Microsoft Microsoft Certifications AI-102 Questions & Answers

• Question 51:

  You are developing a solution to generate a word cloud based on the reviews of a company's products. Which Text Analytics REST API endpoint should you use?

  A. keyPhrases

  B. sentiment

  C. languages

  D. entities/recognition/general

  Correct Answer: A

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

• Question 52:

  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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.

  You need to add the new images to the classifier.

  Solution: You create a new model, and then upload the new images and labels.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  The model needs to be extended and retrained.

• Question 53:

  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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.

  You need to add the new images to the classifier.

  Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  The model needs to be extended and retrained.

• Question 54:

  You successfully run the following HTTP request.

  POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc- a54745f708a1/resourceGroups/RG1/providers/Microsoft.CognitiveServices/accounts/conto sol/regenerateKey?api-version=2017-04-18

  Body{"keyName": "Key2"}

  What is the result of the request?

  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.

  Correct Answer: D

• Question 55:

  You are developing a method for an application that uses the Translator API.

  The method will receive the content of a webpage, and then translate the content into Greek (el). The result will also contain a transliteration that uses the Roman alphabet.

  You need to create the URI for the call to the Translator API. You have the following URI.

  https://api.cognitive.microsofttranslator.com/translate?api-version=3.0

  Which three additional query parameters should you include in the URI? Each correct answer presents part of the solution. (Choose three.)

  NOTE: Each correct selection is worth one point.

  A. toScript=Cyrl

  B. from=el

  C. textType=html

  D. to=el

  E. textType=plain

  F. toScript=Latn

  Correct Answer: CDF

  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

• Question 56:

  You need to recommend a non-relational data store that is optimized for storing and retrieving text files, videos, audio streams, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file. Which type of data store should you recommend?

  A. columnar

  B. key/value

  C. document

  D. object

  Correct Answer: D

• Question 57:

  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

  Correct Answer: B

• Question 58:

  You are developing a method that uses the Computer Vision client library. The method will perform optical character recognition (OCR) in images. The method has the following code.

  

  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.

  A. Remove the Guid.Parse(operationId) parameter.

  B. Add code to verify the results.Status value.

  C. Add code to verify the status of the txtHeaders.Status value.

  D. Wrap the call to GetReadResultAsync within a loop that contains a delay.

  Correct Answer: BD

  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

• Question 59:

  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.

  A. Linked entities from a well-known knowledge base

  B. Sentiment Analysis

  C. Key Phrases

  D. Detect Language

  E. Named Entity Recognition

  Correct Answer: BD

  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

• Question 60:

  You are developing an application that will use Azure Cognitive Search for internal documents.

  You need to implement document-level filtering for Azure Cognitive Search.

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

  NOTE: Each correct selection is worth one point.

  A. Send Azure AD access tokens with the search request.

  B. Retrieve all the groups.

  C. Retrieve the group memberships of the user.

  D. Add allowed groups to each index entry.

  E. Create one index per group.

  F. Supply the groups as a filter for the search requests.

  Correct Answer: CDF

  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