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NEW QUESTION: 1
次のファクトテーブルを含むオンプレミスデータウェアハウスがあります。両方のテーブルには、DataKey、ProductKey、RegionKeyの列があります。 120の一意のプロダクトキーと65の一意の地域キーがあります。

データウェアハウスを使用するクエリの完了には時間がかかります。
Azure SQL Data Warehouseを使用するようにソリューションを移行する予定です。 Azureベースのソリューションがクエリのパフォーマンスを最適化し、処理のスキューを最小限に抑えるようにする必要があります。
何をお勧めしますか？回答するには、回答エリアで適切なオプションを選択します。
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: Hash-distributed
Box 2: ProductKey
ProductKey is used extensively in joins.
Hash-distributed tables improve query performance on large fact tables.
Box 3: Round-robin
Box 4: RegionKey
Round-robin tables are useful for improving loading speed.
Consider using the round-robin distribution for your table in the following scenarios:
* When getting started as a simple starting point since it is the default
* If there is no obvious joining key
* If there is not good candidate column for hash distributing the table
* If the table does not share a common join key with other tables
* If the join is less significant than other joins in the query
* When the table is a temporary staging table
Note: A distributed table appears as a single table, but the rows are actually stored across 60 distributions. The rows are distributed with a hash or round-robin algorithm.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute

NEW QUESTION: 2
DRAG DROP
You are monitoring a Microsoft Azure SQL Database.
The database is experiencing high CPU consumption.
You need to determine which query uses the most cumulative CPU.
How should you complete the Transact-SOL statement? To answer, drag the appropriate Transact-SOL segments to the correct locations. Each Transact-SOL segment may be used once, more than one or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

NEW QUESTION: 3
You are designing a Windows Azure application that will use Windows Azure Table storage.
The application will allow teams of users to collaborate on projects. Each user is a member of only one team. You have the following requirements:
-Ensure that each user can efficiently query records related to his or her team's projects.
-Minimize data access latency.
You need to recommend an approach for partitioning table storage entities. What should you recommend?
A. Partition by project
B. Partition by the current date
C. Partition by user
D. Partition by team
Answer: D
Explanation:
Partitions represent a collection of entities with the same PartitionKey values. Partitions are always served from one partition server and each partition server can serve one or more partitions. A partition server has a rate limit of the number of entities it can serve from one partition over time.
References: https://docs.microsoft.com/en-us/rest/api/storageservices/Designing-a-Scalable- Partitioning-Strategy-for-Azure-Table-Storage?redirectedfrom=MSDN