AI102-Quiz3

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AI102-Q81

You are enriching your Azure Cognitive Search service with knowledge store projections. The main requirement is to

save the image extracted from the documents.

Which type of projection you need to use?

Tables

Objects

Files

Message

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AI102-Q82

You have been asked to develop a real-time speech-to-speech translation prototype that will be showcased in the next

corporate webinar. The prototype will translate conversational English to Spanish, French, and Italian for now.

What is the most suitable approach to follow?

Develop one app using Azure Al Translator and select translation of English into Spanish, French, and Italian.

Develop one app using the Speech Service SDK and add Spanish, French, and Italian as target translation languages.

Develop separate apps using the Speech Service SDK to translate English into one of the three target languages.

Develop one app to convert the speech to text using the Speech Service SDK, translate the speech with Azure Al Translator, and then read the translations with Azure Al Immersive Reader.

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AI102-Q83

After your company’s call center support staff receive a call, you need to implement an Al solution to identify additional

metrics.

The solution requires:

*Processing speech in English, French, and Spanish.

eldentifying the main topics of customer calls, and

¢Implementing sentiment analysis

Which of the following Azure Al services does this solution require? (Choose 2 answers)

Azure Al Speech service’s Speech-to-Text

Azure Al Speech service’s Text-to-Speech

Azure Al Translator

Azure Al Language

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AI102-Q84

You are training a Conversational Language Understanding (CLU) application. After you finish training a CLU app,

it receives a prediction score of 0.01. How can you describe the result?

A definite failure to match

A high-confidence, low-error model

A low-confidence, high-error model

A definite match

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AI102-Q85

Your company decided to use the Azure Al Vision to analyze images for insights extraction. Given a set of input

parameters, such as region/transactions and required features, you have been asked to estimate the upfront and

recurring fees for implementing and using this service in a production-level environment.

How could you estimate costs?

Collect the required features/inputs elements and send a request to Azure support.

Use the Azure Price Calculator to estimate costs.

Create the resources, send sample traffic, and then extrapolate costs using Cost Analysis in the Azure Portal.

Hire a specialized firm for an accurate estimation.

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AI102-Q86

You developed a chatbot using Conversational Language Understanding (CLU) and published it. The end user interacts

with the bot by sending inputs to be interpreted by the application and receiving responses.

What is the exact nomination of those inputs?

Utterances

Intents

Entities

Patterns

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AI102-Q87

You are using the Speech SDK to access the speech service for an application in development. During the tests, you

noticed that attempts to connect frequently result in HTTP 403 Forbidden and HTTP 401 Unauthorized errors.

What could be the root cause of the 403 errors? (Choose 3 answers)

The subscription key is missing.

The subscription usage quota exceeded.

The endpoint is invalid.

The subscription key is invalid.

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AI102-Q88

A developer is working with Azure Cognitive Search and wants to enhance the current pipeline by adding searchable

content out of raw unstructured text in multiple languages and apply language detection and translation.

What is the most appropriate approach to fulfill those requirements?

Use Al Enrichment with custom skills to integrate with Translator and Computer Vision API.

Train and deploy custom models for language detection and translation, then use Al Enrichment to call those APIs.

Use Al Enrichment with built-in skills for language detection and translation.

Train and deploy custom models for language detection and translation then call those API right after the source documents are ‘cracked.’

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AI102-Q89

You have been asked to build a solution using Azure and ensure its compliance with Microsoft Al principles.

Which of the following is not a Microsoft Al principle?

Privacy and Security

Transparency

Accountability

Scalability

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AI102-Q90

You want to classify URL-based images using Custom Vision Prediction API. Review the following Python 3 code

fragment.

import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {

“Content-Type’: ‘application/json’,

*Prediction-Key’: ‘{prediction key}’,

}

body = “{*Url’ : ‘” + url + “” }”

try:

conn = http.client.HTTPSConnection(‘southcentralus.api.cognitive.microsoft.com’ )

conn.request(“POST”, “/customvision/v3.0/Prediction/{projectId}/ {PROJECT TYPE}/iterations/{iterationName}/{IMAGE TYPE}”, body, headers)

response = conn.getresponse()

aa = wesponse saed()”

print(data)

conn.close()

except Exception as e:

print(“[Errno {@}] {1}”.format(e.errno, e.strerror))

What parameters should replace PROJECT_TYPE and IMAGE_TYPE in this code snippet?

Enter ‘classify’ for (PROJECT_TYPE} parameter and enter ‘url’ for the {IMAGE_TYPE} parameter.

Enter ‘detect’ for the (PROJECT_TYPE} parameter and enter ‘image’ for the {IMAGE_TYPE} parameter.

Enter ‘classify’ for the {PROJECT_TYPE} parameter and enter ‘image’ for the {IMAGE_TYPE} parameter.

Enter ‘detect’ for the {(PROJECT_TYPE} parameter and ‘url’ for the {IMAGE_TYPE} parameter.

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AI102-Q91

Which of the following techniques is not used for natural language processing?

Tokenization

Stemming

Lemmatization

Optical Character Recognition

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AI102-Q92

You have been asked by your management to process all internal such as documents, contracts, and invoices.

This process needs to identify and classify personal and sensitive information that may exist to be compliant with the

regulation and respect customer privacy.

What is the most suitable approach to use?

Develop a custom machine learning model to identify efficiently personal info and sensitive data.

Use Computer Vision Optical Character Recognition and custom scripts using heuristics.

Use the Azure Al Language Named Entity Recognition (NER) to identify personal info and classify the documents.

Process the documents by integrating the Text Analytics Key Phrases API with Power BI.

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AI102-Q93

Your company must process hundreds of sales receipts manually and wants to automate the process. All the

receipts are available in JPEG and PDF format and 2-3 MB in size. You decided to choose an Azure Al service for such

cases.

What is the most appropriate service to use?

Azure Al Vision

Azure Al Custom Vision

Azure Al Document Intelligence

Azure Al Personalizer

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AI102-Q94

You received a business requirement from the marketing department for building a Chatbot as a new customer

communication channel via social media.

The Chatbot needs to be able to respond to customer questions in natural language using the existing knowledge base

published on the company’s FAQ webpage.

Which Azure service would you use to accomplish this task? (Choose 2 answers)

Q&A Maker

Azure Bot Service

Bing Search Service

Text Analytics

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AI102-Q95

You just received the results of the customer experience tests campaign for a recently released Conversational

Language Understanding (CLU) app. You notice that the majority of the feedback is about inaccurate responses given to

the customers.

What modifications could you implement to enhance the prediction accuracy of the CLU app? (Choose 2 answers)

Enable active learning for the current application.

Build a new version of the application with a collection of ‘good’ utterances.

Add entity roles to your CLU application.

Duplicate the utterances for your CLU application.

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AI102-Q96

Which of the following scenarios is not suited for built-in skills for Azure Cognitive Search?

Scanned documents (JPEG) that you want to make full-text searchable.

Multi-lingual content against which you want to apply language detection and possibly text translation.

Unstructured or semi-structured documents containing content that has inherent meaning or context that is hidden in the larger document.

Identify and extract text, key-value pairs, selection marks, or tables from your documents as forms.

Category: None

AI102-Q97

What are scoring profile names used in this index? (Choose 2 answers

freshness

boostGenre

magnitude

newAndHighlyRated

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AI102-Q98

You have the following Python method.

def create_resource (resource_name, kind, account_tier, location) :

parameters = CognitiveServicesAccount(sku=Sku(name=account_tier), kind=kind, location=location, properties={})

result = cogSvcClient.accounts.create(resource_group_name, resource_name, parameters)

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?

create_resource(‘res1″, “TextAnalytics”, “Standard”, “East US”)

create_resource(“res1”, “ContentModerator”, “SO”, “eastus”)

create_resource(“res1”, “ContentModerator”, “Standard”, “East US”)

create_resource(“res1”, “TextAnalytics”, “SO”, “eastus”)

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AI102-Q99

Which output will you receive?

The quick The lazy

the quick brown fox jumps over the lazy dog

jumps over the

quick brown fox lazy dog

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AI102-Q100

You build a language model by using a Conversational Language Understanding. 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 | know in Seattle?

*Search for contacts in Ukraine.

You need to implement the phrase list in Conversational Language Understanding.

Solution: You create a new utterance for each phrase in the FindContact intent.

Does this meet the goal?

Yes

No

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AI102-Q101

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 .zip file that contains 10-second .wav files and the associated transcripts as .txt files

a five-minute .flac audio file and the associated transcript as a .txt file

a .wav or .mp3 file of the voice talent consenting to the creation of a synthetic version of their voice

a five-minute .wav or .mp3 file of the voice talent describing the kiosk system

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AI102-Q102

You are developing an app that will use the Decision and Language APIs.

You need to provision resources for the app. The solution must ensure that each service is

accessed by using a single endpoint and credential.

Which type of resource should you create?

Language

Speech

Azure Cognitive Services

Content Moderator

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AI102-Q103

You are building an Azure Al 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 train the model.

Which type of custom entity should you use?

Pattern.any

machine-learning

regular expression

list

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AI102-Q104

You have an Azure subscription that contains an Azure Cognitive Service for Language resource.

You need to identify the URL of the REST interface for the Language service.

Which blade should you use in the Azure portal?

ldentity

Keys and Endpoint

Networking

Properties

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AI102-Q105

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?

Add follow-up prompts.

Enable active learning.

Add alternate questions.

Enable chit-chat.

Category: None

AI102-Q106

You are developing the smart e-commerce project.

You need to implement autocompletion as part of the Cognitive Search solution.

Which three actions should you perform? Each correct answer presents part of the solution.

(Choose three.) NOTE: Each correct selection is worth one point.

Make API queries to the autocomplete endpoint and include suggesterName in the body.

Add a suggester that has the three product name fields as source fields.

Make API queries to the search endpoint and include the product name fields in the searchFields query parameter.

Add a suggester for each of the three product name fields.

Set the searchAnalyzer property for the three product name variants.

Set the analyzer property for the three product name variants.

Category: None

AI102-Q107

Solution:

Box 1: Stream

The File.OpenRead(String) method opens an existing file for reading. Example: Open the stream and

read it back.

using (FileStream fs = File.OpenRead(path)) Box 2: CreateAsync

Create the persons for the PersonGroup. Persons are created concurrently. Example:

await faceClient.PersonGroupPerson.CreateAsync(personGroupld, personName);

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/how-to-add-

faces

Does this meet the goal?

Yes

No

Category: None

AI102-Q108

You are building an Azure Weblob that will create knowledge bases from an array of URLs.

You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable

named client.

You need to develop a method to create the knowledge bases.

Which two actions should you include in the method? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Create a list of FileDTO objects that represents data from the WebJob.

Call the clien

Knowledgebas

CreateAsync method.

Create a list of QNADTO objects that represents data from the WebJob.

Create a CreaceKbDTO object.

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AI102-Q109

You need to implement a table projection to generate a physical expression of an Azure Cognitive

Search index.

Which three properties should you specify in the skillset definition JSON configuration table node?

Each correct answer presents part of the solution. (Choose three.)

NOTE: Each correct selection is worth one point.

tableName

generatedKeyName

dataSource

dataSourceConnection

source

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AI102-Q110

You successfully run the following HTTP request. POST

https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-

a54745f708a1/resourceGroups/RG1/pro

Body{“keyName”: “Key2”} What is the result of the request?

A key for Azure Cognitive Services was generated in Azure Key Vault.

A new query key was generated.

The primary subscription key and the secondary subscription key were rotated.

The secondary subscription key was reset.

Category: None

AI102-Q111

You have an existing Azure Cognitive Search service.

You have an Azure Blob storage account that contains millions of scanned documents stored

as images and PDFs.

You need to make the scanned documents available to search as quickly as possible. What

should you do?

Split the data into multiple blob container

Create a Cognitive Search service for each containe

Within each indexer definition, schedule the same runtime execution pattern.

Split the data into multiple blob container

Create an indexer for each containe

Increase the search unit

Within each indexer definition, schedule a sequential execution pattern.

Create a Cognitive Search service for each type of document.

Split the data into multiple virtual folder

Create an indexer for each folde

Increase the search units.Within each indexer definition, schedule the same runtime execution pattern.

Category: None

AI102-Q112

You are building a language model by using a Language Understanding

service. You create a new Language Understanding resource.

You need to add more contributors. What should you use?

a conditional access policy in Azure Active Directory (Azure AD)

the Access control (1AM) page for the authoring resources in the Azure portal

the Access control (1AM) page for the prediction resources in the Azure portal

Category: None

AI102-Q113

You are building a multilingual chatbot.

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.

Linked entities from a well-known knowledge base

Sentiment Analysis

Key Phrases

Detect Language

Named Entity Recognition

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