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NEW QUESTION: 1
You are working on a case that pertains to a common issue encountered by customers. You discover a new solution to resolve the issue.
You need to ensure that all users can find the new solution.
What should you do?
A. Create a knowledge article.
B. Create a solution file.
C. Assign the case to a team that includes all of the users.
D. Share the case with all of the users.
Answer: A

NEW QUESTION: 2
指定された構成をルーターに適用すると、デバイスの背後にあるDHCPクライアントはサブネット外のホストと通信できなくなります。

問題を修正する可能性が最も高いのはどのアクションですか？
A. DNSサーバーをクライアントと同じサブネット上に構成します
B. dhcpプールをアクティブにします
C. サブネットマスクを修正します
D. デフォルトゲートウェイを設定します
Answer: D

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data. The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by
4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.
You need to improve the performance.
Solution: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model.
Datasets can be larger than the memory capacity of an Analysis Services server.
Etc.
https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas- tabular