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QUESTION NO: 1
How do you create a shared table definition from the DataStage client?
A.Use the save button on the columns tab of the stage editor
B.Use the shared table creation wizard from the repository window
C.Do nothing. They are created automatically when table definitions are imported
D.It cannot be done within the DataStage client. Use the InfoSphere Metadata Asset Manager
(IMAM) utility instead.
Answer: B

QUESTION NO: 2
Which statement about shared containers is TRUE?
A.A shared container is an independently compiled unit
B.A local container can be converted to a shared container
C.A shared container can be converted to a local container
D.A container cannot be created by selecting a group of stages and links in a job
Answer: B
Reference:
https://www01.ibm.com/support/knowledgecenter/SSZJPZ_11.3.0/com.ibm.swg.im.iis.ds.design.doc
/topics/t_ddesref_Converting_Containers.html

QUESTION NO: 3
Which of the following is the correct schema format for a Time column?
A.record (tField:time[hour:minute:second];)
B.record (tField:nullable time[];)
C.record (tField:time[seconds];)
D.record (tField:time[microseconds];)
Answer: C
Reference:
https://www01.ibm.com/support/knowledgecenter/SSZJPZ_11.3.0/com.ibm.swg.im.iis.ds.parjob.dev
.doc/topics/r_deeref_Time_Columns.html

QUESTION NO: 4
Which of the following is TRUE about Transformer Stage when
$APT_TRANSFORM_COMPILE_OLD_NULL_HANDLING is set?
A.A Modify Operator is inserted at run time before a Transformer stage to handle null values
B.If an input column that is used in the derivation expression of an output column contains a null value, then the resulting output column contains a null.
C.If an input column that is used in the derivation expression of an output column contains a null value, then that row will be dropped or, if a reject link had been defined, rejected
D.If an input column that is used in the derivation expression of an output column contains a null value, then the resulting output column will be calculated ignoring the Null value.
Answer: C

QUESTION NO: 5
Your job consists of a DB2 Connector stage followed by a Sort stage followed by a Transformer stage followed by another DB2 Connector stage.
The following two Balanced Optimizer options have been selected:
Push processing to data sources
Push processing to data targets
The following two Balanced Optimizer options have NOT been selected:
Push data reduction processing to data targets
Push all processing into the (target) data server
Assuming the job design allows for maximum optimization, what does the optimized job design look like?
A.Row Generator stage followed by a DB2 Connector stage
B.DB2 Connector stage followed by a DB2 Connector stage
C.DB2 stage followed by a Transformer stage followed by a DB2 Connector stage
D.DB2 Connector stage followed by a Sort stage followed by a Transformer stage followed by another
DB2 Connector stage
Answer: A

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Updated: May 27, 2022