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NEW QUESTION: 1
Given the following SAS data set ONE:
ONE
CATEGORY AGE SALARY BONUS
M 28 200 20
M 25 100 10
M 28 300 10
M 33 300 30
F 18 100 50
F 25 200 10
F 35 400 50
The following SQL program is submitted:
proc sql;
create table two as
select distinct age
from one
where age < 33;
quit;
How many rows are written to the SAS data set TWO?
A. 0
B. 1
C. 2
D. 3
Answer: C

NEW QUESTION: 2
Which feature provides the capability to generate fast reports for similar scenario runs?
A. Auto Correlate
B. SAP Diagnostics
C. Report Templates
D. HTML Reports
Answer: C

NEW QUESTION: 3
Azure Stream Analyticsを使用して、ストリーミングソーシャルメディアデータを取り込むことを計画しています。データはAzure Data Lake Storageのファイルに保存され、Azure SQL Data WarehouseでAzure DatabricksとPolyBaseを使用して消費されます。
ファイルに対するDatabricksおよびPolyBaseからのクエリで発生する可能性のあるエラーが最小限になるように、Stream Analyticsデータ出力形式を推奨する必要があります。このソリューションでは、ファイルにすばやくクエリを実行し、データ型情報を保持する必要があります。
何をお勧めしますか？
A. アブロ
B. JSON
C. CSV
D. 寄せ木張り
Answer: A
Explanation:
The Avro format is great for data and message preservation.
Avro schema with its support for evolution is essential for making the data robust for streaming architectures like Kafka, and with the metadata that schema provides, you can reason on the data. Having a schema provides robustness in providing meta-data about the data stored in Avro records which are self-documenting the data.
References:
http://cloudurable.com/blog/avro/index.html