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NEW QUESTION: 1
次の自動スケール条件を含むApp1という名前のAzure Webアプリがあります。自動作成されたデフォルトのスケール条件には、特定のインスタンスカウントへのスケールが2に設定されたスケールモードがあります。
スケール条件1の構成は次のとおりです。
*スケールモード：特定のインスタンスカウントにスケーリング
*インスタンス数3
*スケジュール：開始日/終了日を指定します
*開始日：2019年8月1日
*終了日：2019年9月1日、18：00
スケール条件2の構成は次のとおりです。
*スケールモード：特定のインスタンスカウントにスケーリング
*インスタンス数4
*スケジュール：特定の日を繰り返す
*繰り返し：月曜日
*開始時間：06:00
*終了時間：18:00
スケール条件3の構成は次のとおりです。

Answer:
Explanation:

Explanation

Box 1: 5
Scale condition 1, Scale condition 2, and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
Box 2: 5
Scale condition 1 does not apply as its end date is exceeded.
Scale condition 2 and Scale condition 3 applies.
Scale condition 3 takes precedence as it the largest increase in the number of instances.
When you configure multiple policies and rules, they could conflict with each other. Autoscale uses the following conflict resolution rules to ensure that there is always a sufficient number of instances running:
* Scale-out operations always take precedence over scale-in operations.
* When scale-out operations conflict, the rule that initiates the largest increase in the number of instances takes precedence.
* When scale in operations conflict, the rule that initiates the smallest decrease in the number of instances takes precedence.
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/auto-scaling

NEW QUESTION: 2
You are assisting a new Google Cloud user who just installed the Google Cloud SDK on their VM.
The server needs access to Cloud Storage. The user wants your help to create a new storage bucket. You need to make this change in multiple environments. What should you do?
A. Use a Deployment Manager script to automate creating storage buckets in an appropriate region
B. Use a local SSD to improve performance of the VM for the targeted workload
C. Use a Persistent Disk SSD in the same zone as the VM to improve performance of the VM
D. Use the gsutii command to create a storage bucket in the same region as the VM
Answer: A

NEW QUESTION: 3
ソリューションアーキテクトは、インターネットに接続された2,000のセンサーからデータを収集して保存するシステムを設計しています。各センサーは毎秒1 KBのデータを生成します。データは、システムに送信され、分析のために無期限に保存されてから数秒以内に分析に使用できる必要があります。
データを収集して保存するための最も費用対効果の高いソリューションはどれですか？
A. 各レコードをAmazon DynamoDBテーブルに入れます。テーブルにクエリを実行して、最近のデータを分析します。 DynamoDBストリームに接続されたAWS Lambda関数を使用してレコードをグループ化し、それらをAmazon S3のオブジェクトに書き込み、DynamoDBテーブルからレコードを削除します。 DynamoDBテーブルの最近のデータとAmazon S3の履歴データを分析する
B. 時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを持つAmazon S3のオブジェクトに各レコードを入れます。 S3ライフサイクル管理を使用して、オブジェクトをS3低頻度アクセスストレージに移行し、ストレージコストを削減します。 Amazon S3のデータにアクセスして、最近および過去のデータを分析する
C. 各レコードをAmazon Kinesis Data Streamsに入れます。 AWS Lambda関数を使用して、時間ごとにレコードを整理し、レコードのキーをハッシュするプレフィックスを使用して、Amazon S3のオブジェクトに各レコードを書き込みます。
Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
D. 各レコードをAmazon Kinesis Data Streamsに入れます。 Amazon Kinesis Data Firehouseをセットアップして、ストリームからレコードを読み取り、それらをAmazon S3のオブジェクトにグループ化します。 Kinesis Data Streamsの最近のデータとAmazon S3の履歴データを分析します。
Answer: D

NEW QUESTION: 4
Process data objects can be accessed from_________.
A. any task within a process
B. a subprocess only
C. any process in a project
D. a user task form
Answer: A
Explanation:
Data objects store information related to each process instance you create. The value of these data objects is different for every instance in the process. However the structure of the data object is the same for all process instances.
From within a subprocess you can access process data objects and subprocess data objects. If the name of a subprocess data object matches the name of a process data object, then when you access the data object you obtain the value of the subprocess data object.
Incorrect answer:
C: You can define data objects for a certain subprocess. These data objects are available only when the subprocess is running. When the instance leaves the subprocess the value of subprocess data objects is lost.