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NEW QUESTION: 1
한 회사에 퍼블릭 IP가있는 여러 Amazon EC2 인스턴스에 컨테이너화 되고 배포 된 애플리케이션 서비스가 있습니다. Apache Kafka 클러스터가 EC2 인스턴스에 배포되었습니다. PostgreSQL 데이터베이스가 PostgreSQL 용 Amazon RDS로 마이그레이션 되었습니다. 이 회사는 주력 제품의 새 버전이 출시되면 플랫폼에서 주문이 크게 증가 할 것으로 예상합니다.
현재 아키텍처의 어떤 변경 사항이 운영 오버 헤드를 줄이고 제품 릴리스를 지원합니까?
A. Application Load Balancer 뒤의 EC2 인스턴스에서 생성 된 Kubernetes 클러스터에 애플리케이션을 배포합니다. 다중 AZ 모드에서 DB 인스턴스를 배포하고 스토리지 Auto Scaling을 활성화합니다. Amazon Managed Streaming for Apache Kafka 클러스터를 생성하고 클러스터를 사용하도록 애플리케이션 서비스를 구성합니다. Amazon CloudFront 배포 뒤의 Amazon S3에 정적 콘텐츠를 저장합니다.
B. Application Load Balancer 뒤에 EC2 Auto Scaling 그룹을 생성합니다. 다중 AZ 모드에서 DB 인스턴스를 배포하고 스토리지 Auto Scaling을 활성화합니다. Amazon Kinesis 데이터 스트림을 생성하고 데이터 스트림을 사용하도록 애플리케이션 서비스를 구성합니다. Amazon S3에서 직접 정적 콘텐츠를 저장하고 제공합니다.
C. AWS Fargate를 사용하여 Amazon Elastic Kubernetes Service (Amazon EKS)에 애플리케이션을 배포하고 Application Load Balancer 뒤에서 자동 확장을 활성화합니다. DB 인스턴스에 대한 추가 읽기 전용 복제본을 생성합니다. Amazon Managed Streaming for Apache Kafka 클러스터를 생성하고 클러스터를 사용하도록 애플리케이션 서비스를 구성합니다. Amazon CloudFront 배포 뒤의 Amazon S3에 정적 콘텐츠를 저장합니다.
D. Application Load Balancer 뒤에 EC2 Auto Scaling 그룹을 생성합니다. DB 인스턴스에 대한 추가 읽기 전용 복제본을 생성합니다. Amazon Kinesis 데이터 스트림을 생성하고 데이터 스트림을 사용하도록 애플리케이션 서비스를 구성합니다. Amazon S3에서 직접 정적 콘텐츠를 저장하고 제공합니다.
Answer: D
NEW QUESTION: 2
Which two options are applications that support service categories in Cisco Unified Communications Manager? (Choose two)
A. WAV.
B. CSV.
C. XML.
D. Java MIDlet.
Answer: C,D
Explanation:
Explanation/Reference:
Page 733
Cisco Unified Communications Manager Administration Guide, Release 10.0(1)
NEW QUESTION: 3
展示に示すように、Lambdaアーキテクチャに基づくデザインパターンを計画しています。
ホットパスに使用するAzureサービスはどれですか？
A. Azure Synapse Analytics
B. Azure Cosmos DB
C. Azure SQL Database
D. Azure Data Catalog
Answer: B
Explanation:
Explanation
In Azure, all of the following data stores will meet the core requirements supporting real-time processing:
* Apache Spark in Azure Databricks
* Azure Stream Analytics
* HDInsight with Spark Streaming
* HDInsight with Storm
* Azure Functions
* Azure App Service WebJobs
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.
Reference:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture
NEW QUESTION: 4
スイッチに入るフレームは、フレームチェックシーケンスに失敗します。どの2つのインターフェイスカウンターが増加しますか？ （2つ選択してください）
A. runts
B. frame
C. input errors
D. CRC
E. giants
Answer: C,D
Explanation:
Whenever the physical transmission has problems, the receiving device might receive a frame whose bits have changed values. These frames do not pass the error detection logic as implemented in the FCS field in the Ethernet trailer.
The receiving device discards the frame and counts it as some kind of input error. Cisco switches list this error as a CRC error. Cyclic redundancy check (CRC) is a term related to how the FCS math detects an error.
The "input errors" includes runts, giants, no buffer, CRC, frame, overrun, and ignored counts.
The output below show the interface counters with the "show interface s0/0/0" command:
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