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NEW QUESTION: 1
HOTSPOT
Answer:
Explanation:
NEW QUESTION: 2
A freestyle job is set up to "Enable concurrent builds if necessary" and configured to run on a single node.
How can you ensure that multiple concurrent runs share the same workspace?
A. Check "Do not lock workspace" In the Advanced Project Options of the project.
B. Define a "Custom workspace" path for the job.
C. Multiple concurrent runs can never share the same workspace.
D. Pass the argument -Dhuason.model .Run. lockworkspace=false in the Jenkins master Invocation.
Answer: B
NEW QUESTION: 3
contoso.comという名前のAzure Active Directory（Azure AD）テナントに関連付けられているSub1という名前のAzureサブスクリプションがあります。
次の表に示すリソースで構成されるアプリケーションを実装する予定です。
ユーザーは、Azure ADユーザーアカウントを使用して認証し、リソーストークンを使用してCosmos DBアカウントにアクセスします。
CosmosDB1およびWebApp1で実装されるタスクを識別する必要があります。
リソースごとにどのタスクを識別する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
CosmosDB1: Create database users and generate resource tokens.
Azure Cosmos DB resource tokens provide a safe mechanism for allowing clients to read, write, and delete specific resources in an Azure Cosmos DB account according to the granted permissions.
WebApp1: Authenticate Azure AD users and relay resource tokens
A typical approach to requesting, generating, and delivering resource tokens to a mobile application is to use a resource token broker. The following diagram shows a high-level overview of how the sample application uses a resource token broker to manage access to the document database data:
References:
https://docs.microsoft.com/en-us/xamarin/xamarin-forms/data-cloud/cosmosdb/authentication
NEW QUESTION: 4
A company's near-real-time streaming application is running on AWS As (he data is ingested a job runs on the data and takes 30 minutes to complete The workload frequently experiences high latency due to large amounts of incoming data A solutions architect needs to design a scalable and serverless solution to enhance performance Which combination of steps should the solutions architect take? (Select TWO)
A. Use AWS Database Migration Service (AWS DMS) to ingest the data
B. Use AWS Lambda with AWS Step Functions to process the data
C. Use Amazon EC2 instances in an Auto Scaling group to process the data
D. Use AWS Fargate with Amazon Elastic Container Service (Amazon ECS) to process the data.
E. Use Amazon Kinesis Data Firehose to ingest the data
Answer: C,E
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