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NEW QUESTION: 1
What are the three strategic virtualization platforms on z Systems?
A. PR/SM, z/VM, and KVM
B. KVM, PowerVM, and PR/SM
C. PR/SM, z/VM, and VMware
D. z/VM, KVM, and VMware
Answer: A
Explanation:
Reference:http://www01.ibm.com/common/ssi/ShowDoc.wss?docURL=/common/ssi/rep_ca/1/897/ENUS215261/index.html&request_locale=en
NEW QUESTION: 2
회사는 비즈니스 크리티컬 애플리케이션을 AWS로 이전하고 있습니다. Oracle 데이터베이스를 사용하는 전통적인 3 계층 웹 응용 프로그램입니다. 전송 및 저장시 데이터를 암호화해야 합니다. 데이터베이스는 12TB의 데이터를 호스팅합니다.
내부를 통해 소스 Oracle 데이터베이스에 대한 네트워크 연결이 허용되며 회사는 가능한 경우 AWS Managed Services를 사용하여 운영 비용을 절감하고자 합니다. 웹 및 응용 프로그램 계층 내의 모든 리소스가 마이그레이션 되었습니다. 데이터베이스에는 기본 키만 사용하는 몇 개의 테이블과 간단한 스키마가 있습니다. 그러나 많은 BLOB (Binary Large Object) 필드를 포함합니다. 라이센스 제한으로 인해 데이터베이스의 기본 복제 도구를 사용할 수 없습니다.
어떤 데이터베이스 마이그레이션 솔루션이 애플리케이션 가용성에 가장 큰 영향을 미칩니 까?
A. AWS DMS를 사용하여 온 프레미스 Oracle 데이터베이스와 AWS에서 호스팅되는 복제 인스턴스간에 데이터 세트를로드하고 복제하십시오. TDE (투명한 데이터 암호화)가 활성화 된 Amazon RDS for Oracle 인스턴스를 프로비저닝하고 복제 인스턴스의 대상으로 구성하십시오. 고객 관리 형 AWS KMS 마스터 키를 생성하여 복제 인스턴스의 암호화 키로 설정합니다.
AWS DMS 작업을 사용하여 데이터를 대상 RDS 인스턴스에 로드하십시오. 응용 프로그램 유지 관리 기간 동안 및 로드 작업이 진행중인 복제 단계에 도달 한 후 데이터베이스 연결을 새 데이터베이스로 전환하십시오.
B. 응용 프로그램 유지 관리 기간 동안 온-프레미스 Oracle 데이터베이스에 압축 된 전체 데이터베이스 백업을 만듭니다. 백업이 수행되는 동안 10Gbps AWS Direct Connect 연결을 프로비저닝하여 데이터베이스 백업 파일의 Amazon S3 로의 전송 속도를 높이고 유지 관리 기간을 단축하십시오. SSL / TLS를 사용하여 직접 연결 연결을 통해 파일을 복사하십시오. 백업 파일이 성공적으로 복사되면 유지 관리 기간을 시작하고 암호화가 활성화 된 상태에서 새로 프로비저닝 된 Amazon RDS for Oracle 인스턴스로 데이터를 가져 오기 위해 Amazon RDS 지원 도구를 올리십시오. 데이터가 완전히 로드 될 때까지 기다렸다가 데이터베이스 연결을 새 데이터베이스로 전환하십시오. 불필요한 비용을 줄이려면 Direct Connect 연결을 삭제하십시오.
C. Amazon RDS for Oracle 인스턴스를 프로비저닝합니다. 인터넷 액세스가 가능한 VPC (Virtual Private Cloud) 서브넷 내에서 RDS 데이터베이스를 호스팅하고 RDS 데이터베이스를 소스 데이터베이스의 암호화 된 읽기 전용 복제본으로 설정하십시오. SSL을 사용하여 두 데이터베이스 간의 연결을 암호화하십시오. RDS ReplicaLag 지표를 보고 복제 성능을 모니터링 하십시오. 응용 프로그램 유지 관리 기간 동안 온-프레미스 데이터베이스를 종료하고 더 이상 복제 지연이 없으면 RDS 인스턴스로 응용 프로그램 연결을 전환하십시오. 읽기 전용 복제본을 독립형 데이터베이스 인스턴스로 승격하십시오.
D. Amazon EC2 인스턴스를 프로비저닝하고 동일한 Oracle 데이터베이스 소프트웨어를 설치하십시오. 지원되는 도구를 사용하여 소스 데이터베이스의 백업을 작성하십시오. 애플리케이션 유지 관리 기간 동안 백업을 EC2 인스턴스에서 실행중인 Oracle 데이터베이스로 복원하십시오. Oracle 용 Amazon RDS 인스턴스를 설정하고 AWS에서 호스팅되는 데이터베이스간에 가져 오기 작업을 생성하십시오. 작업이 완료되면 소스 데이터베이스를 종료하고 RDS 인스턴스에 대한 데이터베이스 연결을 전환하십시오.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/apn/oracle-database-encryption-options-on-amazon-rds/https://docs.aws.amazon.c (DMS in transit encryption)https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Security.html
NEW QUESTION: 3
Answer:
Explanation:
Explanation
NEW QUESTION: 4
Planning Assistanceのデータ読み込みパイプラインを設計する必要があります。
何をお勧めしますか？答えるには、適切なテクノロジーを正しい場所にドラッグします。各テクノロジーは、1回、複数回、またはまったく使用されない場合があります。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
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
Box 1: SqlSink Table
Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData Box 2: Cosmos Bulk Loading Use Copy Activity in Azure Data Factory to copy data from and to Azure Cosmos DB (SQL API).
Scenario: Data from the Sensor Data collection will automatically be loaded into the Planning Assistance database once a week by using Azure Data Factory. You must be able to manually trigger the data load process.
Data used for Planning Assistance must be stored in a sharded Azure SQL Database.
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db
Topic 2, Case study 1The company identifies the following business
requirements:
* External vendors must be able to perform custom analysis of data using machine learning technologies.
* You must display a dashboard on the operations status page that displays the following metrics: telemetry, volume, and processing latency.
* Traffic data must be made available to the Government Planning Department for the purpose of modeling changes to the highway system. The traffic data will be used in conjunction with other data such as information about events such as sporting events, weather conditions, and population statistics. External data used during the modeling is stored in on-premises SQL Server 2016 databases and CSV files stored in an Azure Data Lake Storage Gen2 storage account.
* Information about vehicles that have been detected as going over the speed limit during the last 30 minutes must be available to law enforcement officers. Several law enforcement organizations may respond to speeding vehicles.
* The solution must allow for searches of vehicle images by license plate to support law enforcement investigations. Searches must be able to be performed using a query language and must support fuzzy searches to compensate for license plate detection errors.
Telemetry Capture
The telemetry capture system records each time a vehicle passes in front of a sensor. The sensors run on a custom embedded operating system and record the following telemetry data:
* Time
* Location in latitude and longitude
* Speed in kilometers per hour (kmph)
* Length of vehicle in meters
Visual Monitoring
The visual monitoring system is a network of approximately 1,000 cameras placed near highways that capture images of vehicle traffic every 2 seconds. The cameras record high resolution images. Each image is approximately 3 MB in size.
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the button to return to the question.
Overview
You develop data engineering solutions for Graphics Design Institute, a global media company with offices in New York City, Manchester, Singapore, and Melbourne.
The New York office hosts SQL Server databases that stores massive amounts of customer data. The company also stores millions of images on a physical server located in the New York office. More than 2 TB of image data is added each day. The images are transferred from customer devices to the server in New York.
Many images have been placed on this server in an unorganized manner, making it difficult for editors to search images. Images should automatically have object and color tags generated. The tags must be stored in a document database, and be queried by SQL You are hired to design a solution that can store, transform, and visualize customer data.
Requirements
Business
The company identifies the following business requirements:
* You must transfer all images and customer data to cloud storage and remove on-premises servers.
* You must develop an analytical processing solution for transforming customer data.
* You must develop an image object and color tagging solution.
* Capital expenditures must be minimized.
* Cloud resource costs must be minimized.
Technical
The solution has the following technical requirements:
* Tagging data must be uploaded to the cloud from the New York office location.
* Tagging data must be replicated to regions that are geographically close to company office locations.
* Image data must be stored in a single data store at minimum cost.
* Customer data must be analyzed using managed Spark clusters.
* Power BI must be used to visualize transformed customer data.
* All data must be backed up in case disaster recovery is required.
Security and optimization
All cloud data must be encrypted at rest and in transit. The solution must support:
* parallel processing of customer data
* hyper-scale storage of images
* global region data replication of processed image data