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NEW QUESTION: 1
Azure App Services Webアプリがあります。 Azure SQLデータベースインスタンス。リソースグループ内のAzureストレージアカウントとAzure Redis Cacheインスタンス。
開発者は、Webアプリにコードを公開できる必要があります。開発者にWebアプリへの貢献ロールを付与する必要があります。ロールを付与する必要があります。
どの2つのコマンドを使用できますか？それぞれの正解は完全なソリューションを示します。
注：それぞれの正しい選択は1ポイントの価値があります。
A. azロール定義作成
B. New-AzureRmRoleDefinition
C. New-AzureRmRoleAssignment
D. azロール割り当て作成
Answer: C,D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/cli/azure/role/assignment?view=azure-cli-latest#az-role-assignment-create
https://docs.microsoft.com/en-us/powershell/module/azurerm.resources/new-azurermroleassignment?view=azure

NEW QUESTION: 2
An administrator using MQExplorer attempts to connect to a queue manager QM1 running on a distributed platform, and receives the error message "Command server not responding within timeout period (AMQ4032)".
The administrator can check the status of the command server by executing which command on the target system?
A. Mqcmdsrv -status QM1
B. DISPLAY SERVICE (CMDSRV) from runmqac QM1
C. Mqchecsw QM1
D. Dspmqcsv QM1
Answer: B

NEW QUESTION: 3
An online photo album app has a key design feature to support multiple screens (e.g. desktop, mobile phone, and tablet) with high quality displays. Multiple versions of the image must be saved in different resolutions and layouts.
The image processing Java program takes an average of five seconds per upload, depending on the image size and format. Each image upload captures the following image metadata: user, album, photo label, upload timestamp The app should support the following requirements:
* Hundreds of user image uploads per second
* Maximum image metadata size of 10 MB
* Maximum image metadata size of 1 KB
* Image displayed in optimized resolution in all supported screens no later than one minute after image upload Which strategy should be used to meet these requirements?
A. Write images and metadata to Amazon Kinesis, Use a Kinesis Client Library (KCL) application to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
B. Write image and metadata RDS with BLOB data type. Use AWS Data Pipeline to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
C. Upload image with metadata to Amazon S3 use Lambda function to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
D. Write image and metadata to Amazon kinesis. Use Amazon Elastic MapReduce (EMR) with Spark Streaming to run image processing and save image output to Amazon
Answer: D