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NEW QUESTION: 1
次のAzure Stream Analyticsクエリがあります。

次の各文について、文が真の場合は「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には1ポイントの価値があります。

Answer:
Explanation:

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/

NEW QUESTION: 2
You have been tasked with designing a data cleansing process that does NOT write any Interim data or results
In Enterprise Data Quality (EDQ). How should you proceed?
A. Configure a Job without any whole record set processors, disable all data staging, and ensure all
processes are writing no drilldown data.
B. Stage all results views and export them when running the |ob.
C. Design the process to read and write data from web services interfaces and mi* it in Interval mode.
D. Design a Job in EDQ and deploy it directly to the data source using a DIPC agent.
Answer: A

NEW QUESTION: 3
Einstellungswert
VM Größe D3
Speicherort Laufwerk E
Lagertyp Standard
Tempdb Ort Laufwerk C
Die Auslastung dieser Instanz hat die tembdb-Auslastung.
Sie müssen die Leistung der Tempdb-Datenbank maximieren.
Lösung: Sie verwenden eine rechenintensive AB-Instanz und speichern die Tempdb-Datenbank im Standardspeicher.
Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: B
Explanation:
Explanation
For D-series, Dv2-series, and G-series VMs, the temporary drive on these VMs is SSD-based. If your workload makes heavy use of TempDB (such as temporary objects or complex joins), storing TempDB on the D drive could result in higher TempDB throughput and lower TempDB latency.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sql/virtual-machines-windows-sql-performanc