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NEW QUESTION: 1
Which of the following stage should be matched with the Forecast Category "Omit"?
A. Mid pipeline
B. Early pipeline stages
C. Closed and Won
D. Closed and Lost
E. Late pipeline stages
Answer: D

NEW QUESTION: 2
Service Busキューに含まれるメッセージの数に基づいてスケーリングするバックエンドAzure App Serviceを開発しています。
未処理の有効なキューメッセージの平均キュー長が1000を超える場合、App Serviceをスケールアップするルールが既に存在します。
スケールアップ条件が満たされない限り、App Serviceを継続的にスケールダウンする新しいルールを追加する必要があります。
スケールルールをどのように構成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：各正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

NEW QUESTION: 3
You are developing a SQL Server Integration Services (SSIS) package.
The package uses a data flow task to source data from a SQL Server database for loading into a dimension table in a data warehouse.
You need to create a separate data flow path for data that has been modified since it was last processed.
Which data flow components should you use to identify modified data? (Each correct answer presents a complete solution. Choose all that apply.)
A. Slowly Changing Dimension
B. Multicast
C. Lookup
D. Aggregate
E. Data Conversion
Answer: B,C
Explanation:
A: The transformation that distributes data sets to multiple outputs.
The transformation that distributes data sets to multiple outputs.
C: Lookup Transformation
The transformation that looks up values in a reference table using an exact match.
Note:
* SQL Server Integration Services provides three different types of data flow components:
sources, transformations, and destinations. Sources extract data from data stores such as
tables and views in relational databases, files, and Analysis Services databases.
Transformations modify, summarize, and clean data. Destinations load data into data
stores or create in-memory datasets.
Incorrect: Not B: Data Conversion Transformation The transformation that converts the data type of a column to a different data type. Not D: Slowly Changing Dimension Transformation The transformation that configures the updating of a slowly changing dimension. Not E: The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across.

NEW QUESTION: 4
Which tool can be used for active and passive site surveys?
A. Cisco Predictive RF Planner
B. Fluke Networks AirMagnet Planner
C. Fluke Networks AirMagnet Survey Pro
D. Ekahau Site Survey
Answer: C