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Three different versions are available.
NEW QUESTION: 1
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. Lookup
B. Multicast
C. Data Conversion
D. Aggregate
E. Slowly Changing Dimension
Answer: A,B
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: 2
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started
NEW QUESTION: 3
A company is considering relocating production to a lower-wage country. Volatility in which of the following areas most likely would impact profitability without modifying product landed costs?
A. Product quality
B. Labor costs
C. Commodity prices
D. Currency exchange rates
Answer: D
NEW QUESTION: 4
In the WLAN Tester 2.0 heat map, the tip box displays the following information. According to the information in the figure, the following statement is correct?
A. The SINR and PHY Data Rate that are not displayed in the Tip box are 0.
B. Tip shows the signal information around the point
C. Tip box must be placed on the heat map for 3S and above to display
D. Tip box only shows the SINR and PHY Data Rate of the maximum field strength value.
Answer: D