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NEW QUESTION: 1

A. Cloud Services
B. Update Domains
C. Traffic Manager
D. Express Route
Answer: D
Explanation:
ExpressRoute gives you a fast and reliable connection to Azure making it suitable for scenarios like periodic data migration, replication for business continuity, disaster recovery and other high availability strategies. It can also be a cost-effective option for transferring large amounts of data such as datasets for high performance computing applications or moving large VMs between your dev/test environment in Azure and on-premises production environment.
References: http://azure.microsoft.com/en-us/services/expressroute/
Topic 11, Trey Research Inc, Case C
Background
You are software architect for Trey Research Inc, a Software as a service (SaaS) company that provides text analysis services. Trey Research Inc, has a service that scans text documents and analyzes the content to determine content similarities. These similarities are referred to as categories, and indicate groupings on authorship, opinions, and group affiliation.
The document scanning solution has an Azure Web App that provides the user interface.
The web app includes the following pages:
* Document Uploads: This page allows customers to upload documents manually.
* Document Inventory: This page shows a list of all processed documents provided by a customer. The page can be configured to show documents for a selected category.
* Documents Upload Sources: This page shows a map and information about the geographic distribution of uploaded documents. This page allows users to filter the map based on assigned categories.
The web application is instrumented with Azure Application Insight. The solution uses Cosmos DB for data storage.
Changes to the web application and data storage are not permitted.
The solution contains an endpoint where customers can directly upload documents from external systems.
Document Processing
Source Documents
Documents must be in a specific formate before they are uploaded to the system. The first four lines of the document must contain the following information. If any of the first four lines are missing or invalid, the document must not be processed.
* the customer account number
* the user who uploaded the document
* the IP address of the person who created the document
* the date and time the document was created
The remaining portion of the documents contain the content that must be analyzed. prior to processing by the Azure Data Factory pipeline, the document text must be normalized so that words have spaces between them.
Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is uploaded once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Other requirements
Business Analysis
Trey Research Inc. business analysis must be able to review processed documents, and analyze data by using Microsoft Excel.
Business analysis must be able to discover data across the enterprise regardless of where the data resides.
Data Science
Data scientists must be able to analyze results without charging the deployed application.
The data scientists must be able to analyze results without being connected to the Internet.
Security and Personally Identifiable Information (PII)
* Access to the analysis results must be limited to the specific customer account of the user that originally uploaded the documents.
* All access and usage of analysis results must be logged. Any unusual activity must be detected.
* Documents must not be retained for more than 100 hours.
Operations
* All application logs, diagnostic data, and system monitoring must be available in a single location.
* Logging and diagnostic information must be reliably processed.
* The document upload time must be tracked and monitored.

NEW QUESTION: 2
Which option is used to implement suppression in the Rule Management user interface?
A. Global
B. Rule Category
C. Source
D. Protocol
Answer: C
Explanation:
Explanation/Reference:
valid.

NEW QUESTION: 3
企業は、最大30日間、小さなデータレコード（最大1 KiB）をコスト効率よく保持する必要があります。データはめったに読み取られません。データを読み取るときは、5分間の遅延が許容されます。
次のソリューションのどれがこの目標を達成しますか？ （2つ選択してください。）
A. Amazon API Gatewayを介して呼び出されるAWS Lambda関数を使用して、5分間のデータを収集します。 Lambdaの実行が停止する直前にAmazon S3にデータを書き込みます。
B. レコードをRedisのAmazon ElastiCacheに書き込みます。 Amazon S3に書き込むように、Redisの追加専用ファイル（AOF）永続ログを設定します。 ElastiCacheインスタンスに障害が発生した場合、ログから回復します。
C. レコードをAmazon Kinesis Data Firehoseに書き込み、5分後にAmazon S3にデータを配信するようにKinesis Data Firehoseを設定します。 S3バケットに30日の有効期限アクションを設定します。
D. Amazon S3を使用して、1つのS3オブジェクトに複数のレコードを収集します。ライフサイクル設定を使用して、書き込み後すぐにデータをAmazon Glacierに移動します。データの読み取り時に、迅速な取得を使用します。
E. 30日間の有効期間（TTL）で設定されたAmazon DynamoDBにレコードを書き込みます。 GetItemまたはBatchGetItem呼び出しを使用してデータを読み取ります。
Answer: C,E
Explanation:
A: After 30 days the data should be deleted instead of storing it.
B: When an object reaches the end of its lifetime, Amazon S3 queues it for removal and removes it asynchronously. There may be a delay between the expiration date and the date at which Amazon S3 removes an object. You are not charged for storage time associated with an object that has expired.
C: Does not address the 30 days deletion.
D: https://aws.amazon.com/blogs/aws/new-manage-dynamodb-items-using-time-to-live-ttl/ E: This is for cache and not suitable for this use case.
https://docs.aws.amazon.com/AmazonS3/latest/dev/lifecycle-expire-general-considerations.html