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1. Which two statements are accurate regarding usage of database stages? (Choose two.)
A) Database stages cannot create tables and must be done externally.
B) Native database stages match columns by name.
C) Plug-in stages match columns by name.
D) DataStage provides native Oracle database stages.
2. In the exhibit, the Aggregator stage aggregates over CustomerID. The Join stage joins by CustomerID. When the score is created, DataStage will insert hash partitioners and tsort operators to ensure the correct results.
Which two choices will eliminate sort operators from being inserted at run-time? (Select two)
A) Add a Sort stage before the Aggregator stage and specify the Same partitioner for the link going into the Aggregator Set the $APT_SORTJNSERTION_CHECK_ONLY environment variable to "True".
B) Add Sort stages in front of the Join stage and specify the Same partitioner for the links going into the Join. Set the $APT_NO_SORT_INSERTION environment variable to "True".
C) Add a Sort stage before the Copy stage and specify Auto partitioned for the links going into the Aggregator and Join stages.
D) Add a Sort stage before the Copy stage and specify Same partitioners for the links going into the Aggregator and Join stages.
3. You would like to pass values into parameters that will be used in a variety of downstream activity stages within a job sequence. What are three valid ways to do this? (Choose three.)
A) Use environment variables.
B) Place a parameter set stage on the job sequence.
C) Use the UserVariablesActivity Stage to populate the local parameters from an outside source such as a file.
D) Use local parameters.
E) Check the "Propagate Parameters" checkbox in the Sequence Job properties.
4. Which three actions can improve sort performance in a DataStage job? (Choose three.)
A) Adjust the "Restrict Memory Usage" option in the Sort stage.
B) Run the job sequentially so that only one sort process is invoked.
C) Use the stable-sort option to avoid the random ordering of non-key data.
D) Specify only the key columns which are necessary.
E) Minimize the number of sorts used within a job flow.
5. In which two situations is it appropriate to use a Sparse Lookup? (Choose two.)
A) When the output of the Lookup stage needs to be hashed partitioned.
B) When accessing DB2 data using the DB2 API stage.
C) When invoking a stored procedure within a database per row in the streaming link.
D) When reference data is significantly larger than the streaming data (100:1).
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: B,D | Question # 3 Answer: A,C,D | Question # 4 Answer: A,D,E | Question # 5 Answer: C,D |
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