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Online AI-100 free questions and answers of New Version:

NEW QUESTION 1

Your company has factories in 10 countries. Each factory contains several thousand IoT devices. The devices present status and trending data on a dashboard.
You need to ingest the data from the IoT devices into a data warehouse.
Which two Microsoft Azure technologies should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Azure Stream Analytics
  • B. Azure Data Factory
  • C. an Azure HDInsight cluster
  • D. Azure Batch
  • E. Azure Data Lake

Answer: CE

Explanation:
With Azure Data Lake Store (ADLS) serving as the hyper-scale storage layer and HDInsight serving as the Hadoop-based compute engine services. It can be used for prepping large amounts of data for insertion into a Data Warehouse
References:
https://www.blue-granite.com/blog/azure-data-lake-analytics-holds-a-unique-spot-in-the-modern-dataarchitectur

NEW QUESTION 2

You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
AI-100 dumps exhibit Visual text recognition
AI-100 dumps exhibit Audio transcription
AI-100 dumps exhibit Sentiment analysis
AI-100 dumps exhibit Face detection
Which Azure Cognitive Services should you use in the pipeline?

  • A. Custom Speech Service
  • B. Face API
  • C. Text Analytics
  • D. Video Indexer

Answer: D

Explanation:
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models described below:
Visual text recognition (OCR): Extracts text that is visually displayed in the video. Audio transcription: Converts speech to text in 12 languages and allows extensions.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text. Face detection: Detects and groups faces appearing in the video.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview

NEW QUESTION 3

Which RBAC role should you assign to the KeyManagers group?

  • A. Cognitive Services Contributor
  • B. Security Manager
  • C. Cognitive Services User
  • D. Security Administrator

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles

NEW QUESTION 4

You need to build a sentiment analysis solution that will use input data from JSON documents and PDF documents. The JSON documents must be processed in batches and aggregated.
Which storage type should you use for each file type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/batch-processing

NEW QUESTION 5

You are designing a solution that will use the Azure Content Moderator service to moderate user-generated content.
You need to moderate custom predefined content without repeatedly scanning the collected content. Which API should you use?

  • A. Term List API
  • B. Text Moderation API
  • C. Image Moderation API
  • D. Workflow API

Answer: A

Explanation:
The default global list of terms in Azure Content Moderator is sufficient for most content moderation needs. However, you might need to screen for terms that are specific to your organization. For example, you might
want to tag competitor names for further review.
Use the List Management API to create custom lists of terms to use with the Text Moderation API. The Text - Screen operation scans your text for profanity, and also compares text against custom and shared blacklists.

NEW QUESTION 6

You are configuring data persistence for a Microsoft Bot Framework application. The application requires a structured NoSQL cloud data store.
You need to identify a storage solution for the application. The solution must minimize costs. What should you identify?

  • A. Azure Blob storage
  • B. Azure Cosmos DB
  • C. Azure HDInsight
  • D. Azure Table storage

Answer: D

Explanation:
Table Storage is a NoSQL key-value store for rapid development using massive semi-structured datasets You can develop applications on Cosmos DB using popular NoSQL APIs.
Both services have a different scenario and pricing model.
While Azure Storage Tables is aimed at high capacity on a single region (optional secondary read only region but no failover), indexing by PK/RK and storage-optimized pricing; Azure Cosmos DB Tables aims for high throughput (single-digit millisecond latency), global distribution (multiple failover), SLA-backed predictive performance with automatic indexing of each attribute/property and a pricing model focused on throughput.
References:
https://db-engines.com/en/system/Microsoft+Azure+Cosmos+DB%3BMicrosoft+Azure+Table+Storage

NEW QUESTION 7

You need to configure security for an Azure Machine Learning service used by groups of data scientists. The groups must have access to only their own experiments and must be able to grant permissions to the members of their team.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/machine-learning-server/operationalize/configure-roles#how-are-roles-assigne https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-assign-roles

NEW QUESTION 8

You need to design an application that will analyze real-time data from financial feeds.
The data will be ingested into Azure IoT Hub. The data must be processed as quickly as possible in the order in which it is ingested.
Which service should you include in the design?

  • A. Azure Data Factory
  • B. Azure Queue storage
  • C. Azure Stream Analytics
  • D. Azure Notification Hubs

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/real-time-processing

NEW QUESTION 9

You need to build a pipeline for an Azure Machine Learning experiment.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
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Answer: A

Explanation:
References:
https://azure.microsoft.com/en-in/blog/experimentation-using-azure-machine-learning/ https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-modules

NEW QUESTION 10

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.
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Answer: A

Explanation:
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NEW QUESTION 11

You need to design the Butler chatbot solution to meet the technical requirements.
What is the best channel and pricing tier to use? More than one answer choice may achieve the goal Select the BEST answer.

  • A. standard channels that use the S1 pricing tier
  • B. standard channels that use the Free pricing tier
  • C. premium channels that use the Free pricing tier
  • D. premium channels that use the S1 pricing tier

Answer: D

Explanation:
References:
https://azure.microsoft.com/en-in/pricing/details/bot-service/

NEW QUESTION 12

You need to design the workflow for an Azure Machine Learning solution. The solution must meet the following requirements:
Retrieve data from file shares, Microsoft SQL Server databases, and Oracle databases that in an on-premises network.
Use an Apache Spark job to process data stored in an Azure SQL Data Warehouse database.
Which service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service 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.
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Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/use-data-from-an-on-premises-sql-server https://docs.microsoft.com/en-in/azure/azure-databricks/what-is-azure-databricks

NEW QUESTION 13

You need to build a solution to monitor Twitter. The solution must meet the following requirements:
• Send an email message to the marketing department when negative Twitter messages are detected.
• Run sentiment analysis on Twitter messages that mention specific tags.
•Use the least amount of custom code possible.
Which two services should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. Azure Databricks
  • B. Azure Stream Analytics
  • C. Azure Functions
  • D. Azure Cognitive Services
  • E. Azure Logic Apps

Answer: BE

Explanation:
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/streaming-technologies https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-twitter-sentiment-analysis-trends

NEW QUESTION 14

You have a container image that contains an Al solution. The solution will be used on demand and will only be needed a few hours each month.
You plan to use Azure Functions to deploy the environment on-demand.
You need to recommend the deployment process. The solution must minimize costs.
Which four actions should you recommend Azure Functions 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.
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Answer: A

Explanation:
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NEW QUESTION 15

Your company develops an AI application that is orchestrated by using Kubernetes. You need to deploy the application.
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each
correct selection is worth one point.

  • A. Create a Kubernetes cluster.
  • B. Create an Azure Container Registry instance.
  • C. Create a container image file.
  • D. Create a Web App for Containers.
  • E. Create an Azure container instance.

Answer: ABC

Explanation:
References:
https://docs.microsoft.com/en-us/azure/aks/tutorial-kubernetes-prepare-app

NEW QUESTION 16

You design an Al 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?

  • A. Azure Data Factory
  • B. Azure SQL Data Warehouse
  • C. Azure Data Lake Storage
  • D. Azure Databricks

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/data-factory/introduction

NEW QUESTION 17

You plan to deploy an application that will perform image recognition. The application will store image data in two Azure Blob storage stores named Blob! and Blob2. You need to recommend a security solution that meets the following requirements:
•Access to Blobl must be controlled by a using a role.
•Access to Blob2 must be time-limited and constrained to specific operations.
What should you recommend using to control access to each blob store? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-auth

NEW QUESTION 18

You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
•Email a user the picture and location of an anomaly when an anomaly is detected.
•Use a video stream to detect anomalies at the location.
•Send the pictures and location information to Azure.
•Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service 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.
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Answer: A

Explanation:
Box 1: Azure IOT Edge Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions Box 3: Azure Logic Apps References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge

NEW QUESTION 19

You plan to design a solution for an Al implementation that uses data from loT devices.
You need to recommend a data storage solution for the loT devices that meets the following requirements:
•Allow data to be queried in real-time as it streams into the solution.
•Provide the lowest amount of latency for loading data into the solution. What should you include in the recommendation?

  • A. a Microsoft Azure SQL database that has In-Memory OLTP enabled
  • B. a Microsoft Azure HDInsight R Server cluster
  • C. a Microsoft Azure Table Storage solution
  • D. a Microsoft Azure HDInsight Hadoop cluster

Answer: D

Explanation:
You can use HDInsight to process streaming data that's received in real time from a variety of devices. Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

NEW QUESTION 20

You are developing an application that will perform optical character recognition of photos of medical logbooks. You need to recommend a solution to validate the data against a validated set of records. Which service should you include in the recommendation?

  • A. Azure Data Catalog
  • B. Text Analytics
  • C. Bing Autosuggest
  • D. Master Data Services (MDS) in Microsoft SQL Server

Answer: D

Explanation:
References:
https://docs.microsoft.com/en-us/sql/master-data-services/validation-master-data-services?view=sql-server-2017

NEW QUESTION 21

You need to design an application that will analyze real-time data from financial feeds. The data will be ingested into Azure loT Hub. The data must be processed as quickly as possible in the order in which it is ingested.
Which service should you include in the design?

  • A. Azure Event Hubs
  • B. Azure Data Factory
  • C. Azure Stream Analytics
  • D. Apache Kafka

Answer: D

NEW QUESTION 22

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 create several Al models in Azure Machine Learning Studio. You deploy the models to a production environment.
You need to monitor the compute performance of the models. Solution: You create environment files.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
You need to enable Model data collection. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-data-collection

NEW QUESTION 23

You need to deploy cognitive search. You provision an Azure Search service. What should you do next?

  • A. Search by using the .NET SDK.
  • B. Load data.
  • C. Search by using the REST API.
  • D. Create an index.

Answer: D

Explanation:
You create a data source, a skillset, and an index. These three components become part of an indexer that pulls each piece together into a single multi-phased operation.
Note: At the start of the pipeline, you have unstructured text or non-text content (such as image and scanned document JPEG files). Data must exist in an Azure data storage service that can be accessed by an indexer.
Indexers can "crack" source documents to extract text from source data. References:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-tutorial-blob

NEW QUESTION 24
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