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NEW QUESTION: 1
Refer to the exhibit. Which layer is the distribution layer?

A. Layer A
B. Layer C
C. Layers A and B form a consolidated core and distribution layer
D. Layer B
Answer: D

NEW QUESTION: 2
You need to tune a block storage option database for calculations on a 32bit Essbase server. Identify the two starting point tuning steps that you might take (assuming no direct I/O).
A. Set Data Cache to the size of 0.125 * pag file
B. Set Data File Cache to the size of .025 * data file
C. Set Index Cache the size of the index file
D. Reset sparse and dense dimensions to achieve a block size greater than 100KB
Answer: A,C
Explanation:
Explanation/Reference:
Here are the best practices to tune a BSO database:
- ACR (Average clustering Rate) should be as close to 1 as possible, launch a dense restructure to de- fragment the database
- Block Size should be between 10 and 100KB (can be more on 64 bit systems)
- Data cache should be 12.5% of the pag files (B)
- Index cache should be the same size as the ind files (A)
- 1 Database per Application

NEW QUESTION: 3
オンプレミスネットワークには、500 GBのデータを保存するServer1という名前のファイルサーバーが含まれています。
Azure Data Factoryを使用して、Server1からAzure Storageにデータをコピーする必要があります。
新しいデータファクトリを追加します。
次に何をしますか？回答するには、回答領域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は1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf