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Do these awful feelings make you feel frustrated or disappointed?
NEW QUESTION: 1
You have an Azure SQL database named DB1.
You plan to create the following four tables in DB1 by using the following code.
You need to identify which table must be created last.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
A. Table1
B. Table3
C. Table2
D. Table4
Answer: C
Explanation:
Explanation
Table1 references Table4. Therefore Table4 must be created before Table1.
Table2 references Table1 and Table3. Therefore Table1 and Table3 must be created before Table2.
Note: FOREIGN KEY REFERENCES is a constraint that provides referential integrity for the data in the column or columns. FOREIGN KEY constraints require that each value in the column exists in the corresponding referenced column or columns in the referenced table. FOREIGN KEY constraints can reference only columns that are PRIMARY KEY or UNIQUE constraints in the referenced table or columns referenced in a UNIQUE INDEX on the referenced table.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-transact-sql?view=sql-server-ver15
NEW QUESTION: 2
A. Option A
B. Option B
C. Option C
D. Option D
Answer: C,D
NEW QUESTION: 3
You maintain a SQL Server Integration Services (SSIS) package. The package was
developed by using SQL Server 2008 Business Intelligence Development Studio (BIDS).
The package includes custom scripts that must be upgraded.
You need to upgrade the package to SQL Server 2012.
Which tool should you use?
A. SQL Server Configuration Manager
B. SQL Server Agent
C. SQL Server DTExecUI utility (dtexecui.exe)
D. SSIS Upgrade Wizard in SQL Server Management Studio
Answer: D
Explanation:
Use the SSIS Package Upgrade Wizard to migrate packages that were developed in SQL Server 2005 Integration Services (SSIS) and SQL Server 2008 Integration Services (SSIS) to the package format that the current release of Integration Services uses.
Reference: SSIS Upgrade Wizard (SSIS Package Upgrade Wizard)
NEW QUESTION: 4
You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent).
The remaining 1,000 rows represent class 1 (10 percent).
The training set is imbalances between two classes. You must increase the number of training examples for class 1 to 4,000 by using 5 data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.
You need to configure the module.
Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
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