AI-100 無料問題集「Microsoft Designing and Implementing an Azure AI Solution」
Your company uses several dots The bots use Azure Bot Service.
Several users report that some of the bots fail to return the expected results.
You plan to view the service health of the hot service.
You need 10 request the appropriate role to access the service health of the bot service. The solution must use the principle of least privilege.
Which role should you request?
Several users report that some of the bots fail to return the expected results.
You plan to view the service health of the hot service.
You need 10 request the appropriate role to access the service health of the bot service. The solution must use the principle of least privilege.
Which role should you request?
正解：A
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解説: (JPNTest メンバーにのみ表示されます)
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.
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.
正解：A、B、C
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解説: (JPNTest メンバーにのみ表示されます)
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation
Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started
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.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation
Workspace
Owner
References:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles
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.
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.
正解：
Explanation
1. Create ACI 2. pull image 3. run AI solution 4. delete ACI
You need to build an A) solution that will be shared between several developers and customers.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
正解：
Explanation
Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook
* Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook.
Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook's primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook
You deploy an Azure bot.
You need to collect Key Performance Indicator (KPI) data from the bot. The type of data includes:
* The number of users interacting with the bot
* The number of messages interacting with the bot
* The number of messages on different channels received by the bot
* The number of users and messages continuously interacting with the bot What should you configure?
You need to collect Key Performance Indicator (KPI) data from the bot. The type of data includes:
* The number of users interacting with the bot
* The number of messages interacting with the bot
* The number of messages on different channels received by the bot
* The number of users and messages continuously interacting with the bot What should you configure?
正解：B
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You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
正解：
Explanation
Box 1: train
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15.
Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce