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| Section | Objectives |
|---|---|
| Topic 1: Job Design and Development | - Job sequences and control flow - Designing server and parallel jobs |
| Topic 2: Administration and Deployment | - Project deployment and environment management - Monitoring and troubleshooting DataStage jobs |
| Topic 3: DataStage Fundamentals | - Architecture and components of IBM InfoSphere DataStage - Parallel processing concepts and framework |
| Topic 4: Data Integration and Quality | - Data cleansing and validation concepts - Handling heterogeneous data sources |
| Topic 5: Stages and Transformations | - Data transformation and mapping techniques - Common stages (Transformer, Lookup, Join, Aggregator) |
| Topic 6: Performance Tuning and Optimization | - Parallel job performance tuning techniques - Resource management and optimization strategies |
Question 1
A 100MB input dataset has even distribution across 400 unique key values. When you run with a 4-node configuration file, which two changes could improve sort performance in this scenario? (Choose two.)
A. Alter the Sort stage properties to perform a stable sort.
B. Specify "Restrict Memory Usage" to 60MB on the Sort stage properties.
C. Set $APT_TSORT_STRESS_BLOCKSIZE to 50M
D. Convert all numeric fields to varchars.
E. Specify Round Robin partitioning on the input link to the Sort stage.
Question 2
When you run a parallel job, any error messages and warnings are written to the job log and can be viewed from the Director client. What message handler level is available?
A. parameter level
B. record level
C. stage level
D. project level
Question 3
You have created three parallel jobs (Job A, B and C) in which the output of one job is the input to the other job. You are required to create processing that manages this data relationship of the jobs and provide job level restart-ability. What two tasks will accomplish these objectives? (Choose two.)
A. Create a Sequencer job that has triggered events configured allowing Job A to run first, then Job B to run when A completes successfully, and then Job C to run when Job B completes successfully.
B. Set the 'Add checkpoints so sequence is restartable' option in the Sequencer job.
C. Enable the 'Add checkpoints so container is restartable' option for each of the parallel shared containers.
D. Enable runtime column propagation for the job sequence running the jobs.
E. Create two parallel shared containers that has the logic of Job B and Job C and include those shared containers in the correct flow order within the design of Job A.
Question 4
Which job design technique can be used to give unique names to sequential output files that are used in multi-instance jobs?
A. Use a Transformer stage variable to generate the name.
B. Generate unique file names by using a macro.
C. Use parameters to identify file names.
D. Use DSJoblnvocationID to generate a unique filename.
Question 5
You are asked to optimize the fork join job design in the exhibit. This job uses the sort aggregator and a left outer join on the ZIP code column. Currently all partitioning is set to "Auto" and automatic sort insertion is allowed.
Which change will reduce the cost of partitioning that occurs in this job?
A. Hash partition and sort on ZIP code column on the input links to the Aggregator and Join stages.
B. Use Entire partitioning on the input links to the Aggregator and Join stages.
C. Hash partition and sort on ZIP code column prior to the Copy stage and use entire partitioning on the Aggregator and Join stages.
D. Hash partition and sort on ZIP code column prior to the Copy stage, and use same partitioning on the Aggregator and Join stages.
Solutions:
| Question 1 Answer: B,C | Question 2 Answer: D | Question 3 Answer: A,B | Question 4 Answer: C | Question 5 Answer: D |
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