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IBM Certified Solution Developer - IBM InfoSphere DataStage Sample Questions:

1. You are using the Complex Flat File stage as a source in your job. What are two types of data specifically supported by the Complex Flat File stage for your job? (Choose two.)

A) Data from files that contain Hadoop record types.
B) XML files.
C) Mainframe data files with DB2 tables.
D) Mainframe data sets with VSAM files.
E) Data from flat files that contain multiple record types.

2. In the Slowly Changing Dimension stage, a dimension columns Purpose code property can trigger which two actions. (Choose two.)

A) Insert rows into the fact table.
B) Update the dimension table.
C) Delete duplicate dimension table rows.
D) Detect dimension changes.
E) Update fact table keys.

3. How must the input data set be organized for input into the Join stage? (Choose two.)

A) Sorted by Join key
B) Unsorted
C) Hash partitioned
D) Entire partitioned
E) Key partitioned

4. Which two statements about using a Load write method in an Oracle Connector stage to tables that have indexes on them are true? (Choose two.)

A) The Load Write method uses the Parallel Direct Path load method.
B) The Load Write method uses "Rebuild" mode with no logging automatically.
C) Set the environment variable APT_ORACLE_LOAD_OPTIONS to "OPTIONS (DIRECT=TRUE, PARALLEL=FALSE)".
D) Set the Upsert mode property to "Index".
E) Set the Index mode property to "Bypass".

5. Identify two areas that DataStage can integrate with a Hadoop environment. (Choose two.)

A) Use the Oozie Workflow Activity stage in a sequencer job to invoke Oozie work flows.
B) Use the Big Data File stage to access files on the Hadoop Distributed File System.
C) Use the MapReduce Transformer stage to convert Hadoop Distributed File System data.
D) Use the Hive Activity stage in a sequences to invoke a Hive MapReduce program.
E) Use the Pig Activity stage in a sequencer to invoke a Pig MapReduce program.

Solutions: