Renew Designing And Implementing An Azure AI Solution AI-100 Pdf Exam

NEW QUESTION 1

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 2

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 3

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.

• A. Mastered
• B. Not Mastered

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 4

You have Azure loT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure loT hub. You need to ensure that every event is processed as quickly as possible. What should you use?

• A. Apache Kafka
• B. Azure Stream Analytics record functions
• C. Azure Stream Analytics windowing functions
• D. Azure Machine Learning on the loT Edge devices

Answer: A

Explanation:
References:
https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-connector-iot-hub

NEW QUESTION 5

You have several AI applications that use an Azure Kubernetes Service (AKS) cluster. The cluster supports a maximum of 32 nodes.
You discover that occasionally and unpredictably, the application requires more than 32 nodes. You need to recommend a solution to handle the unpredictable application load.
Which scaling method should you recommend?

• A. horizontal pod autoscaler
• B. cluster autoscaler
• C. manual scaling
• D. Azure Container Instances

Answer: B

Explanation:
To keep up with application demands in Azure Kubernetes Service (AKS), you may need to adjust the number of nodes that run your workloads. The cluster autoscaler component can watch for pods in your cluster that can't be scheduled because of resource constraints. When issues are detected, the number of nodes is increased to meet the application demand. Nodes are also regularly checked for a lack of running pods, with the number of nodes then decreased as needed. This ability to automatically scale up or down the number of nodes in your AKS cluster lets you run an efficient, cost-effective cluster.
References:
https://docs.microsoft.com/en-us/azure/aks/cluster-autoscaler

NEW QUESTION 6

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.

• A. Mastered
• B. Not Mastered

Answer: A

Explanation:

NEW QUESTION 7

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 8

You have an Azure Machine Learning model that is deployed to a web service. You plan to publish the web service by using the name ml.contoso.com.
You need to recommend a solution to ensure that access to the web service is encrypted. Which three actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A. Generate a shared access signature (SAS)
• B. Obtain an SSL certificate
• C. Add a deployment slot
• D. Update the web service
• E. Update DNS
• F. Create an Azure Key Vault

Answer: BDE

Explanation:
The process of securing a new web service or an existing one is as follows:
1. Get a domain name.
2. Get a digital certificate.
3. Deploy or update the web service with the SSL setting enabled.
4. Update your DNS to point to the web service.
Note: To deploy (or re-deploy) the service with SSL enabled, set the ssl_enabled parameter to True, wherever applicable. Set the ssl_certificate parameter to the value of the certificate file and the ssl_key to the value of
the key file. References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-secure-web-service

NEW QUESTION 9

Which two services should be implemented so that Butler can find available rooms based on the technical requirements? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. QnA Maker
• B. Bing Entity Search
• C. Language Understanding (LUIS)
• D. Azure Search
• E. Content Moderator

Answer: AC

Explanation:
References:
https://azure.microsoft.com/en-in/services/cognitive-services/language-understanding-intelligent-service/

NEW QUESTION 10

You have a database that contains sales data.
You plan to process the sales data by using two data streams named Stream1 and Stream2. Stream1 will be used for purchase order data. Stream2 will be used for reference data.
The reference data is stored in CSV files.
You need to recommend an ingestion solution for each data stream.
What two solutions should you recommend? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.

• A. an Azure event hub for Stream1 and Azure Blob storage for Stream2
• B. Azure Blob storage for Stream1 and Stream2
• C. an Azure event hub for Stream1 and Stream2
• D. Azure Blob storage for Stream1 and Azure Cosmos DB for Stream2
• E. Azure Cosmos DB for Stream1 and an Azure event hub for Stream2

Answer: AB

Explanation:
Stream1 - Azure Event Stream2 - Blob Storage
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service, capable of
receiving and processing millions of events per second. Event Hubs can process and store events, data, or telemetry produced by distributed software and devices. Data sent to an event hub can be transformed and stored using any real-time analytics provider or batching/storage adapters. Event Hubs provides publishsubscribe capabilities with low latency at massive scale, which makes it appropriate for big data scenarios.
Stream1, Stream2 - Blob Storage
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources: Azure Event Hubs
Azure IoT Hub Azure Blob storage
These input resources can live in the same Azure subscription as your Stream Analytics job or a different subscription.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/real-time-ingestion

NEW QUESTION 11

You are designing an AI solution that will analyze media data. The data will be stored in Azure Blob storage. You need to ensure that the storage account is encrypted by using a key generated by the hardware security module (HSM) of your company.
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:
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-encryption-keys-portal https://docs.microsoft.com/en-us/azure/key-vault/key-vault-hsm-protected-keys

NEW QUESTION 12

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 13

You plan to deploy two AI applications named AI1 and AI2. The data for the applications will be stored in a relational database.
You need to ensure that the users of AI1 and AI2 can see only data in each user’s respective geographic
region. The solution must be enforced at the database level by using row-level security. Which database solution should you use to store the application data?

• A. Microsoft SQL Server on a Microsoft Azure virtual machine
• B. Microsoft Azure Database for MySQL
• C. Microsoft Azure Data Lake Store
• D. Microsoft Azure Cosmos DB

Answer: A

Explanation:
Row-level security is supported by SQL Server, Azure SQL Database, and Azure SQL Data Warehouse. References:
https://docs.microsoft.com/en-us/sql/relational-databases/security/row-level-security?view=sql-server-2021

NEW QUESTION 14

Your company has a data team of Scala and R experts.
You plan to ingest data from multiple Apache Kafka streams.
You need to recommend a processing technology to broker messages at scale from the Kafka streams to Azure Storage.
What should you recommend?

• A. Azure Databricks
• B. Azure Functions
• C. Azure HDInsight with Apache Storm
• D. Azure HDInsight with Microsoft Machine Learning Server

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-streaming-at-scale-overview?toc=https%3A%2F%2

NEW QUESTION 15

You create an Azure Cognitive Services resource.
A data scientist needs to call the resource from Azure Logic Apps.
Which two values should you provide to the data scientist? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

• A. endpoint URL
• B. resource name
• C. access key
• D. resource group name
• E. subscription ID

Answer: DE

Explanation:
References:
https://social.technet.microsoft.com/wiki/contents/articles/36074.logic-apps-with-azure-cognitive-service.aspx

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

Your company has a data team of Transact-SQL experts.
You plan to ingest data from multiple sources into Azure Event Hubs.
You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team’s existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.

• A. Azure Notification Hubs
• B. Azure Event Grid
• C. Apache Kafka streams
• D. Azure Stream Analytics

Answer: B

Explanation:
Event Hubs Capture is the easiest way to automatically deliver streamed data in Event Hubs to an Azure Blob storage or Azure Data Lake store. You can subsequently process and deliver the data to any other storage destinations of your choice, such as SQL Data Warehouse or Cosmos DB.
You to capture data from your event hub into a SQL data warehouse by using an Azure function triggered by an event grid.
Example:

First, you create an event hub with the Capture feature enabled and set an Azure blob storage as the destination. Data generated by WindTurbineGenerator is streamed into the event hub and is automatically captured into Azure Storage as Avro files.
Next, you create an Azure Event Grid subscription with the Event Hubs namespace as its source and the Azure Function endpoint as its destination.
Whenever a new Avro file is delivered to the Azure Storage blob by the Event Hubs Capture feature, Event Grid notifies the Azure Function with the blob URI. The Function then migrates data from the blob to a SQL data warehouse.
References:
https://docs.microsoft.com/en-us/azure/event-hubs/store-captured-data-data-warehouse

NEW QUESTION 18

You are designing an Al application that will perform real-time processing by using Microsoft Azure Stream Analytics.
You need to identify the valid outputs of a Stream Analytics job.
What are three possible outputs? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

• A. a Hive table in Azure HDInsight
• B. Azure SQL Database
• C. Azure Cosmos DB
• D. Azure Blob storage
• E. Azure Redis Cache

Answer: BCD

Explanation:
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

NEW QUESTION 19

You have Azure IoT Edge devices that generate measurement data from temperature sensors. The data changes very slowly.
You need to analyze the data in a temporal two-minute window. If the temperature rises five degrees above a limit, an alert must be raised. The solution must minimize the development of custom code.
What should you use?

• A. A Machine Learning model as a web service
• B. an Azure Machine Learning model as an IoT Edge module
• C. Azure Stream Analytics as an IoT Edge module
• D. Azure Functions as an IoT Edge module

Answer: C

Explanation:
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics

NEW QUESTION 20

Your company plans to deploy an AI solution that processes IoT data in real-time.
You need to recommend a solution for the planned deployment that meets the following requirements: Sustain up to 50 Mbps of events without throttling.
Retain data for 60 days.
What should you recommend?

• A. Apache Kafka
• B. Microsoft Azure IoT Hub
• C. Microsoft Azure Data Factory
• D. Microsoft Azure Machine Learning

Answer: A

Explanation:
Apache Kafka is an open-source distributed streaming platform that can be used to build real-time streaming data pipelines and applications.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-introduction

NEW QUESTION 21

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 22

You deploy an infrastructure for a big data workload.
You need to run Azure HDInsight and Microsoft Machine Learning Server. You plan to set the RevoScaleR compute contexts to run rx function calls in parallel.
What are three compute contexts that you can use for Machine Learning Server? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. SQL
• B. Spark
• C. local parallel
• D. HBase
• E. local sequential

Answer: ABC

Explanation:
Remote computing is available for specific data sources on selected platforms. The following tables document the supported combinations.
RxInSqlServer, sqlserver: Remote compute context. Target server is a single database node (SQL Server 2021 R Services or SQL Server 2021 Machine Learning Services). Computation is parallel, but not distributed.
RxSpark, spark: Remote compute context. Target is a Spark cluster on Hadoop.
RxLocalParallel, localpar: Compute context is often used to enable controlled, distributed computations relying on instructions you provide rather than a built-in scheduler on Hadoop. You can use compute context for manual distributed computing.
References:
https://docs.microsoft.com/en-us/machine-learning-server/r/concept-what-is-compute-context

NEW QUESTION 23

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 24

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 25
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