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Question 31

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DRAG DROP

You have a chatbot that uses a QnA Maker application.

You enable active learning for the knowledge base used by the QnA Maker application.

You need to integrate user input into 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.

Microsoft AI-102 image Question 31 84020 09262024054204000
Correct answer: Microsoft AI-102 image answer Question 31 84020 09262024054204000
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.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base

asked 26/09/2024
Tanpisit Songvechkasam
37 questions

Question 32

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You need to enable speech capabilities for a chatbot.

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

NOTE: Each correct selection is worth one point.

Enable WebSockets for the chatbot app.
Enable WebSockets for the chatbot app.
Create a Speech service.
Create a Speech service.
Register a Direct Line Speech channel.
Register a Direct Line Speech channel.
Register a Cortana channel.
Register a Cortana channel.
Enable CORS for the chatbot app.
Enable CORS for the chatbot app.
Create a Language Understanding service.
Create a Language Understanding service.
Suggested answer: A, B, C
Explanation:

You can use the Speech service to voice-enable a chat bot.

The Direct Line Speech channel uses the text-to-speech service, which has neural and standard voices.

You'll need to make a small configuration change so that your bot can communicate with the Direct Line Speech channel using web sockets.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/tutorial-voice-enable-your-bot-speech-sdk

asked 26/09/2024
Batista Moreira
45 questions

Question 33

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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?

Regenerate the primary admin key, change the app to use the secondary admin key, and then regenerate the secondary admin key.
Regenerate the primary admin key, change the app to use the secondary admin key, and then regenerate the secondary admin key.
Change the app to use a query key, and then regenerate the primary admin key and the secondary admin key.
Change the app to use a query key, and then regenerate the primary admin key and the secondary admin key.
Regenerate the secondary admin key, change the app to use the secondary admin key, and then regenerate the primary key.
Regenerate the secondary admin key, change the app to use the secondary admin key, and then regenerate the primary key.
Add a new query key, change the app to use the new query key, and then delete all the unused query keys.
Add a new query key, change the app to use the new query key, and then delete all the unused query keys.
Suggested answer: A
Explanation:

Regenerate admin keys.

Two admin keys are created for each service so that you can rotate a primary key, using the secondary key for business continuity. 1. In the Settings >Keys page, copy the secondary key.

2. For all applications, update the API key settings to use the secondary key.

3. Regenerate the primary key.

4. Update all applications to use the new primary key.

Note: Two admin api-keys, referred to as primary and secondary keys in the portal, are automatically generated when the service is created and can be individually regenerated on demand. Having two keys allows you to roll over one key while using the second key for continued access to the service.

Reference:

https://docs.microsoft.com/en-us/azure/search/search-security-api-keys#regenerate-admin-keys

asked 26/09/2024
Antonio Agustin Mirano
39 questions

Question 34

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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 containers. Create a Cognitive Search service for each container. Within each indexer definition, schedule the same runtime execution pattern.
Split the data into multiple blob containers. Create a Cognitive Search service for each container. Within each indexer definition, schedule the same runtime execution pattern.
Split the data into multiple blob containers. Create an indexer for each container. Increase the search units. Within each indexer definition, schedule a sequential execution pattern.
Split the data into multiple blob containers. Create an indexer for each container. Increase the search units. Within each indexer definition, schedule a sequential execution pattern.
Create a Cognitive Search service for each type of document.
Create a Cognitive Search service for each type of document.
Split the data into multiple virtual folders. Create an indexer for each folder. Increase the search units. Within each indexer definition, schedule the same runtime execution pattern.
Split the data into multiple virtual folders. Create an indexer for each folder. Increase the search units. Within each indexer definition, schedule the same runtime execution pattern.
Suggested answer: D
Explanation:

Incorrect Answers:

A: Need more search units to process the data in parallel.

B: Run them in parallel, not sequentially.

C: Need a blob indexer.

Note: A blob indexer is used for ingesting content from Azure Blob storage into a Cognitive Search index.

Index large datasets

Indexing blobs can be a time-consuming process. In cases where you have millions of blobs to index, you can speed up indexing by partitioning your data and using multiple indexers to process the data in parallel. Here's how you can set this up:

Partition your data into multiple blob containers or virtual folders

Set up several data sources, one per container or folder.

Create a corresponding indexer for each data source. All of the indexers should point to the same target search index. One search unit in your service can run one indexer at any given time. Creating multiple indexers as described above is only useful if they actually run in parallel.

Reference:

https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage

asked 26/09/2024
michael brooks
40 questions

Question 35

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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
tableName
generatedKeyName
generatedKeyName
datasource
datasource
dataSourceConnection
dataSourceConnection
source
source
Suggested answer: A, B, E
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

asked 26/09/2024
Rui Carrapico
37 questions

Question 36

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You have the following data sources:

- Finance: On-premises Microsoft SQL Server database

- Sales: Azure Cosmos DB using the Core (SQL) API

- Logs: Azure Table storage

- HR: Azure SQL database

You need to ensure that you can search all the data by using the Azure Cognitive Search REST API.

What should you do?

Configure multiple read replicas for the data in Sales.
Configure multiple read replicas for the data in Sales.
Mirror Finance to an Azure SQL database.
Mirror Finance to an Azure SQL database.
Migrate the data in Sales to the MongoDB API.
Migrate the data in Sales to the MongoDB API.
Ingest the data in Logs into Azure Sentinel.
Ingest the data in Logs into Azure Sentinel.
Suggested 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

asked 26/09/2024
James Morris
40 questions

Question 37

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

keyPhrases
keyPhrases
sentiment
sentiment
languages
languages
entities/recognition/general
entities/recognition/general
Suggested answer: A
Explanation:

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

asked 26/09/2024
laurence peterson
47 questions

Question 38

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HOTSPOT

You are developing a text processing solution.

You develop the following method.

Microsoft AI-102 image Question 6 84000 09262024174204000000

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.

Microsoft AI-102 image Question 38 84000 09262024054204000
Correct answer: Microsoft AI-102 image answer Question 38 84000 09262024054204000
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.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-keyword-extraction

asked 26/09/2024
James DePhillip
50 questions

Question 39

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HOTSPOT

You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.

Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Microsoft AI-102 image Question 39 84001 09262024054204000
Correct answer: Microsoft AI-102 image answer Question 39 84001 09262024054204000
Explanation:

Box 1: Object projection

Object projections are JSON representations of the enrichment tree that can be sourced from any node.

Box 2: File projection

File projections are similar to object projections and only act on the normalized_images collection.

Reference:

https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview

asked 26/09/2024
ronald ramos
52 questions

Question 40

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HOTSPOT

You are building an Azure Cognitive Search custom skill.

You have the following custom skill schema definition.

Microsoft AI-102 image Question 8 84002 09262024174204000000

For each of the following statements, select Yes if the statement. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Microsoft AI-102 image Question 40 84002 09262024054204000
Correct answer: Microsoft AI-102 image answer Question 40 84002 09262024054204000
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.

Reference:

https://docs.microsoft.com/en-us/azure/search/cognitive-search-output-field-mapping

asked 26/09/2024
Verónica Crespo
43 questions
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