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NEW QUESTION: 1
A company has several offices that are located in the office building in Seattle. The company also has employees visiting from other countries. You implement Skype for Business Server Enterprise Voice.
The company has a phone at a security desk. You need to implement call routing for emergency calls. The solution must meet the following requirements:
* If a user dials 112, thecall must be routed to a phone extension of 0911.
* If a user dials 0911, the call must be routed to the phone at the security desk.
* The phone at the security desk must be used to forward calls to the emergency number in the Seattle offices only.
What technologies should you implement? To answer, drag the appropriate technology to the correct requirement in the answer area. Each technology may be used once, more than once, or not at all. Additionally, you may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

NEW QUESTION: 2
HOTSPOT
You need to recommend a solution to meet the technical requirements for email message recovery.
Which command should you include in the recommendation? (To answer, configure the appropriate options in the answer area.)


Answer:
Explanation:

NEW QUESTION: 3
「インシデント管理」の実践では、目標解決時間はどのように使用されますか？
A. 予測可能な応答が確実に達成されるように、開始、承認、および管理されます
B. サービス障害のリスクを軽減するためにスケジュール、評価、承認されています
C. 顧客がサービスに満足していることを確認するために、それらは確立され、レビューされ、報告されます
D. ユーザーの期待を設定するために、合意、文書化、伝達されます
Answer: D

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

Users need to be able to analyze sales by product and color.
You need to create the dimension.
Which relationship type should you use between the InternetSales table and the new dimension?
A. no relationship
B. data mining
C. many-to-many
D. referenced
E. regular
F. fact
Answer: D
Explanation:
Explanation/Reference:
Explanation:
A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.

A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called Customer and Geography, in a snowflake schema.

You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.
Incorrect Answers:
B: A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table.
C: Fact dimensions, frequently referred to as degenerate dimensions, are standard dimensions that are constructed from attribute columns in fact tables instead of from attribute columns in dimension tables.
E: Many to Many Dimension Relationships.
In most dimensions, each fact joins to one and only one dimension member, and a single dimension member can be associated with multiple facts. In relational database terminology, this is referred to as a one-to-many relationship. However, it is frequently useful to join a single fact to multiple dimension members. For example, a bank customer might have multiple accounts (checking, saving, credit card, and investment accounts), and an account can also have joint or multiple owners. The Customer dimension constructed from such relationships would then have multiple members that relate to a single account transaction.

References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/dimension-relationships