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NEW QUESTION: 1
同じアベイラビリティーゾーン（AZ）の異なるサブネットにあるVirtual Private Cloud（VPC）内に2つのElastic Compute Cloud（EC2）インスタンスがあります。
一方のインスタンスはデータベースを実行しており、もう一方のインスタンスはデータベースとのインタフェースをとるアプリケーションです。
アプリケーションが正しく動作するためには、それらが互いに通信できることを確認する必要があります。
これら2つのEC2インスタンスがVPC内で通信できるようにするために、VPC設定で確認する必要があるものは2つありますか。 2つの答えを選んでください
A. 2つのサブネット間の通信を許可するネットワークACL
B. 両方のインスタンスが同じインスタンスクラスで、同じキーペアを使用しています。
C. デフォルトルートがNATインスタンスまたはインターネットゲートウェイ（IGW）に設定されていて、それらが通信できるようになっています。
D. セキュリティグループは、アプリケーションホストが正しいポート/プロトコルでデータベースと通信できるように設定されています。
Answer: A,D
Explanation:
Subnet communication does not depend on key pair, NAT, or IGW.

NEW QUESTION: 2
Which repot show you differences between your subledger balances and General Ledger balances?
A. Payables to Ledger Reconciliation Report and the Receivables to Ledger Reconciliation Report
B. Payables Trial Balance, Receivables Trial Balance, and General Ledger Trial Balance reports
C. General Ledger Financial Statements and the Accounts Payable and Accounts Receivables Invoice Registers
D. Payables and Receivables Aging Reports with the General Ledger Trial Balance report
Answer: A

NEW QUESTION: 3
You have the following Azure Stream Analytics query.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Box 1: Yes
You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
10 partitions x six SUs = 60 SUs is fine.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/