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  4. Microsoft.AI-100.v2026-07-27.q119 Dumps
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Question 66

Your company plant to monitor twitter hashtags. and then to build a graph of connected people and places that contains the associated sentiment.
The monitored hashtags use several languages, but the graph will be displayed in English.
You need to recommend the required Azure Cognitive Services endpoints (or the planned graph Which Cognitive Services endpoints should you recommend?

Correct Answer: D
Explanation
Sentiment analysis, which is also called opinion mining, uses social media analytics tools to determine attitudes toward a product or idea.
Translator Text: Translate text in real time across more than 60 languages, powered by the latest innovations in machine translation.
The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases.
This skill uses the machine learning models provided by Text Analytics in Cognitive Services.
This capability is useful if you need to quickly identify the main talking points in the record. For example, given input text "The food was delicious and there were wonderful staff", the service returns "food" and
"wonderful staff".
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-lin
https://docs.microsoft.com/en-us/azure/search/cognitive-search-skill-keyphrases
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Question 67

You have an intelligent edge solution that processes data and outputs the data to an Azure Cosmos DB account that uses the SQL API.
You need to ensure that you can perform full text searches of the data.
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.

Correct Answer:

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/search/search-howto-index-cosmosdb
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Question 68

You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started
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Question 69

You design an AI workflow that combines data from multiple data sources for analysis. The data sources are composed of:
* JSON files uploaded to an Azure Storage account
* On-premises Oracle databases
* Azure SQL databases
Which service should you use to ingest the data?

Correct Answer: A
Explanation/Reference:
References:
https://docs.microsoft.com/en-us/azure/data-factory/introduction
Design solutions
Testlet 2
Overview
Contoso, Ltd. has an office in New York to serve its North American customers and an office in Paris to serve its European customers.
Existing Environment
Infrastructure
Each office has a small data center that hosts Active Directory services and a few off-the-shelf software solutions used by internal users.
The network contains a single Active Directory forest that contains a single domain named contoso.com. Azure Active Directory (Azure AD) Connect is used to extend identity management to Azure.
The company has an Azure subscription. Each office has an Azure ExpressRoute connection to the subscription. The New York office connects to a virtual network hosted in the US East 2 Azure region. The Paris office connects to a virtual network hosted in the West Europe Azure region.
The New York office has an Azure Stack Development Kit (ASDK) deployment that is used for development and testing.
Current Business Model
Contoso has a web app named Bookings hosted in an App Service Environment (ASE). The ASE is in the virtual network in the East US 2 region. Contoso employees and customers use Bookings to reserve hotel rooms.
Data Environment
Bookings connects to a Microsoft SQL Server database named hotelDB in the New York office.
The database has a view named vwAvailability that consolidates columns from the tables named Hotels, Rooms, and RoomAvailability. The database contains data that was collected during the last 20 years.
Problem Statements
Contoso identifies the following issues with its current business model:
* European users report that access to Booking is slow, and they lose customers who must wait on the phone while they search for available rooms.
* Users report that Bookings was unavailable during an outage in the New York data center for more than 24 hours.
Requirements
Contoso identifies the following issues with its current business model:
* European users report that access to Bookings is slow, and they lose customers who must wait on the phone while they search for available rooms.
* Users report that Bookings was unavailable during on outage in the New York data center for more than 24 hours.
Business Goals
Contoso wants to provide a new version of the Bookings app that will provide a highly available, reliable service for booking travel packages by interacting with a chatbot named Butler.
Contoso plans to move all production workloads to the cloud.
Technical requirements
Contoso identifies the following technical requirements:
* Data scientists must test Butler by using ASDK.
* Whenever possible, solutions must minimize costs.
* Butler must greet users by name when they first connect.
* Butler must be able to handle up to 10,000 messages a day.
* Butler must recognize the users' intent based on basic utterances.
* All configurations to the Azure Bot Service must be logged centrally.
* Whenever possible, solutions must use the principle of least privilege.
* Internal users must be able to access Butler by using Microsoft Skype for Business.
* The new Bookings app must provide a user interface where users can interact with Butler.
* Users in an Azure AD group named KeyManagers must be able to manage keys for all Azure Cognitive Services.
* Butler must provide users with the ability to reserve a room, cancel a reservation, and view existing reservations.
* The new Bookings app must be available to users in North America and Europe if a single data center or Azure region fails.
* For continuous improvement, you must be able to test Butler by sending sample utterances and comparing the chatbot's responses to the actual intent.
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Question 70

DRAG DROP
You use an Azure key vault to store credentials for several Azure Machine Learning applications.
You need to configure the key vault to meet the following requirements:
Ensure that the IT security team can add new passwords and periodically change the passwords.
Ensure that the applications can securely retrieve the passwords for the applications.
Use the principle of least privilege.
Which permissions should you grant? To answer, drag the appropriate permissions to the correct targets. Each permission 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.

Correct Answer:

Explanation:
Incorrect Answers:
Not Keys as they are used for encryption only.
References:
https://docs.microsoft.com/en-us/azure/key-vault/key-vault-secure-your-key-vault
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