.
Step 3: Extract the transcript from the Video Indexer API. Step 4: Translate the transcript by using the Translator API.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Description automatically generated Box 1: name.en
Box 2: "$when": "${stockLevel != 'OK'}"
Product displays must include images and warnings when stock levels are low or out of stock.
Box 3:image.altText.en
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: QnA Maker Editor
Scenario: Provide all employees with the ability to edit Q&As.
The QnA Maker Editor (read/write) has the following permissions: Create KB API
Update KB API Replace KB API Replace Alterations "Train API" [in
new service model v5]
Box 2: Contributor
Scenario: Only senior managers must be able to publish updates. Contributor permission: All except ability to add new members to roles
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