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NEW QUESTION: 1

A. CNAME
B. A
C. SRV
D. MX
Answer: A
Explanation:
A CNAME record maps a specific domain, such as contoso.com or www.contoso.com, to a canonical domain name. In this case, the canonical domain name is the <myapp>.cloudapp.net domain name of your Azure hosted application. Once created, the CNAME creates an alias for the
<myapp>.cloudapp.net. The CNAME entry will resolve to the IP address of your <myapp>.cloudapp.net service automatically, so if the IP address of the cloud service changes, you do not have to take any action.
Incorrect:
Not D:
* Since an A record is mapped to a static IP address, it cannot automatically resolve changes to the IP address of your Cloud Service.
* An A record maps a domain, such as contoso.com or www.contoso.com, or a wildcard domain such as
*.contoso.com, to an IP address. In the case of an Azure Cloud Service, the virtual IP of the service. So the main benefit of an A record over a CNAME record is that you can have one entry that uses a wildcard, such as *.contoso.com, which would handle requests for multiple sub-domains such as mail.contoso.com, login.contoso.com, or www.contso.com.
Reference:

NEW QUESTION: 2
During a recent security audit, it was discovered that multiple teams in a large organization have placed restricted data in multiple Amazon S3 buckets, and the data may have been exposed. The auditor has requested that the organization identify all possible objects that contain personally identifiable information (PII) and then determine whether this information has been accessed.
What solution will allow the Security team to complete this request?
A. Enable Amazon GuardDuty and enable the PII rule set on the S3 buckets that were impacted, then perform data classification. Using the PII findings report from GuardDuty, query the S3 bucket logs by using Athena for GET operations.
B. Enable Amazon Inspector on the S3 buckets that were impacted, then perform data classification. For identified objects that contain PII, query the S3 bucket logs by using Athena for GET operations.
C. Using Amazon Athena, query the impacted S3 buckets by using the PII query identifier function. Then, create a new Amazon CloudWatch metric for Amazon S3 object access to alert when the objects are accessed.
D. Enable Amazon Macie on the S3 buckets that were impacted, then perform data classification. For identified objects that contain PII, use the research function for auditing AWS CloudTrail logs and S3 bucket logs for GET operations.
Answer: D

NEW QUESTION: 3
John is the Multi Corp Security Administrator. If he suggests a change in the firewall configuration, he must submit his proposal to David, a security manager. One day David is out of the office and john submits his proposal to peter. Surprisingly, Peter is not able to approve the proposal because the system does not permit him to do so?


Both David and Peter have accounts as administrators in the Security Management server and both have the Read/Write ALL permission. What is the reason for this difference?
A. Peter was no logged on to system for a longer time
B. There were some Hardware/Software issues at Security Management server on the first day.
C. The attribute Manage Administrator was not assigned to Peter
D. The specific Smart Workflow read/Write permission were assigned to David only.
Answer: C

NEW QUESTION: 4
写真共有および出版会社は、毎日10,000〜150,000枚の画像を受け取ります。会社は、サービスに登録されている複数のサプライヤーとユーザーから画像を受け取ります。会社はAWSに移行しており、Amazon Rekognitionを使用してデータを追加することにより、既存のメタデータを充実させたいと考えています。
以下は追加データの例です。

クラウド移行プログラムの一環として、同社は既存の画像データをAmazon S3にアップロードし、ユーザーに画像を直接Amazon S3にアップロードするように指示しました。
これらの要件をサポートするために、ソリューションアーキテクトは何をすべきですか？
A. S3イベント通知に基づいてAmazon SQSキューを開始します。次に、Amazon SQSからメタデータ情報をAmazon DynamoDBに送信します。 Amazon EC2で実行されているアプリケーションは、APIを使用してAmazon Rekognitionからデータを抽出し、DynamoDBおよびAmazon ESにデータを追加します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
B. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon DynamoDBを使用してメタデータを保存し、Amazon ESを使用してインデックスを作成します。ウェブフロントエンドを使用して、Amazon ESがサポートする検索機能を提供します。
C. S3イベント通知に基づいてAWS Lambdaをトリガーし、Amazon Rekognitionを使用して追加のメタデータを作成します。 Amazon RDS MySQL Multi-AZを使用してメタデータ情報を保存し、Lambdaを使用してインデックスを作成します。 Lambdaがサポートする検索機能を備えたWebフロントエンドを使用します。
D. Amazon Kinesisを使用して、S3イベントに基づいてデータをストリーミングします。 Amazon EC2で実行されているアプリケーションを使用して、画像からメタデータを抽出します。次に、データをAmazon DynamoDBおよびAmazon CloudSearchに保存し、インデックスを作成します。 CloudSearchがサポートする検索機能を備えたWebフロントエンドを使用します。
Answer: B
Explanation:
Explanation
https://github.com/aws-samples/lambda-refarch-imagerecognition