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NEW QUESTION: 1
DRAG DROP
You are developing a SQL Server Integration Services (SSIS) package that imports unsorted data into a data warehouse
hosted on SQL Azure.
You have the following requirements:
* A destination table must contain all of the data in two source tables.
* Duplicate records must be inserted into the destination table.
You need to develop a data flow that imports the data while meeting the requirements.
How should you develop the data flow? (To answer, drag the appropriate transformation from the list of
transformations to the correct location in the answer area.)
Answer:
Explanation:
References:
http://msdn.microsoft.com/en-us/library/ms141703.aspx
http://msdn.microsoft.com/en-us/library/ms141775.aspx
http://msdn.microsoft.com/en-us/library/ms141020.aspx
http://msdn.microsoft.com/en-us/library/ms140182.aspx
NEW QUESTION: 2
Which two statements are true about variable extent size support for large ASM files?
A. Performance improves in a stretch cluster configuration by reading from a local copy of an extent.
B. The metadata used to track extents in SGA is reduced.
C. Rebalance operations are completed faster than with a fixed extent size
D. An ASM Instance automatically allocates an appropriate extent size.
E. Resync operations are completed faster when a disk comes online after being taken offline.
Answer: B,D
Explanation:
A:Variable size extents enable support for larger ASM datafiles, reduce SGA memory requirements for very large databases(A), and improve performance for file create and open operations.
C:You don't have to worry about the sizes; the ASM instance automatically allocates the appropriate extent size.
Note: *The contents of ASM files are stored in a disk group as a set, or collection, of data extents that are stored on individual disks within disk groups. Each extent resides on an individual disk. Extents consist of one or more allocation units (AU). To accommodate increasingly larger files, ASM uses variable size extents.
*The size of the extent map that defines a file can be smaller by a factor of 8 and 64 depending on the file size. The initial extent size is equal to the allocation unit size and it increases by a factor of 8 and 64 at predefined thresholds. This feature is automatic for newly created and resized datafiles when the disk group compatibility attributes are set to Oracle Release 11 or higher.
NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
A travel agency named Margie's Travel sells airline tickets to customers in the United States.
Margie's Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure nears about possible delays due to weather conditions. The flight data contains the following attributes:
The weather data contains the following attributes: AirportID, ReadingDate (YYYY/MM/DD HH), SkyConditionVisibility, WeatherType, WindSpeed, StationPressure, PressureChange, and HourlyPrecip.
You have an untrained Azure Machine Learning model that you plan to train to predict flight delays.
You need to assess the variability of the dataset and the reliability of the predictions from the model.
Which module should you use?
A. Score Model
B. Cross-Validate Model
C. Train Model
D. Tune Model Hyperparameters
E. Evaluate Model
Answer: B
Explanation:
Explanation
References:
https://msdn.microsoft.com/en-us/library/azure/dn905852.aspx
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