Questions and Answers: 166
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NEW QUESTION: 1
You need to deploy a new version of the Label Maker application.
Which three actions should you perform in sequence?
To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Create an alias of the image with fully qualified path to the registry
Log in to the registry and push image
Restart the cluster.
Topic 5, Case Study: 5Background
Requirements
You are a developer for Proseware, Inc. You are developing an application that applies a set of governance policies for Proseware's internal services, external services, and applications. The application will also provide a shared Horary for common functionality.
Policy service
You develop and deploy a stateful ASP.NET Core 21 web application named Policy service to an Azure App Service Web App. The application reacts to events from Azure Event Grid and performs policy actions based on those events.
The application must include the Event Grid Event ID field in all Application Insights telemetry.
Policy service must use Application Insights to automatically scale with the number of policy actions that it is performing.
Policies
Log policy
All Azure App Service Wet) Apps must write logs to Azure Blob storage. All tog files should be saved to a container named logdrop. Logs must remain in the container for 15 days.
Authentication events
Authentication events are used to monitor users signing in and signing out All authentication events must be processed by PoScy service Sign outs must be processed as quickly as possible Policy Lib You have a shared library named Policy Lib that contains functionality common to all ASP.NET Core web services and applications. The Policy Lib library must:
* Exclude non-user actions from Application Insights telemetry.
* Provide methods that allow a web service to scale itself.
* Ensure that scaling actions do not disrupt application usage.
Other
Anomaly detection service
You have an anomaly detection service that analyzes log information for anomalies. It is implemented as an Azure Machine learning model. The model is deployed as a web service.
If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook.
Hearth monitoring
All web applications and services have health monitoring at the /health service endpoint Issues Policy loss When you deploy Policy service, policies may not be applied if they were m the process of being applied during the deployment.
Performance issue
When under heavy load, the anomaly detection service undergoes slowdowns and rejects connections.
Notification latency
Users report that anomaly detection emails can sometimes arrive several minutes after an anomaly is detected.
App code
EventGridController.cs
Relevant portions of the app files are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which they belong.
LoginEvent.cs
Relevant portions of the app files are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which they belong.
NEW QUESTION: 2
회사는 비디오 처리 플랫폼을 운영합니다. 웹 서버에 연결한 사용자가 파일을 업로드하여 Amazon EFS 공유에 저장합니다. 이 웹 서버는 단일 Amazon EC2 인스턴스에서 실행 중입니다. Auto Scaling 그룹에서 실행되는 다른 인스턴스 그룹은 EFS 공유 디렉토리 구조를 스캔하여 처리할 새 파일을 찾고 지침 파일에 따라 새 비디오 (축소판, 다른 해상도, 압축 등)를 생성합니다. 비디오 파일. Auto Scaling 그룹에서 관리하는 인스턴스 그룹에서 실행중인 다른 애플리케이션이 비디오 파일을 처리한 다음 EFS 공유에서 삭제합니다. 결과는 S3 버킷에 저장됩니다. 처리된 비디오 파일에 대한 링크는 고객에게 이메일로 발송됩니다.
이 회사는 최근 Auto Scaling Group에 인스턴스를 추가할수록 많은 파일이 두 번 처리되므로 이미지 처리 속도가 향상되지 않는다는 사실을 발견했습니다. 이 비디오 파일의 최대 크기는 2GB입니다.
안정성을 개선하고 비디오 파일의 중복 처리를 줄이려면 Solutions Architect가 수행해야 하는 작업은 무엇입니까?
A. 웹 애플리케이션을 다시 작성하여 Amazon S3에서 직접 실행하고 Amazon API Gateway를 사용하여 비디오 파일을 S3 버킷에 업로드하십시오. 파일을 업로드할 때마다 S3 트리거를 사용하여 AWS Lambda 함수를 실행하여 새 비디오 파일을 다른 버킷에 처리 및 저장할수 있습니다. CloudWatch Events를 사용하여 SES 작업을 트리거하여 처리된 파일에 대한 링크가 포함된 이메일을 고객에게 보냅니다.
B. 비디오 파일을 Amazon S3에 직접 업로드하도록 웹 애플리케이션을 수정하십시오. 파일이 업로드될 때마다 Amazon CloudWatch Events를 사용하여 AWS Lambda 함수를 트리거하고이 Lambda 함수가 새 파일에 대한 Amazon 큐에 메시지를 넣고 큐 깊이 지표를 사용하여 비디오 처리 Auto Scaling 그룹에서 인스턴스를 조정하십시오.
C. Amazon S3에서 실행할 애플리케이션을 다시 작성하고 비디오 파일을 S3 버킷에 업로드합니다. 새 파일이 업로드될 때마다 AWS Lambda 함수를 트리거하여 링크와 지침이 포함된 메시지를 SQS 대기열에 넣습니다. SQS 대기열과 S3 버킷에서 읽도록 비디오 처리 응용 프로그램을 수정하십시오. 큐 깊이 지표를 사용하여 비디오 처리 인스턴스에 대한 Auto Scaling 그룹의 크기를 조정하십시오.
D. 웹 서버 인스턴스에서 cron 작업을 설정하여 EFS 공유의 내용을 Amazon S3에 동기화합니다. 비디오 파일을 처리하고 결과를 Amazon S3에 저장하기 위해 파일을 업로드 할 때마다 AWS Lambda 함수를 트리거하십시오. Amazon CloudWatch Events를 사용하면 Amazon SES 작업이 트리거되어 처리된 파일에 대한 링크가 포함 된 이메일을 고객에게 보냅니다.
Answer: A
Explanation:
A\D: If SQS is used, then FIFO must be configured to ensure that the messages are processed only once.
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/FIFO- queues.html B: There is a time lag in the sync from EFS to S3.
C: This is more instant compared to A and hence improved the reliability.
NEW QUESTION: 3
If the project specification DOES NOT state the specific DFT measurement standards, the inspector should use
A. their best judgment based on similar projects and specifications.
B. NACE 2/SSPC SP10
C. a detailed checklist and document the lack of a standard.
D. a recognized industry standard like SSPC-PA 2 that is broadly accepted
Answer: D
NEW QUESTION: 4
You need to design the system that alerts project managers to data changes in the contractor information app.
Which service should you use?
A. Azure Service Bus Message Queueing
B. Azure Notification Hub
C. Azure Queue Messaging
D. Azure Mobile Service
Answer: C
Explanation:
* Scenario:
/ Mobile Apps: Event-triggered alerts must be pushed to mobile apps by using a custom Node.js script.
/ The service level agreement (SLA) for the solution requires an uptime of 99.9%
* If you are already using Azure Storage Blobs or Tables and you start using queues, you are guaranteed 99.9% availability. If you use Blobs or Tables with Service Bus queues, you will have lower availability.
Note: Microsoft Azure supports two types of queue mechanisms: Azure Queues and Service Bus Queues.
/ Azure Queues, which are part of the Azure storage infrastructure, feature a simple REST- based Get/Put/Peek interface, providing reliable, persistent messaging within and between services.
/ Service Bus queues are part of a broader Azure messaging infrastructure that supports queuing as well as publish/subscribe, Web service remoting, and integration patterns.
References: https://msdn.microsoft.com/en-us/library/azure/hh767287.aspx
Topic 12, Trey ResearchBackground
Overview
Trey Research conducts agricultural research and sells the results to the agriculture and food industries. The company uses a combination of on-premises and third-party server clusters to meet its storage needs. Trey Research has seasonal demands on its services, with up to 50 percent drops in data capacity and bandwidth demand during low-demand periods. They plan to host their websites in an agile, cloud environment where the company can deploy and remove its websites based on its business requirements rather than the requirements of the hosting company.
A recent fire near the datacenter that Trey Research uses raises the management team's awareness of the vulnerability of hosting all of the company's websites and data at any single location. The management team is concerned about protecting its data from loss as a result of a disaster.
Websites
Trey Research has a portfolio of 300 websites and associated background processes that are currently hosted in a third-party datacenter. All of the websites are written in ASP.NET, and the background processes use Windows Services. The hosting environment costs Trey Research approximately S25 million in hosting and maintenance fees.
Infrastructure
Trey Research also has on-premises servers that run VMs to support line-of-business applications. The company wants to migrate the line-of-business applications to the cloud, one application at a time. The company is migrating most of its production VMs from an aging VMWare ESXi farm to a Hyper-V cluster that runs on Windows Server 2012.
Applications
DistributionTracking
Trey Research has a web application named Distributiontracking. This application constantly collects realtime data that tracks worldwide distribution points to customer retail sites. This data is available to customers at all times.
The company wants to ensure that the distribution tracking data is stored at a location that is geographically close to the customers who will be using the information. The system must continue running in the event of VM failures without corrupting data. The system is processor intensive and should be run in a multithreading environment.
HRApp
The company has a human resources (HR) application named HRApp that stores data in an on-premises SQL Server database. The database must have at least two copies, but data to support backups and business continuity must stay in Trey Research locations only.
The data must remain on-premises and cannot be stored in the cloud.
HRApp was written by a third party, and the code cannot be modified. The human resources data is used by all business offices, and each office requires access to the entire database. Users report that HRApp takes all night to generate the required payroll reports, and they would like to reduce this time.
MetricsTracking
Trey Research has an application named MetricsTracking that is used to track analytics for the DistributionTracking web application. The data MetricsTracking collects is not customer-facing. Data is stored on an on-premises SQL Server database, but this data should be moved to the cloud. Employees at other locations access this data by using a remote desktop connection to connect to the application, but latency issues degrade the functionality.
Trey Research wants a solution that allows remote employees to access metrics data without using a remote desktop connection. MetricsTracking was written in-house, and the development team is available to make modifications to the application if necessary.
However, the company wants to continue to use SQL Server for MetricsTracking.
Business Requirements
Business Continuity
You have the following requirements:
* Move all customer-facing data to the cloud.
* Web servers should be backed up to geographically separate locations,
* If one website becomes unavailable, customers should automatically be routed to websites that are still operational.
* Data must be available regardless of the operational status of any particular website.
* The HRApp system must remain on-premises and must be backed up.
* The MetricsTracking data must be replicated so that it is locally available to all Trey Research offices.
Auditing and Security
You have the following requirements:
* Both internal and external consumers should be able to access research results.
* Internal users should be able to access data by using their existing company credentials without requiring multiple logins.
* Consumers should be able to access the service by using their Microsoft credentials.
* Applications written to access the data must be authenticated.
* Access and activity must be monitored and audited.
* Ensure the security and integrity of the data collected from the worldwide distribution points for the distribution tracking application.
Storage and Processing
You have the following requirements:
* Provide real-time analysis of distribution tracking data by geographic location.
* Collect and store large datasets in real-time data for customer use.
* Locate the distribution tracking data as close to the central office as possible to improve bandwidth.
* Co-locate the distribution tracking data as close to the customer as possible based on the customer's location.
* Distribution tracking data must be stored in the JSON format and indexed by metadata that is stored in a SQL Server database.
* Data in the cloud must be stored in geographically separate locations, but kept with the same political boundaries.
Technical Requirements
Migration
You have the following requirements:
* Deploy all websites to Azure.
* Replace on-premises and third-party physical server clusters with cloud-based solutions.
* Optimize the speed for retrieving exiting JSON objects that contain the distribution tracking data.
* Recommend strategies for partitioning data for load balancing.
Auditing and Security
You have the following requirements:
* Use Active Directory for internal and external authentication.
* Use OAuth for application authentication.
Business Continuity
You have the following requirements:
* Data must be backed up to separate geographic locations.
* Web servers must run concurrent versions of all websites in distinct geographic locations.
* Use Azure to back up the on-premises MetricsTracking data.
* Use Azure virtual machines as a recovery platform for MetricsTracking and HRApp.
* Ensure that there is at least one additional on-premises recovery environment for the HRApp.