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NEW QUESTION: 1
Which CLI command is used to see the current OSPF link-state database?
A. show ospf neighbor
B. show ospf link-state
C. show protocols ospf
D. show ospf database
Answer: D

NEW QUESTION: 2
View the exhibit.

While entering a journal in the Journals form, you enter a code of 29.402.4519.2103.240 in the five-segment Accounting Flexfield. However, you are unable to proceed after entering this account combination.
What could be the problem in the structure of the Accounting Flexfield?
A. The "Freeze Flexfield Definition" check box is selected.
B. The "Freeze Rollup Groups" check box is deselected.
C. The "Cross-Validate Segments" check box is selected.
D. The "Allow Dynamic Inserts" check box is deselected.
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. Yes
B. No
Answer: A
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