Master the AI-102 Designing and Implementing an Azure AI Solution content and be ready for exam day success quickly with this Passleader AI-102 free exam. We guarantee it!We make it a reality and give you real AI-102 questions in our Microsoft AI-102 braindumps.Latest 100% VALID Microsoft AI-102 Exam Questions Dumps at below page. You can use our Microsoft AI-102 braindumps and pass your exam.
Free demo questions for Microsoft AI-102 Exam Dumps Below:
NEW QUESTION 1
Which scenario is an example of a streaming workload?
- A. sending transactions daily from point of sale (POS) devices
- B. sending cloud infrastructure metadata every 30 minutes
- C. sending transactions that are older than a month to an archive
- D. sending telemetry data from edge devices
Answer: D
NEW QUESTION 2
HOTSPOT
Select the answer that correctly completes the sentence.
Solution:
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 3
DRAG DROP
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets. Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to
[email@domain.com]
You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.
Solution:
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.
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 4
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?
- A. Configure multiple read replicas for the data in Sales.
- B. Mirror Finance to an Azure SQL database.
- C. Migrate the data in Sales to the MongoDB API.
- D. Ingest the data in Logs into Azure Sentinel.
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
NEW QUESTION 5
HOTSPOT
You are building an Azure Cognitive Search custom skill. You have the following custom skill schema definition.
For each of the following statements, select Yes if the statement. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Solution:
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.
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 6
DRAG DROP
You have a Docker host named Host1 that contains a container base image.
You have an Azure subscription that contains a custom speech-to-text model named model1.
You need to run model1 on Host1.
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.
Solution:
According to the course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution1, the correct sequence of actions to run model1 on Host1 is:
✑ Export model1 to Host1
✑ Run the container
✑ Configure disk logging
The explanation and references are as follows:
✑ Export model1 to Host1: This step is required to deploy the custom speech-to-text model to the Docker host. You can use the Azure portal or the Azure CLI to export the model as a container image2.
✑ Run the container: This step is required to start the container and run the model on the Docker host. You can use the Docker CLI to run the container image3.
✑ Configure disk logging: This step is optional but recommended to monitor the performance and health of the container. You can use the Docker CLI to configure disk logging for the container4.
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 7
You need to store event log data that is semi-structured and received as the logs occur. What should you use?
- A. Azure Table storage
- B. Azure Queue storage
- C. Azure Files
Answer: A
NEW QUESTION 8
You have a chatbot that was built by using Microsoft Bot Framework and deployed to Azure.
You need to configure the bot to support voice interactions. The solution must support multiple client apps.
Which type of channel should you use?
- A. Cortana
- B. Microsoft Teams
- C. Direct Line Speech
Answer: C
NEW QUESTION 9
You are developing the knowledgebase.
You use Azure Video Analyzer for Media (previously Video indexer) to obtain transcripts of webinars.
You need to ensure that the solution meets the knowledgebase requirements. What should you do?
- A. Create a custom language model
- B. Configure audio indexing for videos only
- C. Enable multi-language detection for videos
- D. Build a custom Person model for webinar presenters
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).
NEW QUESTION 10
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 11
DRAG DROP
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.
Solution:
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 12
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
- A. Text Analytics
- B. Content Moderator
- C. Computer Vision
- D. Form Recognizer
Answer: A
Explanation:
Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.
Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:
Reference:
https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services- steve-dalai
NEW QUESTION 13
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
Answer: A
Explanation:
The model needs to be extended and retrained.
NEW QUESTION 14
DRAG DROP
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.
Solution:
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
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 15
HOTSPOT
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
• Prevent access to Search1 from the internet.
• Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
Solution:
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 16
You need to measure the public perception of your brand on social media by using natural language processing. Which Azure service should you use?
- A. Content Moderator
- B. Form Recognizer
- C. Computer Vision
- D. Language service
Answer: D
NEW QUESTION 17
DRAG DROP
You are developing an application that will recognize faults in components produced on a factory production line. The components are specific to your business.
You need to use the Custom Vision API to help detect common faults.
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.
Solution:
Step 1: Create a project Create a new project.
Step 2: Upload and tag the images
Choose training images. Then upload and tag the images.
Step 3: Train the classifier model. Train the classifier
Does this meet the goal?
- A. Yes
- B. Not Mastered
Answer: A
NEW QUESTION 18
......
100% Valid and Newest Version AI-102 Questions & Answers shared by Certshared, Get Full Dumps HERE: https://www.certshared.com/exam/AI-102/ (New 321 Q&As)