The Secret Of Microsoft AI-100 Brain Dumps

NEW QUESTION 1

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 2

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 3

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 are deploying an Azure Machine Learning model to an Azure Kubernetes Service (AKS) container. You need to monitor the accuracy of each run of the model.
Solution: You modify the scoring file. Does this meet the goal?

• A. Yes
• B. No

Answer: B

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.

• 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 5

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-2021

NEW QUESTION 6

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 7

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 create several AI 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 write a custom scoring script.
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 8

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 9

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 10

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 11

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 are developing an application that uses an Azure Kubernetes Service (AKS) cluster. You are troubleshooting a node issue.
You need to connect to an AKS node by using SSH.
Solution: You create a managed identity for AKS, and then you create an SSH connection. Does this meet the goal?

• A. Yes
• B. No

Answer: B

Explanation:
Instead add an SSH key to the node, and then you create an SSH connection. References:
https://docs.microsoft.com/en-us/azure/aks/ssh

NEW QUESTION 12

You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
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: Export Data
The Export data to Hive option in the Export Data module in Azure Machine Learning Studio. This option is useful when you are working with very large datasets, and want to save your machine learning experiment data to a Hadoop cluster or HDInsight distributed storage.
Box 2: Apache Hive
Apache Hive is a data warehouse system for Apache Hadoop. Hive enables data summarization, querying, and analysis of data. Hive queries are written in HiveQL, which is a query language similar to SQL.
Box 3: Azure Data Lake
Default storage for the HDFS file system of HDInsight clusters can be associated with either an Azure Storage account or an Azure Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/export-to-hive-query https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/hdinsight-use-hive

NEW QUESTION 13

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.

• A. Mastered
• B. Not Mastered

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 14

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 15

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 16

You are developing a Computer Vision application.
You plan to use a workflow that will load data from an on-premises database to Azure Blob storage, and then connect to an Azure Machine Learning service.
What should you use to orchestrate the workflow?

• A. Azure Kubernetes Service (AKS)
• B. Azure Pipelines
• C. Azure Data Factory
• D. Azure Container Instances

Answer: C

Explanation:
With Azure Data Factory you can use workflows to orchestrate data integration and data transformation processes at scale.
Build data integration, and easily transform and integrate big data processing and machine learning with the
visual interface. References:
https://azure.microsoft.com/en-us/services/data-factory/

NEW QUESTION 17

You are designing an Al application that will use an Azure Machine Learning Studio experiment. The source data contains more than 200 TB of relational tables. The experiment will run once a month. You need to identify a data storage solution for the application. The solution must minimize compute costs. Which data storage solution should you identify?

• A. Azure Database for MySQL
• B. Azure SQL Database
• C. Azure SQL Data Warehouse

Answer: B

Explanation:
References:
https://azure.microsoft.com/en-us/pricing/details/sql-database/single/

NEW QUESTION 18

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 enable Model data collection.
Does this meet the goal?

• A. Yes
• B. No

Answer: A

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 19

You have an Azure Machine Learning experiment that must comply with GDPR regulations. You need to track compliance of the experiment and store documentation about the experiment. What should you use?

• A. Azure Table storage
• B. Azure Security Center
• C. an Azure Log Analytics workspace
• D. Compliance Manager

Answer: D

Explanation:
References:
https://azure.microsoft.com/en-us/blog/new-capabilities-to-enable-robust-gdpr-compliance/

NEW QUESTION 20

You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub. The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.

• A. Azure Event Hubs
• B. Azure SQL Database
• C. Azure Blob storage
• D. Azure Cosmos DB

Answer: D

Explanation:
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output

NEW QUESTION 21

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 expose a Machine Learning model as an Azure web service.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

Explanation:
Instead use Azure Stream Analytics and REST API.
Note. 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 22

You need to configure versioning and logging for Azure Machine Learning models. Which Machine Learning service application should you use?

• A. models
• B. activities
• C. experiments
• D. pipelines
• E. deployments

Answer: E

Explanation:
References:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-enable-logging#logging-for-deployed-

NEW QUESTION 23

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 24

You create an Azure Machine Learning Studio experiment.
You plan to publish the experiment as a Machine Learning Web service.
You need to ensure that you can consume the web service from Microsoft Excel spreadsheets. What should you use?

• A. a Batch Execution Service (BES) and an Azure managed identity
• B. a Request-Response Service (RRS) and an Azure managed identity
• C. a Request-Response Service (RRS) and an API key
• D. a Batch Execution Service (BES) and an API key

Answer: C

Explanation:
Steps to Add a New web service
1. Deploy a web service or use an existing Web service.
2. Click Consume.
3. Look for the Basic consumption info section. Copy and save the Primary Key and the Request-Response URL.
4. In Excel, go to the Web Services section (if you are in the Predict section, click the back arrow to go to the list of web services).
5. Click Add Web Service.
6. Paste the URL into the Excel add-in text box labeled URL.
7. Paste the API/Primary key into the text box labeled API key.
8. Click Add.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/excel-add-in-for-web-services

NEW QUESTION 25

You use an Azure key vault to store credentials for several Azure Machine Learning applications. You need to configure the key vault to meet the following requirements:
Ensure that the IT security team can add new passwords and periodically change the passwords.
Ensure that the applications can securely retrieve the passwords for the applications.
Use the principle of least privilege.
Which permissions should you grant? To answer, drag the appropriate permissions to the correct targets. Each permission 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:

NEW QUESTION 26
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