| Exam Code | C2090-424 |
| Questions and Answers | 64 |
| Premium Access | Yes |
| Online Test Engine | Yes |
| Comprehensive Q&A | Yes |
| Success Rate | 98% |
| Real Questions | Yes |
| Updated Regularly | Yes |
| Portable Files | ✔ |
| Unlimited Download | ✔ |
| 100% Secured | ✔ |
| Confidentiality | 100% |
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| Any Hidden Cost | $0.00 |
| Auto Recharge | No |
| Updates Intimation | by Email |
| Technical Support | Free |
| PDF Compatibility | Windows, Android, iOS, Linux |
| Test Engine Compatibility | Mac/Windows/Android/iOS/Linux |
| Sample Questions |  |
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Exam Title :
IBM Certified Solution Developer - InfoSphere DataStage v11.3
Exam ID :
C2090-424
Exam Duration :
90 mins
Questions in Exam :
64
Passing Score :
64%
Official Training :
IBM InfoSphere DataStage v11.5 - Advanced Data Processing
Exam Center :
Pearson VUE
Real Questions :
IBM InfoSphere DataStage Real Questions
VCE Practice Test :
IBM C2090-424 Certification VCE Practice Test
Configuration
- Describe how to properly configure DataStage.
- Identify tasks required to create and configure a project to be used for jobs.
- Given a configuration file, identify its components and its overall intended purpose.
- Demonstrate proper use of node pools.
6%
Metadata
- Demonstrate knowledge of framework schema.
- Identify the method of importing, sharing, and managing metadata.
- Demonstrate knowledge of runtime column propagation (RCP).
5%
Persistent Storage
- Explain the process of importing/exporting data to/from framework.
- Demonstrate proper use of a Sequential File stage.
- Demonstrate proper usage of Complex Flat File stage.
-Demonstrate proper usage of FileSets and DataSets.
- Demonstrate use of FTP stage for remote data.
- Demonstrate use of restructure stages.
- Identify importing/exporting of XML data.
- Knowledge of balanced optimization for Hadoop and integration of oozie workflows.
- Demonstrate proper use of File Connector stage.
- Demonstrate use of DataStage to handle various types of data including unstructured, hierarchical, Cloud, and Hadoop.
15%
Parallel Architecture
- Demonstrate proper use of data partitioning and collecting.
- Demonstrate knowledge of parallel execution.
9%
Databases
- Demonstrate proper selection of database stages and database specific stage properties.
- Identify source database options.
- Demonstrate knowledge of target database options.
- Demonstrate knowledge of the different SQL input/creation options and when to use each.
6%
Data Transformation
- Demonstrate knowledge of default type conversions, output mappings, and associated warnings.
- Demonstrate proper selections of Transformer stage vs. other stages.
- Describe Transformer stage capabilities.
- Demonstrate the use of Transformer stage variables.
- Identify process to add functionality not provided by existing DataStage stages.
- Demonstrate proper use of SCD stage.
- Demonstrate job design knowledge of using runtime column propagation (RCP).
- Demonstrate knowledge of Transformer stage input and output loop processing.
12%
Job Components
- Demonstrate knowledge of Join, Lookup and Merge stages.
- Demonstrate knowledge of Sort stage.
- Demonstrate understanding of Aggregator stage.
- Describe proper usage of change capture/change apply.
- Demonstrate knowledge of real-time components.
8%
Job Design
- Demonstrate knowledge of shared containers.
- Describe how to minimize Sorts and repartitions.
- Demonstrate knowledge of creating restart points and methodologies.
- Explain the process necessary to run multiple copies of the source.
- Knowledge of creating DataStage jobs that can be used as a service.
- Knowledge of balanced optimization.
- Describe the purpose and uses of parameter sets and how they compare with other approaches for parameterizing jobs.
- Demonstrate the ability to create and use Data Rules using the Data Rules stage to measure the quality of data.
- Demonstrate various methods of using DataStage to handle encrypted data.
14%
Monitor and Troubleshoot
- Demonstrate knowledge of parallel job score.
- Identify and define environment variables that control DataStage with regard to added functionality and reporting.
- Given a process list, identify conductor, section leader, and player process.
- Identify areas that may improve performance.
- Demonstrate knowledge of runtime metadata analysis and performance monitoring.
- Ability to monitor DataStage jobs using the Job Log and Operations Console.
9%
Job Management and Deployment
- Demonstrate knowledge of DataStage Designer Repository utilities such as advanced find, impact analysis, and job compare.
- Articulate the change control process.
- Knowledge of Source Code Control Integration.
- Demonstrate the ability to define packages, import, and export using the ISTool utility.
- Demonstrate the ability to perform admin tasks with tools such as Directory Admin.
8%
Job Control and Runtime Management
- Demonstrate knowledge of message handlers.
- Demonstrate the ability to use the dsjob command line utility.
- Demonstrate ability to use job sequencers.
- Create and manage encrypted passwords and credentials files.
8%
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