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NEW QUESTION: 1
金融システムを監査するための統制に依存するアプローチを決定するのを助けるために、どのIS監査作業のシーケンスが最も適切であるかを会社が使用されるべきであるかどうか
A. 金融取引の詳細な調査と、それに続く総勘定元帳のレビュー
B. 一般的なISコントロールのレビューと、それに続くアプリケーションコントロールのレビュー
C. アプリケーション制御のレビューとそれに続く主要なビジネスプロセス制御のテスト
D. 主要な財務アプリケーションのレビューとそれに続くITガバナンスプロセスのレビュー
Answer: C

NEW QUESTION: 2
You plan to deploy an Azure Data Factory pipeline that will perform the following:
* Move data from on-premises to the cloud.
* Consume Azure Cognitive Services APIs.
You need to recommend which technologies the pipeline should use. The solution must minimize custom code.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Self-hosted Integration Runtime
A self-hosted IR is capable of running copy activity between a cloud data stores and a data store in private network.
Not Azure-SSIS Integration Runtime, as you would need to write custom code.
Box 2: Azure Logic Apps
Azure Logic Apps helps you orchestrate and integrate different services by providing 100+ ready-to-use connectors, ranging from on-premises SQL Server or SAP to Microsoft Cognitive Services.
Incorrect:
Not Azure API Management: Use Azure API Management as a turnkey solution for publishing APIs to external and internal customers.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime
https://docs.microsoft.com/en-us/azure/logic-apps/logic-apps-examples-and-scenarios

NEW QUESTION: 3
금융 서비스 회사는 신용 카드 서비스 파트너로부터 정기적 인 데이터 피드를 받습니다.
서버 측 암호화를 사용하여 HTTPS를 통해 Amazon S3 버킷에 직접 전달되는 일반 텍스트로 15 분마다 5,000 개의 레코드가 전송됩니다.이 피드에는 민감한 신용 카드 기본 계정 번호 (PAN) 데이터가 포함되어 있습니다. 회사는 데이터를 전송하기 전에 PAN을 자동으로 마스킹해야 합니다. 추가 내부 처리를 위한 또 다른 S3 버킷 회사는 또한 특정 필드를 제거하고 병합 한 다음 레코드를 JSON 형식으로 변환해야 합니다. 또한 향후 추가 피드가 추가 될 가능성이 있으므로 모든 디자인을 쉽게 확장 할 수 있어야 합니다. 이러한 요구 사항을 충족하는 솔루션 ?
A. 데이터 피드 형식을 기반으로 AWS Glue 크롤러 및 사용자 지정 분류자를 생성하고 일치하는 테이블 정의를 구축합니다. 파일 전송시 Amazon Athena 쿼리를 수행하여 Amazon EMR ETL 작업을 시작하여 처리에 따라 전체 레코드를 변환하고 변환 요구 사항 출력 형식을 JSON으로 정의 완료되면 내부 처리를 위해 결과를 다른 S3 버킷으로 보내고 EMR 클러스터를 축소합니다.
B. 각 레코드를 추출하여 Amazon SQS 대기열에 쓰는 파일 전송시 AWS Lambda 함수 트리거 새 메시지가 SQS 대기열에 도착하면 다른 Lambda 함수를 트리거하여 레코드를 처리하고 결과를 Amazon의 임시 위치에 기록합니다. S3 SQS 대기열이 비어 있으면 최종 Lambda 함수를 트리거하여 레코드를 JSON 형식으로 변환하고 내부 처리를 위해 다른 S3 버킷으로 결과를 보냅니다.
C. 데이터 피드 형식을 기반으로 AWS Glue 크롤러 및 사용자 지정 분류자를 생성하고 일치하는 테이블 정의를 구축합니다. 파일 전송시 AWS Lambda 함수를 트리거하여 AWS Glue ETL 작업을 시작하여 처리에 따라 전체 레코드를 변환하고 변환 요구 사항 출력 형식을 JSON으로 정의 완료되면 ETL 작업이 내부 처리를 위해 다른 S3 버킷으로 결과를 보내도록합니다.
D. 각 레코드를 추출하여 Amazon SQS 대기열에 기록하는 파일 전송시 AWS Lambda 함수 트리거 SQS 대기열에 메시지가 포함 된 경우 단일 인스턴스로 자동 확장되도록 AWS Fargate 컨테이너 애플리케이션 구성 애플리케이션이 각 레코드를 처리하고 레코드를 JSON 형식으로 변환 대기열이 비어 있으면 내부 처리를 위해 다른 S3 버킷으로 결과를 보내고 AWS Fargate 인스턴스를 축소합니다.
Answer: C

NEW QUESTION: 4

A. Option E
B. Option F
C. Option B
D. Option A
E. Option C
F. Option D
Answer: B,E,F
Explanation:
Explanation
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh D: Handling "Unable to connect on port 22" error message Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
F: Handling "Could not connect, retrying..." error
You can verify that the daemon is running by navigating to the serial console output page and looking for output lines prefixed with the accounts-from-metadata: string. If you are using a standard image but you do not see these output prefixes in the serial console output, the daemon might be stopped. Reboot the instance to restart the daemon.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
Topic 4, Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
* Databases:
* MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
* Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
* iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
* Data analysis
* Real-time trending calculations
* MQ servers:
* Messaging
* Social notifications
* Events
* Miscellaneous servers:
* Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
* Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
* Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Migrate fully to the cloud if all other requirements are met.
Technical Requirements
* Evaluate and choose an automation framework for provisioning resources in cloud.
* Support failover of the production environment to cloud during an emergency.
* Identify production services that can migrate to cloud to save capacity.
* Use managed services whenever possible.
* Encrypt data on the wire and at rest.
* Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.