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NEW QUESTION: 1
複数のプライベートデータセンターからAWSへの企業の複数年のデータセンター移行時には、ハイブリッドネットワークアーキテクチャを使用する必要があります。現在のデータセンターは、プライベートファイバーでリンクされています。独自のレガシーアプリケーションのため、NATは使用できません。移行期間中、多くのアプリケーションはデータセンターとAWSの両方で他のアプリケーションにアクセスする必要があります。
安全で可用性の高いハイブリッドネットワークアーキテクチャを提供し、高帯域幅と移行後のマルチリージョン展開を可能にするオプションはどれですか？
A. オンプレミスのデータセンターからAWSへの複数のハードウェアVPN接続を使用します。異なるVPN接続を介して異なるサブネットトラフィックをルーティングします。 VPC CIDRブロックが互いにまたはオンプレミスネットワークと重複していないことを確認します。
B. 異なるISPからの各データセンターへのAWS Direct Connectを使用し、1つが失敗した場合、他のデータセンターのDirect Connectにフェイルオーバーするルーティングを設定します。 VPC CIDRブロックが互いにまたはオンプレミスネットワークと重複していないことを確認します。
C. AWS Direct ConnectとVPNをバックアップとして使用し、同じ仮想プライベートゲートウェイとBGPを使用するように両方を構成します。 VPC CIDRブロックが互いにまたはオンプレミスネットワークと重複していないことを確認します。
D. AWSとオンプレミスデータセンターの両方でクラスタリングを使用したソフトウェアVPNを使用し、クラスターを介してトラフィックをルーティングします。 VPC CIDRブロックが互いにまたはオンプレミスネットワークと重複していないことを確認します。
Answer: C
NEW QUESTION: 2
You are designing a solution that will aggregate and analyze data from Internet of Things (IoT) devices.
The solution must meet the following requirements:
* Store petabytes of data
* Use shared access policies to provide service connections to the IoT event source.
* Conduct analysis of data in near real-time.
* Provide ultra-low latency and highly scalable transaction processing.
You need to recommend a technology.
What should you recommend?
A. Azure Table storage
B. Azure Data Lake Store
C. Azure Time Series Insights
D. Azure Redis Cache
Answer: B
Explanation:
References:
https://azure.microsoft.com/en-us/services/data-lake-store/
Topic 2, Trey Research (NEW)
Background
You are an architect for Trey Research Inc., a software as a service (SaaS) company. The company is developing a new product named Tailspin for consumer and small business financial monitoring. The product will be offered as an API to banks and financial instructions. Banks and financial institutions will integrate Tailspin into their own online banking offerings.
All employees of Trey Research are members of an Active Directory Domain Services (AD DS) group named TREY.
Technical Requirement
Architecture
All application and customer data will be stored in Azure SQL Database instances.
API calls that modify data will be implemented as queue messages in an Azure Storage Queue. Queue messages must expire after 90 minutes.
Security
The solution has the following security requirements:
* Common security issues such as SQL injection and XSS must be prevented.
* Database-related security issues must not result in customers' data being exposed.
* Exposure of application source code and deployment artifacts must not result in customer data being exposed.
Every 90 days, all application code must undergo a security review to ensure that new or changed code does not introduce a security risk.
Remote code execution in the Web App must not result in the loss of security secrets.
Auditing, Monitoring, Alerting
The solution has the following requirements for auditing, monitoring, and alerting:
* Changes to administrative group membership must be auditable.
* Operations involving encryption keys must be auditable by users in the Azure Key Vault Auditors user role.
* Resources must have monitoring and alerting configured in Azure Security Center.
Authorization, authentication
The solution has the following authentication and authorization requirements:
* Azure Active Directory (Azure AD) must be used to authenticate users.
* Compromised user accounts should be disabled as quickly as possible.
* Only employees of Trey Research Inc. should be able to address automated security recommendations.
Service Level agreement
Failure of any one Azure region must not impact service availability. Customer data must not be lost once accepted by the application.
Performance, resource utilization
The solution must meet the following performance and resource usage requirements:
* Azure costs must be minimized.
* Application performance must remain level, regardless of the geographic location of users.
* All application diagnostic and activity logs must be captured without loss.
* Compute resources must be shared across all databases used by the solution.
NEW QUESTION: 3
A company runs a dynamic mission-critical web application that has an SLA of 99.99%. Global application users access the application 24/7. The application is currently hosted on premises and routinely fails to meet its SLA, especially when millions of users access the application concurrently. Remote users complain of latency.
How should this application be redesigned to be scalable and allow for automatic failover at the lowest cost?
A. Use Amazon Route 53 round robin routing to distribute the load evenly to several regions with health checks. Host the website on automatically scaled Amazon ECS with AWS Fargate technology containers behind a Network Load Balancer, with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora replicas for the data layer.
B. Use Amazon Route 53 geolocation-based routing. Host the website on automatically scaled AWS Fargate containers behind a Network Load Balancer with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora Multi-Master for Aurora MySQL as the data layer.
C. Use Amazon Route 53 failover routing with geolocation-based routing. Host the website on automatically scaled Amazon EC2 instances behind an Application Load Balancer with an additional Application Load Balancer and EC2 instances for the application layer in each region. Use a Multi-AZ deployment with MySQL as the data layer.
D. Use Amazon Route 53 latency-based routing to route to the nearest region with health checks. Host the website in Amazon S3 in each region and use Amazon API Gateway with AWS Lambda for the application layer. Use Amazon DynamoDB global tables as the data layer with Amazon DynamoDB Accelerator (DAX) for caching.
Answer: B