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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
Your company has a network that contains an Active Directory forest named fabrikam.com. The forest is synchronized to a Microsoft Azure Active Directory (Azure AD) tenant and has an Azure subscription.
The company also has an Azure AD tenant named contoso.com. Contoso.com has an Azure subscription.
Contoso.com includes foreign principals.
The network contains the computers configured as shown in the following table.

Fabrikam.com contains a user named User1.
For operating system deployment, the company uses a custom operating system image of Windows Server
2016 Datacenter named Image1.
You have an Azure Stack integrated system that is accessed by using the following endpoints:
* https://portal.fabrikam.com
* https://adminportal.fabrikam.com
* https://management.fabrikam.com
* Privileged endpoint: 192.168.100.100
* Hardware lifecycle host: 192.168.101.101
* https://adminmanagement.fabrikam.com
You onboard contoso.com as a guest directory tenant on the Azure Stack integrated system.
You implement in the following Azure Stack providers:
* SQL Server
* App Service
End of repeated scenario.
You need to ensure that tenants can use Image1 to deploy virtual machines.
Which three actions should you perform from https://adminportal.fabrikam.com 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:

NEW QUESTION: 2
新聞組織には、一般向けにバックカタログを検索し、Javaで書かれたWebサイト経由で個々の新聞ページを取得できるオンプレミスアプリケーションがあります。彼らは古い新聞をスキャンしてJPEG（約17 TB）にし、光学式文字認識（OCR）を使用して商用検索製品を作成しました。ホスティングプラットフォームとソフトウェアのサポートは終了しました。組織はアーカイブをAWSに移行し、コスト効率の高いアーキテクチャを作成し、可用性と耐久性を考慮して設計したいと考えています。
どちらが最も適切ですか？
A. CloudFormationを使用して環境をモデル化します。ApacheWebサーバーとオープンソース検索アプリケーションを実行するEC2インスタンスを使用し、複数の標準EBSボリュームをストライプ化してJPEGと検索インデックスを保存します。
B. 検索インデックス33dを格納するシングルAZ RDS MySQLインスタンスを使用します。JPEGイメージはEC2インスタンスを使用してWebサイトを提供し、ユーザークエリをSQLに変換します。
C. 標準の冗長性を備えたS3を使用して、スキャンしたファイルを保存および提供し、クエリ処理にCloudSearchを使用し、Elastic Beanstalkを使用して複数のアベイラビリティゾーンにわたってWebサイトをホストします。
D. CloudFrontダウンロード配布を使用してJPEGをエンドユーザーに提供し、現在の商用検索製品をJava Container TorとともにEC2インスタンスのWebサイトにインストールし、Route53とDNSラウンドロビンを使用します。
E. 冗長性の低いストアでS3を使用し、スキャンしたファイルを提供し、EC2インスタンスに商用検索アプリケーションをインストールし、自動スケーリングとElastic Load Balancerで構成します。
Answer: C
Explanation:
Explanation
There is no such thing as "Most appropriate" without knowing all your goals. I find your scenarios very fuzzy, since you can obviously mix-n-match between them. I think you should decide by layers instead:
Load Balancer Layer: ELB or just DNS, or roll-your-own. (Using DNS+EIPs is slightly cheaper, but less reliable than ELB.) Storage Layer for 17TB of Images: This is the perfect use case for S3. Off-load all the web requests directly to the relevant JPEGs in S3. Your EC2 boxes just generate links to them.
If your app already serves it's own images (not links to images), you might start with EFS. But more than likely, you can just setup a web server to re-write or re-direct all JPEG links to S3 pretty easily.
If you use S3, don't serve directly from the bucket - Serve via a CNAME in domain you control. That way, you can switch in CloudFront easily.
EBS will be way more expensive, and you'll need 2x the drives if you need 2 boxes. Yuck.
Consider a smaller storage format. For example, JPEG200 or WebP or other tools might make for smaller images. There is also the DejaVu format from a while back.
Cache Layer: Adding CloudFront in front of S3 will help people on the other side of the world -- well, possibly. Typical archives follow a power law. The long tail of requests means that most JPEGs won't be requested enough to be in the cache. So you are only speeding up the most popular objects. You can always wait, and switch in CF later after you know your costs better. (In some cases, it can actually lower costs.) You can also put CloudFront in front of your app, since your archive search results should be fairly static. This will also allow you to run with a smaller instance type, since CF will handle much of the load if you do it right.
Database Layer: A few options:
Use whatever your current server does for now, and replace with something else down the road. Don't under-estimate this approach, sometimes it's better to start now and optimize later.
Use RDS to run MySQL/Postgres
I'm not as familiar with ElasticSearch / Cloudsearch, but obviously Cloudsearch will be less maintenance+setup.
App Layer:
When creating the app layer from scratch, consider CloudFormation and/or OpsWorks. It's extra stuff to learn, but helps down the road.
Java+Tomcat is right up the alley of ElasticBeanstalk. (Basically EC2 + Autoscale + ELB).
Preventing Abuse: When you put something in a public S3 bucket, people will hot-link it from their web pages. If you want to prevent that, your app on the EC2 box can generate signed links to S3 that expire in a few hours. Now everyone will be forced to go thru the app, and the app can apply rate limiting, etc.
Saving money: If you don't mind having downtime:
run everything in one AZ (both DBs and EC2s). You can always add servers and AZs down the road, as long as it's architected to be stateless. In fact, you should use multiple regions if you want it to be really robust.
use Reduced Redundancy in S3 to save a few hundred bucks per month (Someone will have to "go fix it" every time it breaks, including having an off-line copy to repair S3.) Buy Reserved Instances on your EC2 boxes to make them cheaper. (Start with the RI market and buy a partially used one to get started.) It's just a coupon saying "if you run this type of box in this AZ, you will save on the per-hour costs." You can get 1/2 to 1/3 off easily.
Rewrite the application to use less memory and CPU - that way you can run on fewer/smaller boxes. (May or may not be worth the investment.) If your app will be used very infrequently, you will save a lot of money by using Lambda. I'd be worried that it would be quite slow if you tried to run a Java application on it though.
We're missing some information like load, latency expectations from search, indexing speed, size of the search index, etc. But with what you've given us, I would go with S3 as the storage for the files (S3 rocks. It is really, really awesome). If you're stuck with the commercial search application, then on EC2 instances with autoscaling and an ELB. If you are allowed an alternative search engine, Elasticsearch is probably your best bet. I'd run it on EC2 instead of the AWS Elasticsearch service, as IMHO it's not ready yet. Don't autoscale Elasticsearch automatically though, it'll cause all sorts of issues. I have zero experience with CloudSearch so ic an't comment on that. Regardless of which option, I'd use CloudFormation for all of it.

NEW QUESTION: 3
In SAP Commerce, if multiple PriceRows match a price request, which PriceRow has priority?
A. The PriceRow with NO specific product but with specific customer
B. The PriceRow for a specific product and specific customer
C. The PriceRow for a specific product group and customer group
D. The PriceRow with NO specific product or customer
Answer: B