AI-102 V3

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 protected]] You need to select the entity types. The solution must use built-in entity types...

HOTSPOT Select the answer that correctly completes the sentence. View AnswerAnswer:

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....

HOTSPOT Select the answer that correctly completes the sentence. View AnswerAnswer:

HOTSPOT You have a collection of press releases stored as PDF files. You need to extract text from the files and perform sentiment analysis. Which service should you use for each task? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point....

Topic 3, Misc. Questions HOTSPOT You are building a model to detect objects in images. The performance of the model based on training data is shown in the following exhibit. View AnswerAnswer:

You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1. You need to ensure that only resources in vnet1 can access ta1. What should you configure?A . a network security group (NSG) for vnet1 B. Azure Firewall for vnet1 C. the...

You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements. You upload the receipt images to the From Recognizer API for analysis, and the API returns the following JSON. Which expression should you use to trigger a...

HOTSPOT For each of the following statements, select Yes if the statement is tine. Otherwise, select No. NOTE: Each correct selection is worth one point. View AnswerAnswer:

You plan to perform predictive maintenance. You collect IoT sensor data from 100 industrial machines for a year. Each machine has 50 different sensors that generate data at one-minute intervals. In total, you have 5,000 time series datasets. You need to identify unusual values in each time series to help...