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NEW QUESTION: 1
Azure Functionsを使用してAzure Blob Storageにアップロードされたデータを処理するリアルタイムストリームソリューションを設計する必要があります。
ソリューションは次の要件を満たしている必要があります。
*最大100万個のBLOBをサポート。
*スケーリングは自動的に行われる必要があります。
*コストを最小限に抑える必要があります。
何をお勧めしますか?
A. Azure関数をApp Serviceプランにデプロイし、Blobトリガーを使用します。
B. 消費計画でAzure関数を展開し、Blobトリガーを使用します。
C. 消費計画にAzure関数をデプロイし、イベントグリッドトリガーを使用します。
D. AzureサービスをApp Serviceプランにデプロイし、イベントグリッドトリガーを使用します。
Answer: B
Explanation:
Create a function, with the help of a blob trigger template, which is triggered when files are uploaded to or updated in Azure Blob storage.
You use a consumption plan, which is a hosting plan that defines how resources are allocated to your function app. In the default Consumption Plan, resources are added dynamically as required by your functions. In this serverless hosting, you only pay for the time your functions run. When you run in an App Service plan, you must manage the scaling of your function app.
References:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-blob-triggered-function
NEW QUESTION: 2
A solutions architect is designing the cloud architecture for a new application being deployed on AWS The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed The processor application is stateless The solutions architect must ensure that the application is loosely coupled and the job items are durably stored Which design should the solutions architect use?
A. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage
B. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage
C. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic.
D. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue
Answer: C
NEW QUESTION: 3
In the Alpha Acquisitions database, the country for a customer is stored in a separate table and referenced with a code. To speed up access to information in the data warehouse, this lookup should be eliminated.
Use the lookup_ext function to exchange the ID for the country name in the customers table for Alpha with the actual value from the country table.
How to Execute the Alpha_NACustomer_Job with the default execution properties after saving all objects you have created.
A. To use the default execution properties, choose OK.
B. In the Mapping tab, choose Functions.
C. Right click the target table and choose View Data.
D. To return to the job workspace, on the toolbar, choose the Back icon.
E. To open the data flow workspace, double click the data flow.
Answer: A,C,D,E
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