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NEW QUESTION: 1
회사는 한 달에 수천 개의 1GB 보고서를 생성하는 응용 프로그램을 실행합니다. 이 보고서의 약 10 %는 처음 3 일 동안 한번 액세스되며 요청시 제공되어야 합니다. 30 일 후 보고서는 더 이상 일반 비즈니스 프로세스의 일부로 액세스되지 않지만 규정 준수를 위해 유지되어야 합니다.
어떤 아키텍처가 가장 저렴한 비용으로 이러한 요구 사항을 충족합니까?
A. 보고서를 Amazon Glacier에 업로드하십시오. 보고서가 요청되면 액세스 할 수 있도록 Amazon S3 Standard 스토리지 클래스로 보고서를 복사하십시오. 복사한 보고서를 본 후에 삭제하십시오.
B. 보고서를 Amazon S3 Standard-Infrequent Access 스토리지 클래스에 업로드하십시오. 버킷에서 수명주기 구성을 설정하여 30 일 후에 보고서를 Amazon Glacier로 전환하십시오.
C. 보고서를 Amazon S3 Standard 스토리지 클래스에 업로드합니다. 버킷에서 수명주기 구성을 설정하여 30 일 후에 보고서를 Amazon Glacier로 전환하십시오.
D. 보고서를 Amazon S3 Standard-Infrequent Access 스토리지 클래스에 업로드합니다. 보고서가 요청되면 액세스를 위해 보고서를 Amazon S3 Standard 스토리지 클래스에 복사하십시오. 복사한 보고서를 본 후에 삭제하십시오.
Answer: C

NEW QUESTION: 2
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:
Explanation/Reference:
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.
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas- tabular

NEW QUESTION: 3
A user lost access to an internal network resource (e.g. application or intranet site) but is still receiving company email. The administrator should FIRST check for:
A. AMAC address conflict.
B. Network connectivity.
C. Group policy misconfiguration.
D. Network saturation.
Answer: C

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