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IBM 000-421 Exam Syllabus Topics:

IBM InfoSphere DataStage v8.5 Sample Questions:

1. What is the lowest CPU cost partitioning method?

A) Entire
B) Round Robin
C) Random
D) Hash

2. Which requirement must be met to read from a database in parallel using the ODBC connector?

A) Configure environment variable $APT_PARTITION_COUNT.
B) ODBC connector always reads in parallel.
C) Configure environment variable $APT_MAX_TRANSPORT_BLOCK_SIZE.
D) Set the Enable partitioning property to Yes.

3. A scenario requires selecting only the most recent transactions for each of 2 million unique customers, from a 20 million row DB2 source table containing order history. Which parallel job design would satisfy this functional requirement?

A) Using the DB2 Enterprise stage, select all rows. Perform a unique Sort using customer number and order date sort keys in ascending order.
B) Select all rows using the ODBC Connector stage, use a Sort Aggregator on customer number key to select the maximum order date.
C) Using the Dynamic Relational stage, use custom SQL to select all DISTINCT customer numbers from the order history table.
D) Using the DB2 API stage, select all rows. Use a Sort stage with customer number and order date sort keys in ascending order, then Remove Duplicates with Last Duplicate to retain.

4. You are experiencing performance issues for a given job. You are assigned the task of understanding what is happening at run time for that job. What are the first two steps you should take to understand the job performance issues? (Choose two.)

A) Run job with $APT_DUMP_SCORE set to true.
B) Run job with $APT_TRACE_RUN set to true.
C) Review the objectives of the job.
D) Replace Transformer stages with custom operators.

5. Which two statements are true about DataStage parallel routines? (Choose two.)

A) Parallel routines can be written that are called before or after a stage runs.
B) Parallel routines can be written that are called from within the Transformer stage.
C) Parallel routines created as shared library functions are not supported.
D) Parallel routines are coded within a DataStage Designer editor.
E) Parallel routines are written in DataStage Basic.

Solutions: