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NEW QUESTION: 1

(Choose five.)

A. Option E
B. Option H
C. Option G
D. Option D
E. Option C
F. Option A
G. Option B
H. Option F
Answer: B,C,D,E,H

NEW QUESTION: 2
クラウドエンドポイントを持つSync1という名前の同期グループがあります。クラウドエンドポイントには、File1.txtという名前のファイルが含まれています。
オンプレミスネットワークには、Windows Server 2016を実行するサーバーが含まれています。サーバーは、次の表に示すように構成されています。

Sync1のエンドポイントとしてShare1を追加します。 1時間後、Share2をSync1のエンドポイントとして追加します。
次の各ステートメントについて、ステートメントがtrueの場合は[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Yes
If you add an Azure file share that has an existing set of files as a cloud endpoint to a sync group, the existing files are merged with any other files that are already on other endpoints in the sync group.
Box 2: No
Box 3: Yes
References:
https://docs.microsoft.com/en-us/azure/storage/files/storage-sync-files-planning

NEW QUESTION: 3
攻撃者のジョンソンは、評判の高いサイバーセキュリティ会社の連絡先の詳細についてオンライン調査を行いました。彼はsibertech.orgの連絡先番号を見つけてその番号をダイヤルし、ベンダーの技術サポートチームを代表していると主張しました。彼は、特定のサーバーが危険にさらされようとしていることを警告し、提供された指示に従うようにsibertech.orgに要求しました。その結果、彼は被害者に異常なコマンドを実行し、悪意のあるファイルをインストールするように促しました。これらのファイルは、重要な情報を収集してジョンソンのマシンに渡すために使用されました。上記のシナリオでスティーブが採用したソーシャルエンジニアリング手法は何ですか？
A. 流用の盗難
B. 誘発
C. フィッシング
D. Quid pro quo
Answer: A

NEW QUESTION: 4
新聞の組織には、一般の人がバックカタログを検索したり、Javaで書かれたWebサイトを介して個々の新聞ページを検索したり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JPEG（約17TB）にスキャンし、光学式文字認識（OCR）を使っ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は廃止され、組織はそのアーカイブをAWSに移行してコスト効率の高いアーキテクチャを作成し、それでも可用性と耐久性を考慮して設計されることを望んでいます。
どれが最も適切ですか？
A. CloudFrontダウンロードディストリビューションを使用してエンドユーザーにJPEGを配信し、現在の商用検索製品をJava Container Torと共にEC2インスタンスにインストールし、Route 53をDNSラウンドロビンと共に使用します。
B. シングルAZ RDS MySQLインスタンスを使用して検索インデックスを保存する33d JPEG画像は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. 冗長性を抑えたS3を使用してスキャンしたファイルを保存し、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て、オートスケーリングとElastic Load Balancerを使用して設定します。
D. スキャンしたファイルの保存と提供には標準の冗長性を備えたS3を使用し、クエリ処理にはCloudSearchを使用し、複数のアベイラビリティゾーンにまたがってWebサイトをホストするにはElastic Beanstalkを使用します。
E. CloudFormationを使用して環境をモデル化するには、Apache Webサーバーを実行するEC2インスタンスとオープンソースの検索アプリケーションを使用し、複数の標準EBSボリュームをまとめてJPEGと検索インデックスを格納します。
Answer: D
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.