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NEW QUESTION: 1
Which two statements are true regarding the Oracle Data Pump export and import operations?
A. You cannot export data from a remote database.
B. You can compress data but not metadata during export.
C. You can overwrite existing dump files during export.
D. You can rename tables during import.
Answer: C,D
Explanation:
Explanation/Reference:
Explanation:
However, in Oracle 11g there is a new parameter, reuse_dumpfiles, which overwrites any created dump file in a specified folder. This parameter accepts two values: Y and N Default is N If the parameter was set to Y, then Data Pump overwrites the files that already exist.
Reference http://www.dba-oracle.com/T_rman_167_expdp_reuse_dumpfiles_parameter.htm

NEW QUESTION: 2
Which two options are supported in the ACI API to query the MIT tree? (Choose two.)
A. by role
B. objects by master replica
C. specific objects by UUID
D. by distinguished name
E. by class
Answer: D,E

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. Multicast
B. Slowly Changing Dimension
C. Lookup
D. Aggregate
E. Data Conversion
Answer: A,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.