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IBM 000-303 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: DataStage Architecture Overview | - Parallel processing architecture basics - Components of DataStage environment |
| Topic 2: Basic Troubleshooting and Monitoring | - Simple error identification concepts - Job run monitoring basics |
| Topic 3: DataStage Fundamentals | - Core concepts of InfoSphere DataStage - Basic ETL and data integration principles |
| Topic 4: Job Design Concepts | - Transformer and data flow basics - Introduction to job stages and links |
| Topic 5: Data Integration Basics | - Flat file and database integration overview - Connecting to data sources |
IBM Certified Solution Developer - IBM InfoSphere DataStage Sample Questions:
In a Transformer expression for a stage variable, there is a nullable input column. Assume the legacy NULL processing option is turned off. What happens when a row is processed that contains NULL in that input column?
- A. The job aborts.
- B. NULL is written to the stage variable.
- C. The value written to the stage variable is undetermined.
- D. The row is rejected.
Correct Answer: B 🗳️
What are two statistics or attributes that can be added to the output of a Data Rule stage? (Choose two.)
- A. Number of violations
- B. Percentage of violations
- C. Job execution owner
- D. System timestamp
- E. Record ID
Correct Answer: D,E 🗳️
Click the Exhibit button.
The job in the exhibit runs to successful completion with no warnings. However, a validation test identifies that the CUSTOMER_MASTER table is empty. You suspect the cause to be related to the NEW_CUSTOMERS table or a defect in the job. Examining runtime metadata may help you track down the problem. Which two product features will help you isolate the cause of the problem? (Choose two.)
- A. Director job monitor tool.
- B. InfoSphere Metadata Asset Manager (IMAM) operational metadata reports.
- C. The view data button in the target Connector stage.
- D. Designer "Show performance statistics" option.
- E. Designer Performance Analyzer tool.
Correct Answer: A,D 🗳️
The effective use of naming conventions means that objects need to be spaced appropriately on the DataStage Designer canvas. For stages with multiple links,expanding the icon border can significantly improve readability. This approach takes extra effort at first, so a pattern of work needs to be identified and adopted to help development. Which feature of Designer can improve development speed?
- A. Show Performance Statistics Feature
- B. Repository Layout
- C. Snap to Grid Feature
- D. Palette Layout
Correct Answer: C 🗳️
Rows of data going into a Transformer stage are sorted and hash partitioned by the Input.Product column. Using stage variables, how can you determine when a new row is the first of a new group of Product rows?
- A. Create a stage variable named sv_IsNewProduct and follow it by a second stage variable
named sv_Product. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product <> sv_Product THEN "YES"
ELSE "NO". - B. Create a stage variable named sv_Product and follow it by a second stage variable named
sv_IsNewProduct. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product = sv_Product THEN "YES"
ELSE "NO". - C. Create a stage variable named sv_Product and follow it by a second stage variable named
sv_IsNewProduct. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product <> sv_Product THEN "YES"
ELSE "NO". - D. Create a stage variable named sv_IsNewProduct and follow it by a second stage variable
named sv_Product. Map the Input.Product column to
sv_Product. The derivation for sv_IsNewProduct is: IF Input.Product = sv_Product THEN "YES"
ELSE "NO".
Correct Answer: A 🗳️
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