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NEW QUESTION: 1
You create an Azure web app named WebApp1. WebApp1 has the autoscale settings shown in the following exhibit.


The scale out and scale in rules are configured to have a duration of 10 minutes and a cool down time of five minutes.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: one instance
Refer to scaling condition provided in the question, August 8, 2018 is outside the schedule of the scale condition 1, and Default instance count is 1.
Box 2: two instances
The default instance count is important because autoscale scales your service to that count when metrics are not available. Therefore, select a default instance count that's safe for your workloads.
The Default instance count of scale condition 1 is 4, and the Scale in rule decreases the count with 1.
So initial instance count before scale in condition met = 4
CPU utilization was at 15% for 60 mins so after first 10 mins ( The scale out and scale in rules are configured to have a duration of 10 minutes )instance count reduces by 1 hence after first 10 mins instance count is 4-1=3
Now cool down period is 5 mins , after first 15 mins instance count is 3 .
After next 15 mins , instance count will be 3-1=2.
After next 15 mins , instance count will be =2 because minimum instance count must be 2 , it can't get reduced beyond 2.
So after 60 mins instance count will be at 2.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices

NEW QUESTION: 2
You work as a newspaper editor and you have to write an article on some topic. Which of the following will you choose to accomplish the task?
A. Left align the text.
Explanation: In newspapers, articles are written in columns.
Answer option D is incorrect. The text in a newspaper is not left-aligned.
Answer option A is incorrect. The text in a newspaper is not justified.
Answer option C is incorrect. The text in a newspaper is not center aligned.
What is a column?
A column is one or more vertical blocks of content positioned on a page, separated by margins and/or rules. Columns are most commonly used to break up large bodies of text that cannot fit in a single block of text on a page. Additionally, columns are used to improve page composition and readability. Newspapers very frequently use complex multi-column layouts to break up different stories and longer bodies of texts within a story.
B. Justify the text.
C. Center align the text.
D. Write the text in columns.
Answer: D
Explanation:
Reference:
Chapter: ADVANCED WORD PROCESSING
Objective: Prepare Outputs

NEW QUESTION: 3
귀사는 Amazon Web Services (AWS)에 대규모 기부 웹 사이트를 호스트 할 계획입니다.
많은 데이터베이스 쓰기를 생성하는 크고 미 정량의 트래픽을 예상합니다. AWS에서 호스팅되는 데이터베이스에 대한 쓰기 작업을 중단하지 않도록 하십시오. 어떤 서비스를 사용해야 합니까?
A. Amazon ElastiCache는 쓰기가 데이터베이스에 커밋 될 때까지 쓰기를 저장합니다.
B. 예상 최대 쓰기 처리량까지 프로비저닝 된 IOPS가있는 Amazon RDS.
C. 예상 최대 쓰기 처리량까지 쓰기 처리량을 프로비저닝 한 Amazon DynamoDB.
D. 쓰기를 캡처하고 데이터베이스에 쓸 큐를 배출하는 Amazon Simple Queue Service (SQS).
Answer: D
Explanation:
설명:
설명 :
Amazon SQS (Amazon Simple Queue Service)는 컴퓨터간에 이동하는 메시지를 저장하기위한 안정적이고 확장 성이 뛰어난 호스트 대기열을 제공합니다. 개발자는 Amazon SQS를 사용하여 메시지를 잃지 않거나 각 구성 요소를 항상 사용 가능하게하지 않고도 다른 작업을 수행하는 분산 응용 프로그램 구성 요소간에 데이터를 간단하게 이동할 수 있습니다. Amazon SQS를 사용하면 Amazon EC2 (Elastic Compute Cloud) 및 기타 AWS 인프라 웹 서비스와 긴밀하게 협력하여 분산 된 분리 된 응용 프로그램을 쉽게 만들 수 있습니다.
Amazon SQS로 무엇을 할 수 있습니까?
Amazon SQS는 컴퓨터가 메시지를 처리하기를 기다리는 동안 메시지를 저장하는 데 사용할 수있는 메시지 큐에 대한 액세스를 제공하는 웹 서비스입니다. 따라서 인터넷상의 모든 컴퓨터에서 실행할 수있는 메시지 대기열 응용 프로그램을 신속하게 작성할 수 있습니다. Amazon SQS는 확장 성이 뛰어나며 사용하는 제품에 대해서만 비용을 지불하기 때문에 성능이나 안정성을 떨어 뜨리지 않으면 서 원하는만큼 작은 규모로 시작할 수 있습니다. 이를 통해 메시지 저장 및 관리 방법에 대한 걱정없이 정교한 메시지 기반 응용 프로그램을 작성하는 데 집중할 수 있습니다. 다양한 방법으로 Amazon SQS를 소프트웨어 응용 프로그램과 함께 사용할 수 있습니다. 예를 들어 다음과 같이 할 수 있습니다.
* Amazon SQS를 다른 AWS 인프라 웹 서비스와 통합하여보다 안정적이고 유연한 응용 프로그램을 만들 수 있습니다.
* Amazon SQS를 사용하여 각 메시지가 프로세스에서 완료해야하는 작업 대기열을 만듭니다. 하나 이상의 컴퓨터가 대기열에서 작업을 읽고이를 수행 할 수 있습니다.
* 대기열을 사용하여 마이크로 서비스를 연결하는 마이크로 서비스 아키텍처를 구축하십시오.
* Amazon SQS 대기열의 비즈니스 프로세스에서 중요한 이벤트에 대한 알림을 유지합니다. 각 이벤트는 대기열에 해당 메시지를 가질 수 있으며, 이벤트를 인식해야하는 응용 프로그램은 메시지를 읽고 처리 할 수 ​​있습니다.

NEW QUESTION: 4
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles




* PostgreSQL database stores user credentials
-homed in US West



service level agreement (SLA)


Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:



* 20 machines in US East Coast, each machine has:
-core CPU



Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key- management strategy should you recommend?
A. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
B. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on- premises infrastructure and use GCP managed keys for the VMs.
C. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
D. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
Answer: D
Explanation:
A) (correct answer) This addresses both of data migration and application server migration properly.
"Provision service account keys for the on-premises infrastructure": For code running on systems outside Google, you cannot use GCP-managed keys. You need to create Service account for it and provision User-managed keys. These keys are created, downloadable, and managed by users - This is solution for on-premises access to GCP datastore during migration
"use Google Cloud Platform (GCP) managed keys for the VMs" - this is solution for Application server migration since there is no external access to GCP is required during the migration.
Answer B is incorrect: First, the applications running on-premises to access GCP Datastore assume the identity of the service account to call Google APIs, so that the users aren't directly involved.
Secondly, for the application server migration to GCP VMs, you can use GCP managed keys for the VMs. It's simple and effective. There is no need to provision and manage keys (User- managed keys) by yourself for the VMs.
GCP-managed keys are used by Cloud Platform services such as App Engine and Compute Engine. These keys cannot be downloaded. Google will keep the keys and automatically rotate them on an approximately weekly basis.
C) is incorrect in the solution for on-premises access to GCP Datastore - This is possible options that might require more setup than worthwhile for the requirements.
D) is incorrect for reason of application server migration: you can use GCP managed keys for the VMs. It's simple and effective. There is no need to provision and manage keys (User-managed keys) by yourself for the application VMs