NEW QUESTION 1

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.

• A. Mastered
• B. Not Mastered

Answer: A

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

NEW QUESTION 2

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 3

You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:
Visual text recognition
Audio transcription
Sentiment analysis
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 4

You are designing an Azure Batch Al solution that will be used to train many different Azure Machine Learning models. The solution will perform the following:
• Image recognition
• Deep learning that uses convolutional neural networks
You need to select a compute infrastructure for each model. The solution must minimize the processing time. What should you use for each model? To answer, drag the appropriate compute infrastructures to the correct models. Each compute infrastructure 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.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu

NEW QUESTION 5

You plan to deploy an Al solution that tracks the behavior of 10 custom mobile apps. Each mobile app has several thousand users. You need to recommend a solution for real-time data ingestion for the data originating from the mobile app users. Which Microsoft Azure service should you include in the recommendation?

• A. Azure Event Hubs
• B. Azure Service Bus queues
• C. Azure Service Bus topics and subscriptions
• D. Apache Storm on Azure HDInsight

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-in/azure/event-hubs/event-hubs-about

NEW QUESTION 6

Your company has an Azure subscription that contains an Azure Active Directory (Azure AD) tenant. Azure AD contains 500 user accounts for your company's employees. Some temporary employees do NOT
have user accounts in Azure AD
You are designing a storage solution for video files and metadata files. You plan to deploy an application to perform analysis of the metadata files.
You need to recommend an authentication solution to provide links to the video files. The solution must provide access to each file for only five minutes.
What should you include in the in the recommendation?

• A. Secondary Storage Key
• B. Primary Storage Key
• C. Shared Access Signature
• D. Azure Active Directory

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-dotnet-shared-access-signature-part-1

NEW QUESTION 7

Your company has recently purchased and deployed 25,000 IoT devices.
You need to recommend a data analysis solution for the devices that meets the following requirements:
Each device must use its own credentials for identity.
Each device must be able to route data to multiple endpoints.
The solution must require the minimum amount of customized code. What should you include in the recommendation?

• A. Microsoft Azure Notification Hubs
• B. Microsoft Azure Event Hubs
• C. Microsoft Azure IoT Hub
• D. Microsoft Azure Service Bus

Answer: C

Explanation:
An IoT hub has a default built-in endpoint. You can create custom endpoints to route messages to by linking other services in your subscription to the hub.
Individual devices connect using credentials stored in the IoT hub's identity registry. References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-security

NEW QUESTION 8

A data scientist deploys a deep learning model on an Fsv2 virtual machine. Data analysis is slow.
You need to recommend which virtual machine series the data scientist must use to ensure that data analysis occurs as quickly as possible.
Which series should you recommend?

• A. ND
• B. B
• C. DC
• D. Ev3

Answer: A

Explanation:
The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote
visualisation, deep learning and predictive analytics.
The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPUs. The latest version - NDv2 - features the NVIDIA Tesla V100 GPUs.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

NEW QUESTION 9

You develop a custom application that uses a token to connect to Azure Cognitive Services resources. A new security policy requires that all access keys are changed every 30 days.
You need to recommend a solution to implement the security policy.
Which three actions should you recommend be performed every 30 days? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
Step 1: Generate new keys in the Cognitive Service resources

Step 2: Retrieve a token from the Cognitive Services endpoint Step 3: Update the custom application to use the new authorization
Each request to an Azure Cognitive Service must include an authentication header. This header passes along a subscription key or access token, which is used to validate your subscription for a service or group of services.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/authentication

NEW QUESTION 10

You are designing an AI solution that will analyze millions of pictures.
You need to recommend a solution for storing the pictures. The solution must minimize costs. Which storage solution should you recommend?

• A. an Azure Data Lake store
• B. Azure File Storage
• C. Azure Blob storage
• D. Azure Table storage

Answer: C

Explanation:
Data Lake will be a bit more expensive although they are in close range of each other. Blob storage has more options for pricing depending upon things like how frequently you need to access your data (cold vs hot storage).
References:
http://blog.pragmaticworks.com/azure-data-lake-vs-azure-blob-storage-in-data-warehousing

NEW QUESTION 11

You are designing a solution that will ingest temperature data from loT devices, calculate the average temperature, and then take action based on the aggregated data. The solution must meet the following requirements:
•Minimize the amount of uploaded data.
• Take action based on the aggregated data as quickly as possible.
What should you include in the solution? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
Box 1: Azure Functions
Azure Function is a (serverless) service to host functions (little piece of code) that can be used for e. g. event driven applications.
General rule is always difficult since everything depends on your requirement but if you have to analyze a data stream, you should take a look at Azure Stream Analytics and if you want to implement something like a serverless event driven or timer-based application, you should check Azure Function or Logic Apps.
Note: Azure IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high value AI without writing it in-house. Azure services like Azure Functions, Azure Stream Analytics, and Azure Machine Learning can all be run on-premises via Azure IoT Edge.
Box 2: An Azure IoT Edge device
Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on business insights instead of data management.
References:
https://docs.microsoft.com/en-us/azure/iot-edge/about-iot-edge

NEW QUESTION 12

You are designing a solution that will analyze bank transactions in real time. The transactions will be evaluated by using an algorithm and classified into one of five groups. The transaction data will be enriched with information taken from Azure SQL Database before the transactions are sent to the classification process. The enrichment process will require custom code. Data from different banks will require different stored procedures.
You need to develop a pipeline for the solution.
Which components should you use for data ingestion and data preparation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/example-scenario/data/fraud-detection

NEW QUESTION 13

Your company plans to implement an Al solution that will analyse data from loT devices.
Data from the devices will be analysed in real time. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language. Which data processing solution should you recommend?

• A. Azure Stream Analytics
• B. SQL Server Integration Services (SSIS)
• C. Azure Event Hubs
• D. Azure Machine Learning

Answer: A

Explanation:
References:
https://www.linkedin.com/pulse/getting-started-azure-iot-services-stream-analytics-rob-tiffany

NEW QUESTION 14

You need to build and deploy a real-time media bot for Microsoft Skype on an Azure virtual machine. The bot will use the Azure Bot Service. The solution must minimize custom code.
Which environment and language should you use to develop the bot? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/microsoftteams/platform/concepts/calls-and-meetings/requirements-considerati

NEW QUESTION 15

You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements: Alert teachers if a student seems angry or distracted.
Identify each student in the classrooms for attendance purposes.
Allow the teachers to log the text of conversations between themselves and the students. Which Cognitive Services should you recommend?

• A. Computer Vision, Text Analytics, and Face API
• B. Video Indexer, Face API, and Text Analytics
• C. Computer Vision, Speech to Text, and Text Analytics
• D. Text Analytics, QnA Maker, and Computer Vision
• E. Video Indexer, Speech to Text, and Face API

Answer: E

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.
Face API enables you to search, identify, and match faces in your private repository of up to 1 million people. The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to-speech.

NEW QUESTION 16

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, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have Azure IoT Edge devices that generate streaming data.
On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.
Solution: You deploy Azure Stream Analytics as an IoT Edge module. Does this meet the goal?

• A. Yes
• B. No

Answer: A

Explanation:
Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies: temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection

NEW QUESTION 17

You are designing an AI solution that will use IoT devices to gather data from conference attendees, and then later analyze the data. The IoT devices will connect to an Azure IoT hub.
You need to design a solution to anonymize the data before the data is sent to the IoT hub.
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.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
Step 1: Create a storage container
ASA Edge jobs run in containers deployed to Azure IoT Edge devices. Step 2: Create an Azure Stream Analytics Edge Job
Azure Stream Analytics (ASA) on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
Scenario overview:

Step 3: Add the job to the IoT devices in IoT References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-edge

NEW QUESTION 18

You are designing an AI solution in Azure that will perform image classification.
You need to identify which processing platform will provide you with the ability to update the logic over time. The solution must have the lowest latency for inferencing without having to batch.
Which compute target should you identify?

• A. graphics processing units (GPUs)
• B. field-programmable gate arrays (FPGAs)
• C. central processing units (CPUs)
• D. application-specific integrated circuits (ASICs)

Answer: B

Explanation:
FPGAs, such as those available on Azure, provide performance close to ASICs. They are also flexible and reconfigurable over time, to implement new logic.

NEW QUESTION 19

You are developing a mobile application that will perform optical character recognition (OCR) from photos. The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.
What should you use to process the data?

• A. Azure Event Hubs
• B. Azure Functions
• C. Azure Stream Analytics
• D. Azure Logic Apps

Answer: A

NEW QUESTION 20

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 21

You need to integrate the new Bookings app and the Butler chatbot.
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.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-channel-connect-webchat?view=azure-bot-servic

NEW QUESTION 22

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 23
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