Ai-102 6
Ai-102 6
Microsoft
Exam Questions AI-102
Designing and Implementing an Azure AI Solution
NEW QUESTION 1
DRAG DROP - (Topic 3)
You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that."
You need to improve the ability of the agent to respond to requests.
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.
(Choose three.)
A. Mastered
B. Not Mastered
Answer: A
Explanation:
- enable active learning
- validate the utterances
- train and republish
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint- utterances#log-user-queries-to-enable-active-learning
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-prebuilt-model
NEW QUESTION 2
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 3
- (Topic 3)
You have an Azure loT hub that receives series data from machinery. You need to build an app that will perform the following actions:
• Perform anomaly detection across multiple correlated sensors
• Identify the root cause of process stops.
• Send incident alerts
The solution must minimize development time. Which Azure service should you use?
Answer: D
NEW QUESTION 4
HOTSPOT - (Topic 3)
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? 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 5
- (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 6
- (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 7
HOTSPOT - (Topic 3)
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 8
- (Topic 3)
You have a 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?
Answer: A
Explanation:
Video Indexer supports multiple Person models per account. Once a model is created, you can use it by providing the model ID of a specific Person model when
uploading/indexing or reindexing a video. Training a new face for a video updates the specific custom model that the video was associated with.
Note: Video Indexer supports face detection and celebrity recognition for video content. The celebrity recognition feature covers about one million faces based on
commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that aren't recognized by the celebrity recognition feature are
detected but left unnamed. Once you label a face with a name, the face and name get added to your account's Person model. Video Indexer will then recognize
this face in your future videos and past videos.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-person- model-with-api
NEW QUESTION 9
- (Topic 3)
You are building a chatbot for a travel agent. The chatbot will use the Azure OpenAI GPT 3.5 model and will be used to make travel reservations.
You need to maximize the accuracy of the responses from the chatbot. What should you do?
A. Configure the model to include data from the travel agent's database.
B. Set the Top P parameter for the model to 0.
C. Set the Temperature parameter for the model to 0.
D. Modify the system message used by the model to specify that the answers must be accurate.
Answer: A
NEW QUESTION 10
- (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 10
- (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 pattern in the FindContact intent.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Instead use a new intent for location.
Note: An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user's utterance.
Define a set of intents that corresponds to actions users want to take in your application. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent
NEW QUESTION 13
- (Topic 3)
You build a conversational bot named bot1.
You need to configure the bot to use a QnA Maker application.
From the Azure Portal, where can you find the information required by bot1 to connect to the QnA Maker application?
Answer: C
Explanation:
Obtain values to connect your bot to the knowledge base 1.In the QnA Maker site, select your knowledge base. 2. With your knowledge base open, select the
SETTINGS tab. Record the value shown for service name. This value is useful for finding your knowledge base of interest when using the QnA Maker portal
interface. It's not used to connect your bot app to this knowledge base.3. Scroll down to find Deployment details and record the following values from the Postman
sample HTTP request:4. POST /knowledgebases/<knowledge-base-id>/generateAnswer 5.Host: <your-host-url>6.Authorization: EndpointKey <your-endpoint-
key>
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-qna
NEW QUESTION 18
HOTSPOT - (Topic 3)
You are building a bot and that will use Language Understanding. You have a LUDown file that contains the following content.
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:
NEW QUESTION 23
- (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 27
- (Topic 3)
You are building an app that will use the Azure Video Indexer service. You plan to train a language model to recognize industry-specific terms. You need to upload
a file that contains the industry-specific terms. Which file format should you use?
A. PDF
B. XML
C. TXT
D. XLS
Answer: C
NEW QUESTION 29
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 33
- (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 36
- (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 38
- (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 40
- (Topic 3)
You have a 20-GB file named file1, avi that is stored on a local drive. You need to index file1, avi by using the Azure Video indexer website. What should you do
first?
Answer: D
Explanation:
This is because the Azure Video Indexer website allows you to upload videos from a URL or from your file system, but there are some limitations and
considerations for each option1.
If you upload from your file system, the size of the file is limited to 2 GB, which is less than the size of file1.avi (20 GB). Therefore, this option is not feasible.
If you upload from a URL, the size of the file is limited to 30 GB, which is enough for file1.avi. However, the URL must be publicly accessible and valid, and the file
must be accessible. You cannot use URLs from streaming services such as YouTube1. Therefore, options A and B are not valid.
The best option is to upload file1.avi to a cloud storage service such as Microsoft OneDrive, and then generate a shareable link for the file. You can then paste the
link in the
Azure Video Indexer website and upload the video from the URL. This way, you can avoid the file size limitation and ensure that the file is accessible and valid2.
NEW QUESTION 43
HOTSPOT - (Topic 3)
You are developing a service that records lectures given in English (United Kingdom).
You have a method named AppendToTranscriptFile that takes translated text and a language identifier.
You need to develop code that will provide transcripts of the lectures to attendees in their respective language. The supported languages are English, French,
Spanish, and German.
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:
Box 1: {"fr", "de", "es"}
A common task of speech translation is to specify target translation languages, at least one is required but multiples are supported. The following code snippet sets
both French and German as translation language targets.
static async Task TranslateSpeechAsync()
{
var translationConfig =
SpeechTranslationConfig.FromSubscription(SPEECH SUBSCRIPTION KEY, SPEECH SERVICE REGION);
translationConfig.SpeechRecognitionLanguage = "it-IT";
// Translate to languages. See, https://aka.ms/speech/sttt-languages translationConfig.AddTargetLanguage("fr"); translationConfig.AddTargetLanguage("de");
}
Box 2: TranslationRecognizer
After you've created a SpeechTranslationConfig, the next step is to initialize a TranslationRecognizer.
Example code:
static async Task TranslateSpeechAsync()
{
var translationConfig =
SpeechTranslationConfig.FromSubscription(SPEECH SUBSCRIPTION KEY, SPEECH SERVICE REGION);
var fromLanguage = "en-US";
var toLanguages = new List<string> { "it", "fr", "de" }; translationConfig.SpeechRecognitionLanguage = fromLanguage;
toLanguages.ForEach(translationConfig.AddTargetLanguage);
using var recognizer = new TranslationRecognizer(translationConfig);
}
NEW QUESTION 48
DRAG DROP - (Topic 3)
You have a Custom Vision resource named acvdev in a development environment. You have a Custom Vision resource named acvprod in a production
environment.
In acvdev, you build an object detection model named obj1 in a project named proj1. You need to move obj1 to acvprod.
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:
NEW QUESTION 49
HOTSPOT - (Topic 3)
Select the answer that correctly completes the sentence.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 54
- (Topic 3)
You create a bot by using the Microsoft Bot Framework SDK.
You need to configure the bot to respond to events by using custom text responses. What should you use?
A. an adaptive card
B. an activity handler
C. a dialog
D. a skill
Answer: B
NEW QUESTION 59
- (Topic 3)
Which property of a transactional workload guarantees that each transaction is treated as a single unit that either succeeds completely or tails completely?
A. isolation
B. atomicity
C. consistency
D. durability
Answer: B
NEW QUESTION 63
- (Topic 3)
What is a characteristic of a non-relational database?
Answer: C
NEW QUESTION 65
HOTSPOT - (Topic 3)
You are developing an application to recognize employees’ faces by using the Face Recognition API. Images of the faces will be accessible from a URI endpoint.
The application has the following code.
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
NEW QUESTION 68
- (Topic 3)
You have receipts that are accessible from a URL.
You need to extract data from the receipts by using Form Recognizer and the SDK. The solution must use a prebuilt model.
Which client and method should you use?
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
NEW QUESTION 72
- (Topic 3)
You are building a Language Understanding model for an e-commerce chatbot. Users can speak or type their billing address when prompted by the chatbot.
You need to construct an entity to capture billing addresses. Which entity type should you use?
A. machine learned
B. Regex
C. list
D. Pattern.any
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
ML Entity with Structure
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
NEW QUESTION 73
HOTSPOT - (Topic 3)
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Yes
http://localhost:5000/status : Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:\output, located on container host
Box 3: Yes
http://localhost:5000/swagger : The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your
settings into a web-
based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the
HTTP headers and body format that's required.
NEW QUESTION 76
HOTSPOT - (Topic 3)
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in
images. The call returns a collection of brands named brands.
You have the following code segment.
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:
NEW QUESTION 77
DRAG DROP - (Topic 3)
You plan to build a chatbot to support task tracking.
You create a Conversational Language Understanding service named Iu1.
You need to build a Conversational Language Understanding model to Integrate into the chatbot. The solution must minimize development time to build the model.
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.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 81
- (Topic 3)
You have a text-based chatbot.
You need to enable content moderation by using the Text Moderation API of Content Moderator. Which two service responses should you use? Each correct
answer presents part of the solution NOTE: Each correct selection is worth one point.
Answer: AD
NEW QUESTION 84
HOTSPOT - (Topic 3)
Select the answer that correctly completes the sentence.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
NEW QUESTION 89
- (Topic 3)
You have an Azure Cognitive Search solution and a collection of blog posts that include a category field. You need to index the posts. The solution must meet the
following requirements:
• Include the category field in the search results.
• Ensure that users can search for words in the category field.
• Ensure that users can perform drill down filtering based on category. Which index attributes should you configure for the category field?
Answer: B
NEW QUESTION 93
DRAG DROP - (Topic 3)
You have 100 chatbots that each has its own Language Understanding model. Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value 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.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: AddPhraseListAsync Example: Add phraselist feature
var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new
PhraselistCreateObject
{
EnabledForAllModels = false, IsExchangeable = true, Name = "QuantityPhraselist", Phrases = "few,more,extra"
});
Box 2: PhraselistCreateObject
NEW QUESTION 96
- (Topic 3)
You are building a chatbot.
You need to configure the chatbot to query a knowledge base. Which dialog class should you use?
A. AdaptiveDialog
B. QnAMakerDialog
C. ComponentDialog
D. SkillDialog
Answer: B
NEW QUESTION 97
- (Topic 3)
You are building a solution that will detect anomalies in sensor data from the previous 24 hours.
You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.
Which type of detection should you use?
A. batch
B. streaming
C. change point
Answer: A
Explanation:
Batch anomaly detection is a type of anomaly detection that scans the entire dataset at once for outliers and unusual patterns. Batch anomaly detection is suitable
for offline analysis of historical data, such as sensor data from the previous 24 hours. Batch anomaly detection can use various techniques, such as statistical
methods, machine learning methods, or hybrid methods, to identify anomalies in the data123.
NEW QUESTION 98
- (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 add indexes.
Does this meet the goal?
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. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: GeographyV2
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the
application intents.
Box 2: Email
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance. Because this entity is already trained, you do not need to
add example utterances containing email to the application intents.
Box 3: Machine learned
The machine-learning entity is the preferred entity for building LUIS applications.
A. Azure Files
B. Azure Blob
C. Azure Table
D. Azure Queue
Answer: C
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Box 1: Text Analytics
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.
Box 2: Translator
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any
operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other
language-related operations.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Yes
B. No
Answer: B
Explanation:
Instead use a new intent for location.
Note: An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user's utterance.
Define a set of intents that corresponds to actions users want to take in your application. Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent
A. Deploy the bot to Azure and register the bot with a Direct Une Speech channel
B. Integrate the bot with Cortana by using the Bot Framework SDK.
C. Create an Azure function that will call the Speech service and connect the bot to the function.
D. Deploy the bot to Azure and register the bot with a Microsoft Teams channel.
Answer: B
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:
Box 1: No
User.name is a property. Box 2: Yes
Box 3: Yes
The coalesce() function evaluates a list of expressions and returns the first non-null (or non-empty for string) expression.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
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. Mastered
B. Not Mastered
Answer: A
Explanation:
To deploy the bot to Azure, you should run the following three Azure CLI commands in sequence:
? az deployment group create This command will create the Azure resources for your bot using an ARM template and a parameters file. You need to specify the
resource group name, the template file path, and the parameters file path. For example:
az deployment group create --resource-group myResourceGroup --template-file “deploymentTemplates\template-with-preexisting-rg.json” --parameters
“deploymentTemplates\parameters-for-template-BotApp-with-rg.json”
This command will also output the app ID and password of your bot, which you will need for the next command1.
? az webapp deployment source config-zip This command will deploy your bot code
to the app service that you created in the previous step. You need to specify the resource group name, the app service name, and the zip file path of your bot
code. For example:
az webapp deployment source config-zip --resource-group myResourceGroup --name myBotAppService --src “code.zip”
This command will also output the URL of your bot endpoint, which you will need for the next command2.
? az ad app update This command will update your bot registration with the endpoint
URL of your bot. You need to specify the app ID of your bot and the endpoint URL. For example:
az ad app update --id myBotAppId --set replyUrls=“https://myBotAppService.azurewebsites.net/api/messages”
This command will complete the deployment process and make your bot ready to be tested3.
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Graphical user interface, text, application, email Description automatically generated
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. Mastered
B. Not Mastered
Answer: A
Explanation:
A. storageContainer
B. tables
C. storaeeConnectionString
D. files
E. objects
Answer: DE
Answer: D
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage
A. Sentiment Analysis
B. Named Entity Recognition
C. Entity Linking
D. Key Phrase Extraction
Answer: B
A. tableName
B. generatedKeyName
C. dataSource
D. dataSourceConnection
E. source
Answer: ABE
Explanation:
Defining a table projection.
Each table requires three properties:
tableName: The name of the table in Azure Storage.
generatedKeyName: The column name for the key that uniquely identifies this row. source: The node from the enrichment tree you are sourcing your enrichments
from. This node is usually the output of a shaper, but could be the output of any of the skills.
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Answer: A
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
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.
What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a
complete solution.
NOTE: Each correct selection Is worth one point.
Answer: AD
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.
Answer: B
A. durability
B. atomicity
C. consistency
D. isolation
Answer: A
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. Create a list of FileDTO objects that represents data from the WebJob.
B. Call the clien
C. Knowledgebas
D. CreateAsync method.
E. Create a list of QnADTO objects that represents data from the WebJob.
F. Create a CreaceKbDTO object.
Answer: AC
Explanation:
Reference:
https://docs.microsoft.com/en-us/rest/api/cognitiveservices-qnamaker/qnamaker4.0/knowledgebase/create
A. Mastered
B. Not Mastered
Answer: A
Explanation:
You have an Azure Cognitive Services model named Model that identifies the intent of text input.
You develop an app in C# named App1. You need to configure App1 to use Model1. Which package should you add to App1?
A. Azure.AI.Language.Conversations
B. SpeechServicesToolkit
C. Universal.Microsoft.CognitiveServices.Speech
D. Xamarin.Cognitive.Speech
Answer: C
A. Mastered
B. Not Mastered
Answer: A
Explanation:
1) upload all the images 2.) Get suggested tags 3.) Review the suggestions and confirm the tags
A. SQL
B. XML
C. YAML
D. KOL
Answer: A
You call the method by using the following code. GetKeyPhrases(textAnalyticsClient, "the cat sat on the mat");
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:
Box 1: Yes
The Key Phrase Extraction API evaluates unstructured text, and for each JSON document, returns a list of key phrases.
Box 2: No
'the' is not a key phrase.
This capability is useful if you need to quickly identify the main points in a collection of documents. For example, given input text "The food was delicious and there
were wonderful staff", the service returns the main talking points: "food" and "wonderful staff".
Box 3: No
Key phrase extraction does not have confidence levels.
A. toScript=Cyrl
B. from=el
C. textType=html
D. to=el
E. textType=plain
F. toScript=Latn
Answer: ADF
Explanation:
C: textType is an optional parameter. It defines whether the text being translated is plain text or HTML text (used for web pages).
D: to is a required parameter. It specifies the language of the output text. The target language must be one of the supported languages included in the translation
scope.
F: toScript is an optional parameter. It specifies the script of the translated text. We use Latin (Roman alphabet) script.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0- translate
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. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill and the text translation skill
B. an indexer for Azure Blob storage attached to a skillset that contains the language detection skill
C. an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill
D. an indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill
Answer: C
Explanation:
The wiki contains text in English, French and Portuguese.
Scenario: All planned projects must support English, French, and Portuguese.
The Document Extraction skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that
normally happens before the skillset execution with files that may be generated by other skills.
Note: The Translator Text API will be used to determine the from language. The Language detection skill is not required.
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-document-extraction https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-text-
translation
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).
Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?
A. documentResults.docType == "prebuilt:receipt"
B. documentResults.fields.".confidence < 0.7
C. documentResults.fields.ReceiptType.confidence > 0.7
D. documentResults.fields.MerchantName.confidence < 0.7
Answer: D
Explanation:
Need to specify the field name, and then use < 0.7 to handle trigger if confidence score is less than 70%.
Reference:
https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/api-v2-0/reference-sdk-api-v2-0
A. Mastered
B. Not Mastered
Answer: A
Explanation:
Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model. Finally, train a custom model.
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:
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
* AI-102 Most Realistic Questions that Guarantee you a Pass on Your FirstTry
* AI-102 Practice Test Questions in Multiple Choice Formats and Updatesfor 1 Year