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NEW QUESTION: 1
The column storage engine is more suitable for OLAP big data statistical analysis scenarios.
A. T
B. F
Answer: A

NEW QUESTION: 2
Amazon S3 has the following structure: S3://BUCKET/FOLDERNAME/FILENAME.zip
Which S3 best practice would optimize performance with thousands of PUT request each second to a single bucket?
A. Prefix folder names with random hex hashes; for example, s3://BUCKET/23a6-FOLDERNAME/
FILENAME.zip
B. Prefix file names with timestamps; for example, s3://BUCKET/FOLDERNAME/2013-26-05-15-00-00- FILENAME.zip
C. Prefix file names with random hex hashes; for example, s3://BUCKET/FOLDERNAME/23a6- FILENAME.zip
D. Prefix folder names with user id; for example, s3://BUCKET/2013-FOLDERNAME/FILENAME.zip
Answer: A

NEW QUESTION: 3
Solution monitoring three monitoring sections within the SAP solution manager: (Choose three)
A. System monitoring central system
B. Service level management.
C. Business Process monitoring
Answer: A,B,C

NEW QUESTION: 4
DRAG DROP
Data Quality Services（DQS）でナレッジベースを構築する必要があります。
DQSがデータを処理する前に、サードパーティのデータソースを使用してデータが検証されていることを確認する必要があります。
どの4つのアクションを順番に実行しますか？ 答えるには、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。

Answer:
Explanation:

Explanation

Building a DQS knowledge base involves the following processes and components:
Step 1: Perform Knowledge Discovery
A computer-assisted process that builds knowledge into a knowledge base by processing a data sample Step 2: Perform Domain Management An interactive process that enables the data steward to verify and modify the knowledge that is in knowledge base domains, each of which is associated with a data field. This can include setting field-wide properties, creating rules, changing specific values, using reference data services, or setting up term-based or cross-field relationships.
Step 3: Configure reference Data Services
A process of domain management that enables you to validate your data against data maintained and guaranteed by a reference data provider.
Step 4: Configure a Matching Policy
A policy that defines how DQS processes records to identify potential duplicates and non-matches, built into the knowledge base in a computer-assisted and interactive process.
References: https://docs.microsoft.com/en-us/sql/data-quality-services/dqs-knowledge-bases-and-domains